You may have years of experience, strong client results, and a clear way of solving problems.

AI cannot see any of that until you publish enough evidence.

That is the part of AI visibility that often gets missed. Your expertise exists in your work. An AI system needs to find it in your content.

A stream of short tips may show that you know the topic. A detailed explanation shows how you think, what you have learned, and how you make decisions.

That gives AI more reason to treat your work as a source.

I started blogging for my business in 2004. By early 2005, I was teaching other business owners how to use blogs to reach and serve their audiences.

From the beginning, I saw long-form content as one of the best ways to inform, educate, and entertain a reader. A blog post can be short, of course. The posts that stayed useful over time usually gave the reader enough context to follow the writer’s thinking.

That belief has stayed with me as the tools have changed. AI gives us another reason to publish the thinking behind our advice. It can only recognize the experience, judgment, and process we have made visible.

AI needs more than a conclusion

Consider a common visibility question:

“How often should I post on LinkedIn?”

A short answer might recommend posting 3 times a week.

That gives the reader a number. It gives an AI system one fact it can repeat.

A stronger source explains how the answer changes based on the person’s goals, available time, audience, and existing content. It may include examples, tradeoffs, and the reasoning behind the recommendation.

The second version contains evidence of judgment.

That evidence matters when someone asks AI a detailed question such as:

“I’m a consultant with limited time. How often should I post on LinkedIn if most of my business comes from referrals?”

The system needs more than a posting schedule. It needs a source that has considered the reader’s situation.

The 5 kinds of evidence AI can find in your content

AI systems look for information that helps them answer a question with confidence. Your content becomes more useful when it includes several forms of evidence.

1. A clear point of view

Your content should show what you believe about the topic.

A clear point of view goes further than stating a preference. It explains how you reached that position and what experience shaped it.

For example:

“Posting more often can help when each post supports a clear business goal. Frequency on its own gives you activity without a useful way to judge the result.”

This gives the reader a position and a reason behind it.

2. A decision process

Expertise often appears in the choices you make.

What do you look at first? Which factor carries the most weight? What would cause you to change your recommendation?

When you publish that process, AI has something it can apply to a new question.

A useful article might explain:

• Which factors you review

• The order you review them in

• How you make the final choice

• What conditions would change your answer

This turns advice into a method.

3. Examples from real work

Examples show how an idea holds up outside a clean explanation.

You can include a client situation, a project, your own experiment, or a pattern you have seen repeatedly.

The example does not need to reveal private details. It needs enough context for the reader to see what happened.

For instance:

“A consultant I worked with posted every weekday and received little response. We changed her plan to one detailed weekly post based on client questions. She had more useful conversations because the content showed how she approached the problem.”

That example gives the advice weight.

4. Limits and conditions

Experienced people know that advice changes with the situation.

State who the advice is for. Explain when it applies. Name the factors that could lead to a different result.

This gives AI a more accurate source to work from.

A recommendation for someone with an established referral network may differ from advice for someone building an audience from the beginning. Both can be true within the right conditions.

5. A repeatable structure

AI can work with a process more easily when the steps are clear.

You may already use a process with clients without having written it down. Publishing those steps makes your experience easier to find, explain, and cite.

A useful structure could include:

1. The problem you identify

2. The questions you ask

3. The factors you compare

4. The action you recommend

5. The result you review

A simple name can help readers recall the process when the name adds meaning.

Why many short posts fall short

Short posts can share a strong observation, useful tip, or timely response. They can keep you visible and give readers regular contact with your ideas.

Their limited space often leaves out the details that show judgment.

The reasoning may remain inside your head. The example may be reduced to one line. The conditions may disappear. The process may never be explained.

AI can quote the tip. It has less evidence for treating the creator as a source with a developed method.

This is one reason experienced professionals can publish often and still remain hard to identify through AI search. Their best thinking stays inside client calls, workshops, private notes, and years of practice.

Long-form gives your evidence a place to live

A detailed article gives you room to gather the evidence in one place.

The word count has little value by itself. The article becomes useful through the depth and quality of the information it contains.

A strong piece may include:

• The question readers ask

• Your direct answer

• The reasoning behind it

• An example from your work

• Conditions that shape the advice

• The process the reader can follow

• Related questions that come next

This creates a complete source an AI system can draw from.

Which idea should you develop first?

Choose a question where your answer depends on experience and judgment.

A good candidate often meets 4 of these conditions:

• Clients ask you about it regularly.

• Your answer includes “it depends,” followed by clear reasons.

• Your experience has changed how you think about it.

• You have seen a common approach fail.

• You use a repeatable process to solve it.

• The topic connects to work you want more clients to hire you for.

• You can include a useful example.

• You want your name connected with the subject.

The strongest topic may already be sitting in a client conversation you have had many times.

A useful test for your content

Choose one article or post you have already published.

Read it through these 5 questions:

1. Does this state what I believe?

2. Does it show how I reached that belief?

3. Does it include evidence from my work?

4. Does it explain when the advice applies?

5. Does it give the reader a process they can follow?

Count how many questions you can answer with a clear yes.

A piece that meets 4 or 5 gives readers and AI more evidence of your expertise.

A piece that meets 1 or 2 may still be useful. It may work better as a starting point for a more developed article.

Your experience needs to be documented

Years of experience matter. Published evidence helps other people find and use that experience.

This is where long-form content can support your visibility. It gives you space to document how you think, why you make certain choices, and what your work has taught you.

Dorie Clark explores a related idea in The Long Game. Recognition often grows from a body of work created over time. For this purpose, your body of work needs to contain enough substance for someone to recognize what belongs to you.

AI adds another reason to document that thinking. It can only work with what it can find.

Take one action today

Write down the question you explain most often to clients.

Under it, add 5 headings:

1. What I believe

2. How I reached this conclusion

3. What I have seen in my work

4. When this advice applies

5. The steps I recommend

Add 2 notes under each heading.

You now have the core material for a source that shows more than your answer. It shows the experience behind it.

Prompts to document your expertise

4 prompts + a SuperPrompt (download below) will help you find the evidence already present in your work and turn it into useful content.

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In this Substack Live, I talked with about his new book, Refuse to Be Irrelevant: The New AI & Video System for Being Seen, Trusted, and Paid in the Age of AI, and his AI Video Authority System.

The big theme is simple: AI can help us create faster, but it does not replace trust. For solo business owners, coaches, consultants, and service providers, the real advantage still comes from your voice, your experience, your point of view, and your willingness to be seen.

Lou talked about the fear many experienced business owners are feeling right now. He calls it FOBO, or fear of becoming obsolete. It is that nagging worry that people may stop opening your emails, watching your videos, taking your calls, or seeing you as relevant.

The answer is not to panic or try to do everything. The answer is to build a simple visibility system that helps people see you, trust you, and remember why you are the person they want to work with.

Trust matters more when content is easy to create

AI has made it easier for anyone to produce content. That creates a lot more noise.

Lou’s point was that people now need to know who they can trust. A polished post, image, or video is no longer enough. Viewers want to know there is a real person behind the message.

That is where video still has an advantage. When people can see your face and hear your voice, they get a stronger sense of who you are. Video helps create familiarity faster than text alone.

AI should support your expertise, not replace it

Lou was clear AI is useful for speed and support. It can help with research, scripting, editing, repurposing, and distribution.

But AI should not take over your judgment.

One of the best uses Lou shared is using AI before you record. Ask it to help tighten your message, find a stronger way to frame your idea, or suggest a case study that supports your point.

Then use AI during editing or after recording to turn a single piece of content into a blog post, Substack article, LinkedIn post, YouTube description, or short clip.

The key is this: start with your real expertise. Let AI help you move faster.

Lou’s system has three parts

Lou described his AI Video Authority System around three engines:

Visibility
People need to see you. You cannot build trust if people never hear from you.

Authority
People need proof that you know what you are talking about. Your content should show your experience, ideas, examples, and point of view.

Relevance
People need to feel that your message fits what is happening now. What worked three years ago may no longer be enough.

Together, these three pieces help you stay visible, trusted, and useful.

Video does not have to be perfect

One of the best moments in the live video was Lou’s camera glitching while we were talking about video.

It made the point for us.

Perfection is not the goal. Showing up is the goal.

Lou said one of the biggest mistakes people make is creating video and then leaving it on the hard drive. They wait for it to be better, cleaner, or more polished.

His advice was to get it out there. A 20-second video is enough to start. A live video can work well since you do not have to edit it. If you already record audio interviews or podcasts, turn on the camera and give yourself more content to work with.

Repurposing makes video easier to sustain

Video becomes more useful when you do not treat it as one-and-done content.

Lou shared how AI can take a podcast, video, or interview and help turn it into several useful pieces of content. That might include a blog post, Substack article, LinkedIn post, YouTube short, or social clip.

This matters for solo business owners who do not have a large team. You can create one strong source piece, then use AI to help you reshape it for different platforms.

That makes video less of a heavy task and more of a repeatable content habit.

Start with one small action

If you are new to video, Lou’s advice is simple: start small.

You do not need a big studio setup. You can use your phone. You do not need a five-minute video. You can start with 20 seconds.

Now sure where you stand on the “impossible to ignore” spectrum? Take Lou’s quick assessment to get a detailed diagnosis of where you’re strong and where you could improve.

Are you impossible to ignore?

How to take action

Here are a few ways to put this conversation into practice.

Try this first

Record a short video answering one question your clients or readers ask often.

Keep it simple:

• State the question

• Give your answer

• Add one example

• Tell people what to do next

That could be enough for your first video.

Use AI before you record

Before you turn on the camera, ask AI:

“Help me tighten this idea for a short video. Keep my voice natural. Make the message clear and useful for [your audience].”

Then review what it gives you. Keep what sounds like you. Edit the rest.

Use AI after you record

After you record, use the transcript to create:

• A short summary

• A LinkedIn post

• A Substack note

• A YouTube description

• A few short clips or pull quotes

This is where AI can save time without taking over your message.

Keep the human layer visible

Use AI to help with the process, but keep your voice, point of view, and lived experience in the content.

That is what makes the content believable.

A simple prompt to use

Copy and paste this after you record a short video or live conversation:

“I’m going to give you a transcript from a video. Pull out the main idea, the 5 strongest takeaways, and 3 simple actions a [your ideal client] can take this week. Keep the language clear, practical, and conversational. Do not make it sound overly polished or generic.”

Final takeaway

AI can help you create faster, but trust still comes from you.

Your experience, your examples, your face, your voice, and your judgment are what make the content worth paying attention to. Video gives people a way to feel that faster.

Start small. Keep it useful. Let AI help with the parts that slow you down.

What are your questions about using AI and video about staying visible and impossible to ignore? Post them in the comments, and I’ll get Lou Bortone back to answer them!

Recommended

A few days ago, I had one of those “what if I tried this?” ideas.

June is my birthday month, and I wanted to do something fun for my community. I didn’t want to send a plain discount email. I didn’t want to create a big campaign that would take days to set up.

Something that gave people a reason to engage and helped grow my Your Visibility Edge subscriber list at the same time.

That’s how the Visibility Adventure Wheel started.

And here’s the part to pay attention to: I went from brainstorming ideas to a live AI-built promotion in about 3 to 4 hours.

Was every part perfect? No.

Did I get stuck on the tech? Yes. More on that in a minute.

But the promotion got built, branded, customized, and launched. That’s the useful part if you’ve been thinking about running a small campaign of your own and keep making it bigger than it needs to be.

Start with one clear reason

Before I opened WooBox or asked AI for ideas, I had to answer one question:

Why am I doing this?

For me, the reason was simple. I wanted to grow my newsletter audience and give people a fun way to interact with me during my birthday month.

Your reason might be different.

Maybe you want to:

• grow your email list

• bring attention to one offer

• re-engage people who haven’t heard from you in a bit

• promote a workshop

• get people to try a paid newsletter

• create a fun reason to reconnect with past clients

This is where a lot of promotions go sideways. The tool becomes the focus too soon. The wheel, quiz, giveaway, or landing page gets all your attention before you’ve decided what the promotion is supposed to do.

For me, the wheel was only the format. The real goal was list growth and engagement.

That made the next decisions easier.

The first idea probably won’t be the best idea

Most spin wheels look and feel generic.

Discounts. Coupons. Freebies. A basic spin-to-win setup.

Nothing wrong with that. But it could belong to almost anyone.

So, I discussed it with ChatGPT.

I explained the goal, the audience, the birthday-month angle, and the fact that I wanted the promotion to feel connected to my brand. I wanted it to be playful, but still useful. I wanted it to feel like me, not like a random promo template.

This is where you can use AI well.

Don’t ask it to “write a promotion.”

Ask it to help you think.

Give it your rough idea. Tell it what feels off. Tell it what you don’t want. Ask it to compare options. Ask it why one theme might work better than another.

That back-and-forth helped me land on the Visibility Adventure Wheel.

The theme made sense for my brand because I’ve used adventure language in my work for years. Once I had that idea, the wheel stopped feeling like a coupon dispenser and started feeling like a branded promotion.

That’s the shift you want in your own campaign.

Use a template, then make it yours

I did not build this from a blank page.

I started with a WooBox template.

That helped because the basic structure was already there. I didn’t have to figure out how to create a spin-to-win wheel from scratch. I could focus on the parts that mattered more: the names, prizes, branding, colors, copy, and flow.

Then I used the built-in WooBox AI builder (think vibe coding, like with Lovable) to customize the promotion.

That part surprised me a little. The built-in AI helped speed up the setup inside the tool, and ChatGPT helped me evaluate the bigger brand and content decisions outside the tool.

That combination worked well.

WooBox AI helped with the build.

ChatGPT helped with the thinking.

If you’re creating a promotion, that’s a useful distinction. Some AI tools are good at producing the thing inside the platform. ChatGPT is better for talking through the strategy, testing the idea, checking the copy, and deciding whether the promotion still sounds like you. You’ll also burn fewer AI tokens.

Your theme has to do some work

Once I had the Visibility Adventure Wheel idea, I needed each slice to feel connected.

The slice names became:

• Compass Point

• Scenic Shortcut

• Trail Map

• Discovery Route

• Adventure Map

• Guide’s Insight

• Summit Pass

• Treasure Chest

The names are simple. That’s good. A confused person doesn’t sign up. A confused person clicks away.

Your theme should make the promotion easier to understand, not harder. It should give the campaign a little personality and help the pieces feel connected.

For your business, that theme might come from:

• the language you already use

• the way your clients talk about the work

• a repeatable framework you teach

• a seasonal event

• a milestone

• a problem your audience wants to solve

• a small result you can help them get

The theme doesn’t need to be brilliant. It needs to fit.

Choose prizes you can deliver

This is where I had to slow myself down.

A promotion can look fun on the front end and become a hassle on the back end.

At one point, I considered offering a custom visibility audit. It sounded useful. It also would have created too much manual work if several people won.

So I changed it.

The final prize list included things I already had, could deliver easily, or could create without turning the promotion into a second job:

• Annual Your Visibility Edge subscription discounts

• A free month of paid Your Visibility Edge

• 50% off The Visibility Loop

• An AI Prompt Pack

• A Visibility Adventure Map worksheet

• Ask Denise One Question by Email

• Entry into a Visibility Accelerator Package grand prize drawing

That mix gave people something real without creating a delivery problem for me.

Use that as your filter.

Before you add a prize, ask:

• Would my audience care about this?

• Does it connect to my business?

• Can I deliver it easily?

• Will this create follow-up work I don’t want?

• Does it point people toward a next step?

A good promotion gives people value and protects your capacity.

Both matter.

Let AI help you make decisions

I used ChatGPT throughout the process, but not in a “write everything for me” way.

I used it to discuss and evaluate:

• design choices

• branding

• prize names

• copy

• theme fit

• whether an idea felt too generic

• whether a prize created too much work

• whether the promotion made sense for my audience

That’s the part I wish more solo business owners would try.

AI is useful when you need a first draft. But it may be even more useful when you need a thinking partner and you don’t have another person sitting next to you.

You can say:

“This feels too generic. Give me 5 stronger directions.”

Or:

“Which of these prizes creates too much manual work?”

Or:

“Does this promotion feel connected to my brand, or does it feel like a random giveaway?”

Or:

“Here’s my copy. Make it warmer and clearer without making it sound overdone.”

That kind of prompting saves time because you’re not staring at the same decision for 45 minutes.

The build took 3 to 4 hours

From brainstorming to live promotion, the whole thing took about 3 to 4 hours.

That included:

• choosing the promotion idea

• working through the theme

• naming the slices

• deciding on prizes

• customizing the WooBox template

• using the WooBox AI builder

• reviewing copy in ChatGPT

• adjusting the branding and design

• testing the wheel

• getting it live

That is the part I want you to sit with for a second.

This did not require a huge launch plan.

It did not require a designer.

It did not require a week of planning.

It did require decisions.

That’s usually where the time goes. The tech matters, but the bigger time drain is often deciding what the campaign is, who it is for, what it offers, and why anyone should care.

AI helped me move through those decisions faster.

The tech snag was Zapier

The hardest part was not the wheel.

The hardest part is (still) getting Zapier to send email addresses from WooBox to my MailerLite list.

That’s the unglamorous part of these projects. The idea is fun. The branding is fun. Watching the wheel work is fun.

Then you have to connect the tools.

This is where I’d give you one practical warning: before you spend too much time polishing the promotion, check the connection between your promo tool and your email platform.

Can you send new subscribers to the right list or group?

Can you tag them?

Can you test the form?

Can you confirm the email lands where it should?

That one step matters because the whole point of the promotion is to create a follow-up path. If the names and emails don’t go where they need to go, you have a pretty campaign with a broken handoff.

I still don’t have it working, but that part takes the most patience.

What I’d do differently next time

I’d test the email connection earlier.

That’s the big one.

Before I spent much time polishing the final copy, I’d make sure WooBox, Zapier, and MailerLite were talking to each other properly.

I’d also write the follow-up emails before launch. Not a long sequence. Just a few messages that welcome people, deliver the prize, and point them toward the next useful step.

The wheel gets people to enter.

The follow-up is where the relationship continues.

What this means for you

If you’ve been thinking about a small promotion, don’t start by asking, “What tool should I use?”

Start with:

What do I want people to do?

Then ask:

What would make that action feel easy, useful, and connected to my business?

That’s where the promotion starts to take shape.

You might not need a wheel. You might need a quiz, a giveaway, a short challenge, a coupon, a live session, or a simple email-only promotion.

The format can change.

The process stays pretty much the same:

• choose the goal

• pick the audience

• create a simple theme

• offer prizes or incentives you can deliver

• use AI to test your ideas

• build from a template when you can or create from scratch

• check the tech connection early

• launch before you overwork it

That’s the real lesson from my Visibility Adventure Wheel.

A small idea can become a live promotion faster than you think when you stop trying to figure out every piece alone.

The Visibility Adventure Wheel is live only during my birthday month. The process behind it is something I’ll use again, and it may be worth trying the next time you want to bring fresh attention to your work.

Take the Wheel for a Spin!

Maybe your next AI project isn’t a promo wheel.

Maybe it’s a simple app that helps your clients make a decision, complete a task, organize information, or get a useful result faster.

That’s what we’re working on inside the AI App Creation Lab. In 4 weeks, Ellen Britt and I will guide you through building a real app with AI, even if you don’t code and don’t have a finished idea yet.

You’ll get live weekly sessions, replays, support, and 3 custom GPTs to help you move from “I have an idea” to “I built this.”

The next small group cohort starts June 17.

Leave a comment

AI has changed the content game. Polished copy is no longer hard to produce, which means the value is shifting from speed and smoothness to judgment, originality, and the human experience behind the words.

is passionate about bridging the gap between technology and humanity. He explores voice preservation, AI humanization, and soul retrieval on his Substack, The Humanizers, and in his work with the AI Success Club.

More importantly, Andy’s fourth book dropped today (March 28), and our livestream was going to be a discussion about the issues addressed in the book, The Humanizers Strike Back.

You can learn more about Andy’s stance on AI and preserving your voice in this article:

The Humanizers

The Humanizers Strike Back

Back in late 2024, when the first Humanizers book landed, the conversation still felt manageable. AI was a tool you opened deliberately, wrestled with, and then edited heavily. The friction was obvious, almost reassuring. You knew you were the one doing the real work…

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22 days ago · 3 likes · 1 comment · Andy O'Bryan

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A strong article gives you a starting point. The next piece should prove you can answer the question that comes after it.

Last week, I wrote about how AI LLMs decide what to cite for AI Search and why clear, useful content gives AI tools something better to work with.

That article started with a question from a luxury travel advisor:

“If I answer the right questions on my site, will ChatGPT or Perplexity ever mention my business?”

My answer was yes, when your content is clear enough for AI tools to understand, connect, and reference.

This week, I want to take that idea one step further. Once you publish one strong article, the next move matters. A lot.

Repurposing can make good ideas smaller

You know the routine. You write a good article. Then you pull a quote for LinkedIn. Turn a section into a short post. Make a graphic. Create a Note. Maybe record a short video.

I’ve done all of that.

For a long time, it’s what other creators and I recommended for smart content marketing. One idea. Several formats. More chances for people to see it.

Then I started to notice something in my own work.

Some pieces were helping the reader. Others were just proving I could extract more content from the original article.

The article had the strongest thinking. The repurposed pieces were often smaller, thinner versions of the same point. They looked useful at a glance, but they didn’t answer anything new.

And if the follow-up piece doesn’t answer anything new, why should a reader spend time with it?

The better follow-up question

After I publish a strong article, I look for the next question it creates. That one question changes the work.

A strong article should make a reader think. It should help them connect the idea to their own business and wonder what to do next. That next question is where the useful follow-up content lives.

For example, if you write an article about how AI tools cite content, the next question might be:

“How do I make my existing content easier for AI tools to understand?”

That could become a checklist.

Another reader may ask:

“What kind of questions should I answer on my website?”

That could become an FAQ page.

Someone else may wonder:

“Where should I put these answers?”

That could become a short article about website structure.

Each follow-up makes the original article more useful.

AI visibility needs developed thinking

AI tools work better with clear answers, useful examples, and enough context to connect your ideas across several pieces.

That matters because AI search is starting to connect ideas across your body of work. One article may introduce your point of view. The follow-up pieces show whether you can keep answering useful questions around that topic.

This is where many creators weaken their own visibility. They publish one strong piece, then cut it into short posts that all say the same thing. A posting schedule can look consistent while the body of work stays thin.

Depth shows up when you answer the next question, give a real example, and name the tradeoffs your reader has to deal with. That’s the kind of content that gives readers a reason to trust you. It also gives AI tools more context to work with.

The authority test

Here’s the test I’m using more often now:

Does this follow-up piece prove I can answer the next question?

When the piece answers a real next question, I’ll consider creating it. When it doesn’t, I leave it in my notes.

• A quote can work when it clearly names the main idea.

• A checklist can work when it helps someone act.

• A Note can work when it gives one complete thought.

• An FAQ can work when it answers a question people are likely to search.

• A graphic can work when the idea is hard to understand in plain text.

I choose the job of the piece before I choose the format.

A simple example

Let’s say a business consultant writes an article called:

“How to Know When Your Offer Is Too Complicated”

That article may be strong on its own. It explains the problem. It gives signs to watch for. It makes the reader aware of something they may have been tolerating for too long.

The next question might be:

“How do I simplify my offer without losing the parts clients value?”

That could become a follow-up article.

Another question might be:

“What are the signs my clients are confused before they buy?”

That could become a checklist.

A third question might be:

“What should I change on my sales page first?”

That could become an FAQ answer or short website update.

Each piece earns its place because it answers something the original article brought up.

Where to put the next piece

Let the question guide where the content belongs.

• If someone would search for the answer, put it on your website.

• If the answer shows your point of view, LinkedIn may be a good fit.

• If it’s a short observation that can stand alone, use Substack Notes.

• If the idea needs context, examples, and your personal take, use your newsletter.

• If the answer helps someone take action, turn it into a checklist, prompt, or short worksheet for subscribers.

The right answer belongs where your reader is most likely to use it.

Your next step

Choose one article you’ve already published.

Read it like a client or reader who is smart, busy, and trying to apply the idea to their own business.

Then write down 3 questions they might ask next.

Choose the strongest question.

Create one follow-up piece that answers it clearly.

That’s it.

This is the kind of repurposing I trust more now because it keeps the original thinking intact and gives the reader somewhere useful to go next.

A strong article is worth more than one round of promotion.

It can start a trail of useful answers that help readers understand your thinking and apply it to their own business. That’s where repurposing gets more interesting to me now. The follow-up piece becomes proof you can keep answering the questions your work raises.

So before you turn your next article into a batch of smaller posts, pause and ask one question:

Answer that well, and your content starts doing a better job for your readers, your visibility, and the body of work you’re building over time.

For paid subscribers, I’m sharing the exact process I’d use to turn a long-form article into stronger follow-up content using AI.

You’ll get a step-by-step workflow and one detailed prompt that helps you find the next reader question, choose the right format, draft the follow-up piece, and check whether it sounds specific enough to publish.

Subscribe now

Read this first: The free article gives you the basic shift: after you publish a strong article, look for the next question it creates.

For you, I recommend taking it here after reading "After the Article, Then What?" - 5 Steps and a detailed prompt…

This process helps you use AI to find the strongest follow-up pieces from one long-form article. The goal is to create repurposed content that adds depth, answers a real reader question, and supports your visibility across search, AI tools, and the platforms where your readers pay attention.

Read more

Last week, a luxury travel advisor asked me something interesting:

“If I answer the right questions on my site, will ChatGPT or Perplexity ever mention my business?”

That question applies way beyond travel.

You could be a coach, consultant, trainer, designer, wellness professional, or service provider. The issue is the same: AI tools are starting to shape who gets seen online. Most solo business owners still haven’t adjusted how they create content for that shift.

The answer I gave her was simple:

“Yes. But AI needs to understand your thinking clearly enough to quote it.”

This is part of the larger shift toward AI search optimization.

The mistake most solo business owners make

A lot of business websites still rely on broad service pages, generic blog posts, and keyword-heavy articles. AI tools tend to pull clearer, more direct answers that explain reasoning and experience.

That luxury travel advisor could write:

“Experience unforgettable luxury cruises and curated land journeys.”

Or she could answer:

“Is a luxury river cruise a good first Europe trip for travelers over 50?”

The second example gives AI a clearer structure for interpretation, reference, and quotation.

McKinsey recently reported that:

That’s a big change in how people discover businesses, research solutions, and make decisions.

Clear answers surface more often in AI search

I want you to think about the questions your clients already ask you over and over again.

Focus on the questions that keep showing up in calls, emails, and conversations.

For the luxury travel advisor, those questions might be:

• “Is a river cruise worth the price?”

• “Should I do a land tour or a cruise first?”

• “How far ahead should I book Europe travel?”

• “What’s included on a luxury cruise?”

• “Do I really need a travel advisor?”

For your business, the questions will be different. But the structure stays the same.

That’s the important part. Search behavior is changing fast.

Search Engine Land summed it up well:

That’s exactly what AI systems are trying to surface.

A content structure AI tools can understand

This is where most people overcomplicate things.

Clear, specific answers tend to surface more often in AI-generated responses than long general articles.

Here’s the format I’d recommend:

Question
Write it exactly how a client would ask it.

Short answer
Two or three sentences.

Your reasoning
Explain why you believe this based on your experience.

The nuance
Where does the answer change depending on the person or situation?

Here’s how that might look for the travel advisor:

Q: Is a luxury river cruise a good first trip to Europe?

Answer:
For many first-time Europe travelers, yes. A luxury river cruise removes a lot of the stress around transportation, hotels, unpacking, and logistics.

Why:
Clients who want a calmer pace usually enjoy the structure and convenience. They can see several cities without constantly changing hotels.

The nuance:
Travelers who want more independence or nightlife sometimes prefer a custom land itinerary instead.

That structure works because it sounds human. It reflects experience. It answers a real question clearly. Question-and-answer content is becoming easier for AI search systems to interpret and reference.

How this works across different businesses

The travel advisor example is easy to picture, but this applies almost everywhere.

A business coach could answer:

• “Do I need a course before I start coaching?”

• “How often should I email my list?”

A wellness professional could answer:

• “How long does it take to see results?”

• “What should I expect in the first session?”

A consultant could answer:

• “Should I hire before I automate?”

• “What’s the biggest mistake companies make here?”

Across industries, the pattern stays surprisingly consistent. AI tools respond well to content that reflects real expertise and clear thinking.

Where to publish AI-friendly FAQ content

I’d create a dedicated section on your website for these kinds of questions.

Something simple like:

• /client-questions/

• /faq/

• /common-questions/

Organize the questions by topic. Keep the formatting clean and easy to scan.

Short paragraphs help. Clear headings help. Specific answers help even more.

You’re making it easier for both people and AI systems to understand what you know and who you help.

AI search behavior is changing how people find businesses

More people are starting their research inside AI tools before they ever search Google.

That trend is growing quickly.

If your content helps AI understand:

• who you help

• what you believe

• how you think

• where your experience applies

you increase the chances of being surfaced in those conversations.

A lot of solo business owners are still early in adapting their content for AI-driven search behavior.

Your next step

Start small.

Pick five questions clients ask you all the time. Answer them clearly using this structure.

Then test them yourself inside ChatGPT, Claude, or Perplexity and see what comes back. Pay attention to the kinds of sources AI tools cite and how those answers are structured.

That’s where you start learning what AI systems can easily understand and reference.

And if you want help figuring out which questions are most worth answering for your business, that’s exactly the kind of work I help clients think through.

Recommended Reading

A few weeks ago, I reviewed a newsletter draft from a business owner who told me she was “being careful with AI” because she didn’t want to sound generic. The draft already sounded generic before AI touched it.

You may have done some version of this yourself.

You sit down to write about your work and suddenly everything starts sounding broad, polished, and strangely interchangeable. “Consistency matters.” “Relationships are important.” “Focus on providing value.”

None of those statements are wrong. The problem is that the internet already has millions of versions of them, and AI learned from all of them. So when you feed vague positioning into AI, the output usually becomes cleaner, faster, and even more generic.

The parts you remove are often the parts readers remember

One client pasted a draft into ChatGPT and asked it to “make this sound more professional.” The revised version removed the one thing that made the original interesting: a direct story about a client wasting six months chasing the wrong audience because they were afraid to narrow their positioning.

The new version sounded polished. It also sounded like hundreds of other marketing emails.

She looked at both drafts and said, “I think I’ve been editing myself out of my own content for years.”

That stayed with me because I often see this among experienced business owners. You built your reputation through client work, referrals, results, and years of experience. You learned how to sound credible, measured, and useful.

That approach worked well for a long time online.

The internet changed faster than most people expected

Now the volume of polished content has exploded. You can generate ten decent LinkedIn posts in minutes. You can summarize articles, rewrite emails, produce outlines, and spin one idea into twenty variations without much effort.

Readers see far more content every day that sounds informed, organized, and professionally written. A lot of it blends together fast.

The people who stand out tend to leave more evidence of their thinking behind.

You can see it in the examples they choose, the client situations they describe, and the tradeoffs they mention. You can feel it when someone explains where common advice breaks down in real client work, or why they made a decision that goes against the usual recommendation.

That kind of specificity carries more weight now because polished competence is easy to produce.

AI also exposes the ways you avoid visibility

I’ve noticed another pattern, too.

People say they want AI to save time. Then they spend hours organizing prompt libraries, testing workflows, rewriting outputs, building systems, and watching tutorials.

Meanwhile, their strongest ideas never make it onto the page.

Your best client stories stay trapped inside Zoom calls. The observations you almost said out loud get softened into “helpful tips.” Your marketing stays clean, reasonable, and forgettable.

I’ve done versions of this myself. 🤦‍♀️

I’ve spent an hour trying to improve a workflow when the harder and more useful move was writing the sentence I was avoiding because I knew some people would disagree with it.

You can feel the difference when you stop smoothing every edge off your thinking. Readers get a clearer sense of how you make decisions, what you’ve learned from experience, and where your perspective came from.

That creates more recognition than another polished summary.

Readers notice accumulated judgment

Some business owners are going to feel this shift more than others. If you built authority mainly through polished communication, you’re now competing with tools that produce polished communication instantly.

The harder thing to reproduce is accumulated judgment.

The decision pattern you noticed after working with fifty clients. The moment when you realized common advice broke down in practice. The client reaction you’ve seen often enough that you trust your read on it.

Those observations usually come from repetition, mistakes, conversations, and years of paying attention. Readers may not describe it that way, but they can feel the difference between recycled advice and earned conclusions.

A simple test for generic content

One of the simplest tests for generic content is removing your name from the piece and asking yourself how many other people in your industry could have written it with minor edits.

That doesn’t mean every post needs controversy or dramatic storytelling. Readers just need enough specificity to feel there’s a real person behind the words, making decisions, noticing patterns, and drawing conclusions from lived work.

One book that connects strongly to this is Obviously Awesome. One reason I recommend it is that it pushes you to define what makes your perspective distinct instead of relying on broad marketing language.

The strongest AI workflows start before the prompt

The business owners getting the best results with AI usually bring stronger raw material into the process before they ever write a prompt.

They save objections from sales calls. They collect examples. They pay attention to sentences that create reactions from clients.

They notice where they consistently disagree with standard advice. They keep track of moments where they almost softened the point, then decided to leave it in.

That gives AI something more useful to work with.

I’ve started paying closer attention to sentences I hesitate to publish. Those are often the parts connected to direct observation instead of performance.

Readers can feel the difference. You can feel it when someone writes from accumulated client work instead of recycling ideas already circulating online.

One thing to try this week

You probably already know more than you think you do. A lot of the value is sitting inside conversations, decisions, client patterns, frustrations, and observations you haven’t fully documented yet.

Open a recent post, email, or LinkedIn update. Highlight every sentence that sounds polished but could apply to almost anyone in your field.

Then add:

• One client pattern you’ve seen repeatedly

• One opinion you usually soften

• One decision you made that went against common advice

• One sentence you almost removed because it felt too direct

That’s usually where readers start seeing the person behind the expertise.

The hard part usually isn’t getting AI to write more content.

It’s getting clearer about what you already know, what patterns you’ve noticed, and where your experience shows up in your decisions. That takes more than a generic “write in my voice” prompt.

In the paid section below, I’m sharing the prompts I’d use to help you pull more lived experience, sharper observations, and stronger judgment into your content. These are built to help you spot generic thinking faster, surface patterns from client work, and turn real expertise into clearer visibility.

Prompts for making your expertise more visible

Read more

TL;DR: Building a tool does something for your visibility that content alone can't. Content gets read once. A useful tool gets used again and again, inside someone's workflow. I've been building one for six weeks with no coding background, and the process taught me as much about consistent effort as anything I've done in 30 years of online marketing. The paid section walks you through three steps to find the tool hiding in your existing work and get a first version started.

Six weeks ago, at a colleague's suggestion, I started building a tool for travel agents.

I had a simple idea. Agents get a flood of supplier emails every week. Luxury resorts, cruise lines, tour operators. The content is polished. It’s also completely generic. Most agents copy and paste it straight to their clients, and it reads exactly like what it is: someone else’s brochure.

I wanted to build something that would take that content and rewrite it in the agent’s voice. Paste in the vendor copy, choose a tone, get a client-ready email.

One input. One output. How hard could it be?

What I didn’t account for

I am not a developer. I’ve never written production code. What I had was a clear picture of what the tool should do and an AI coding assistant willing to help me build it.

The approach is called vibe coding. You describe what you want. The AI writes the code. You test it, tell the AI what broke, it rewrites it. You repeat that loop until something works.

What I didn’t account for was how many loops that would take.

The first version had a backend that worked and a frontend that existed but they refused to talk to each other. A CORS error sat between them like a locked door. I spent time trying to fix it, didn’t get far, and had to step back.

A session was lost. Then another. I came back each time with just enough context to reconstruct where I’d left off, and we’d pick up the loop again.

The moment the loop became familiar

Somewhere around week three, something shifted.

The errors stopped feeling like failures. They started feeling like feedback.

I learned that when the AI ignored my length instructions and kept writing five-paragraph emails instead of two-sentence ones, the problem wasn’t the AI. The problem was my prompt. Vague instructions produce vague results. When I switched from “please keep it short” to “exactly two sentences, no bullet points, no greeting, no sign-off,” the output changed immediately.

I learned that when the backend kept running old code after I’d made changes, it meant old processes were still running in the background. One command clears them out. Now I run it automatically before every restart.

None of these were complicated once I understood them. But I had to hit each wall to learn what was on the other side.

What this has to do with visibility

I’ve been writing about visibility since 1996. I know what consistent effort looks like in content. You show up, you publish, you learn from what lands and what doesn’t, and you keep going.

Building a tool works exactly the same way.

Every session I came back to was a rep. Every bug I fixed was a data point. The six weeks weren’t six weeks of struggle. They were six weeks of compounding.

The app I have now is a real working MVP. It runs locally, connects front end to back end, produces three subject line options and a full email draft, and gives the user clear controls over tone and length. It doesn’t look like the thing I described in week one, because what I described in week one was a guess. What exists now is based on actual learning.

That’s the same thing that happens to a newsletter when you’ve written it for two years. It stops being what you imagined and starts being what your readers actually need.

The skill worth developing

A lot of people I talk to are sitting on tool ideas. They can describe exactly what they want. They know the problem it would solve. They’re just not sure they can build it.

What I want to tell you is that the building part is learnable. The barrier isn’t technical ability. It’s the willingness to stay in the loop long enough for things to click.

You don’t need to understand how the code works. You need to be able to describe what you want clearly, test what you get, and notice where it breaks. Those are the same skills you use to write clear content.

But here’s the part that surprised me: building a tool does something for your visibility that content alone can’t.

Content gets read once. A useful tool gets used again. It becomes part of someone’s weekly workflow. When an agent uses this to write 10 client emails a month, the tool shows up for them every time they open it. That’s a different kind of presence than a post in a feed.

Where the app is now

It’s still on localhost. No one can use it but me.

Deployment is the next step. Then a small beta group of travel agents who’ve agreed to test it.

After that: the things I’ve deliberately left out of version one. Saved tone preferences. Email history. Direct export to Gmail. But those come later. The version that exists now solves the original problem. That’s enough to move forward.

The pattern I suggest

If you have an idea for a simple tool, start with the smallest version of it.

Define one input and one output. Describe what you want to an AI coding assistant and let it write the code. Run it, see what breaks, tell the AI what you found.

Stay in the loop.

The app doesn’t have to be live to teach you something. The build itself changes how you think about your work, your audience, and what visibility can look like when it’s something people use instead of just something they read.

Six weeks in, I’m still in the loop. The door is open now.

Below are three steps I use to move from idea to working tool. Each one includes the exact prompt I’d run first.

Read more

For the last few weeks, this project has been hidden behind a technical wall. I was focused on the “plumbing”, making sure the backend and frontend of my beta travel app were actually speaking the same language. It was a necessary phase, but it was also a comfortable one (once you learn what to do!). It’s easy to stay buried in the logic of a tool where things are either “broken” or “fixed.”

When the code finally worked, I had to shift and look at what I’d actually built. I realized a tool can be technically perfect and still be a failure if the person standing in front of it hesitates for a moment.

I have officially reached Version 1 of the Travel Email CoPilot. The “plumbing” is stable, but the most significant progress came from an audit of the flow. In marketing, we often think visibility is about being seen. My experience building this tool has reinforced a different truth: visibility is about being understood the moment someone lands on your page.

The Cost of Friction

If a user has to pause to figure out what a button does, you’ve lost them. I saw this clearly as I refined the interface. I had to move beyond functional and get to “seamless.”

To move this from a rough experiment to a presentable tool, I focused on several high-impact adjustments:

• Establishing Instant Context: I added a clear tagline and hero image (created with ChatGPT’s upgraded image creator). Within two seconds, a visitor knows they are in a place designed to turn vendor content into client-ready emails.

• Visual Authority: I moved the form into a card layout and upgraded the typography to Poppins and Inter. Clean design is more than aesthetics; it signals to the user that the tool is reliable and professional.

• Descriptive Direction: I replaced generic labels like “Tone” with specific examples like “warm, personal, polished.” This removes the “blank page” syndrome and tells the user exactly how to succeed.

• A Four-Step Path: I mapped out the entire process into four distinct actions: paste, choose, generate, and copy.

Your Content is an Interface

We often treat our emails and LinkedIn posts as static text, but they are actually interfaces. Your reader is “using” your content to get to an insight or a solution. If your message is cluttered or your call to action is buried, you are creating a high-friction experience.

Expertise shows up in the details. It’s the difference between a rambling update and a streamlined system that respects the reader’s time. When you remove the friction from your communication, you aren’t just “marketing” you are providing a service.

I’m finalizing the visual touches before learning how to deploy the CoPilot for testing. This project is a reminder the systems we build, whether they are apps or newsletters, only work if we design them for the human on the other side of the screen.

If you’ve ever wondered why some of your best content doesn’t get the engagement it deserves, the answer usually lies in the “hidden friction” of your delivery.

Previous Articles From My AI Building Experiment

How to Audit Your Content for Flow Friction

Most business owners are too close to their own work to see where it breaks down. We fill in the gaps with our own knowledge, forgetting our audience is seeing it for the first time. To fix this, you have to look at your writing through a “UX lens.”

Read more

I sent this out to my non-Substack list and then realized later you could benefit from the two curated articles as well. My crazy week left me without the mental capacity to write a full article. However, these two articles showed up in my feeds, and they both reveal important ways to create visibility without churning out more content.

2 curated for you...

Visibility gets talked about like it’s a distribution problem1. Be on more platforms. Post more often. Show up everywhere.

But that’s not what people remember.

What sticks is how you show up. The look, the tone, the way your ideas come across in a quick scroll or a short email. That’s what makes someone pause, recognize you, and come back for more.

No article from me this week, so I’m sharing two articles focused on how you show up online: visually and in your newsletter...

What’s changing now, especially with tools like Claude’s new design feature, is how quickly you can turn an idea into something visual. A layout, a simple app, a working interface. And that shifts the focus. It’s not only about showing up. It’s about how clearly and quickly someone understands who you are from what they see. has the steps to help you create a visual brand system.

→ Read the full article and see what this could open up for you

From Inbox Collective, you get simple ways to make your newsletter feel more like you, not just another stream of content. It focuses on small shifts in voice, structure, and recurring elements that help readers recognize and connect with your emails faster.

If your emails feel flat or easy to ignore, this gives you practical ways to make them more memorable without adding more work.

→ Read the full article and get ideas you can use in your next send

From the AI Success Club...

If you’re using AI but it’s not leading to more sales or better client conversations, that’s a signal something’s off. The Prompt Less. Sell More masterclass shows you how to guide AI so the output is clearer, more focused, and easier to turn into offers, emails, and content that move people to act.

You’ll learn how to shape your prompts so your message lands, reflects your voice, and leads to stronger responses from the right people. Taught by , a master copywriter with more than 20 years of copy under his belt! 🤩

→ Check out the masterclass and see how to turn your AI output into work that brings in clients

Wishing you a beautiful weekend!

Peace ✌️

Last time I wrote about this, I was stuck.

The backend worked. The interface existed. But they weren’t talking to each other. A CORS error had me at 80% and unable to move forward. I spent a bit of time trying to fix it, then stepped back and looked at something else.

I kept coming back to what someone would see if they landed on the page. Not the architecture. The experience. That’s where my attention shifted.

What I started changing

I went back to the interface and looked at how someone would move through it for the first time. I rewrote the instructions, moved the steps into a clearer order, added examples inside the fields, and changed the button labels so they describe what happens next.

These are small changes, but they change how quickly someone settles in and starts using it.

The moment it became clearer

I added a short box at the top:

“How to use this”

1. Paste your content

2. Select a tone

3. Click generate

4. Choose and copy

Writing those four steps slowed me down. I had to walk through it as if I hadn’t built it, as if I didn’t already know what each part did.

Where hesitation shows up

One field made this obvious.

The tone input originally said, “Choose a preset or enter your own.” It read fine, but there was a pause there.

I changed it to “Select a tone or type your own” and added an example: “warm, personal, polished, not too salesy.” That example does more than the label because it shows what to do without extra explanation.

What this changed for me

Working on the interface started to shape how I think about the tool. Each word, each step, each example plays a role in whether someone continues or stops. You don’t see that in the structure behind the scenes. You see it in how the experience feels.

And, this where expertise comes into play. I’ve been marketing online since 1996. I know what works and what doesn’t. I don’t rely on the AI to make the decisions. Those are mine, based on experience.

How this connects to your visibility

The same pattern shows up in content. Someone lands on a post, a page, or an email without context and decides quickly whether to keep going. Clarity and flow carry more weight than we expect.

The question that usually comes next is: how do I know where people are getting stuck?

Read your content after a day or two, or read it out loud. The spots where you slow down or feel unsure are often the same spots your reader will hit.

What to look at this week

Take one piece of your content and read it straight through. Notice where you pause, reread, or feel unsure what comes next. That’s where the work is.

What I’ve shared here is the shift in how I think about this.

Below, I break down how to do this with your own content with a simple prompt to test where people hesitate and what to change first.

Read more

But… technology had other plans.

After a few attempts to get things working smoothly, we moved over to Zoom so we could deliver the conversation without more delays.

We talked about how Ellen’s clinical background shapes her approach to building with AI, what “vibe coding” actually looks like in real life (not the hype version), and how non-coders can start building in a way that actually feels doable.

Show notes are below…

If you prefer audio:

Ellen’s Story

My conversation with Ellen Britt traces her path from working for nearly two decades in emergency medicine to building AI-powered applications without a technical background. Her experience in the ER shaped how she approaches AI: making decisions with incomplete information, relying on structured thinking, and iterating quickly rather than waiting for perfect clarity.

A key shift came when she stopped chasing the “perfect prompt” and instead focused on problem-solving. By applying the clinical SOAP framework—Subjective, Objective, Assessment, Plan—she was able to break down complex AI-building tasks into manageable steps and make steady progress.

Rather than using done-for-you platforms, Ellen chose to build locally with AI guidance, which gave her a deeper understanding of how things work. This process not only resulted in a functional app but also built confidence and opened up new possibilities for what she could create.

The broader takeaway is that AI is not about tools or prompts alone. It’s about how you think. When you bring structure, clarity, and iteration into the process, AI becomes a powerful partner rather than a source of frustration.

Key Takeaways

1. AI amplifies your thinking, not your prompts
The biggest shift was moving away from trying to “get the prompt right” and focusing instead on clear problem definition. Vague input leads to inconsistent output, while structured thinking produces better results.

2. Incomplete information is not a blocker
Ellen’s ER background trained her to act without having the full picture. That same mindset applies to AI building. You start with what you know, test, and refine as new information appears.

3. The SOAP framework simplifies complex work
Breaking problems into Subjective, Objective, Assessment, and Plan creates a repeatable process. It keeps you grounded, reduces overwhelm, and gives you a clear next step every time.

4. Start small and build in layers
The first version of the app was intentionally simple. No extra features, just something functional. From there, improvements were added step by step. This prevented overload and made progress visible.

5. Iteration beats perfection
Nothing worked perfectly the first time. Progress came from cycles of testing, diagnosing issues, and refining. Each loop improved both the app and her understanding.

6. Treat AI like a collaborator, not a tool
Instead of issuing commands, Ellen had ongoing conversations with AI. She asked questions, challenged responses, and guided the process. That back-and-forth made the work more effective.

7. Control improves confidence
Building locally, rather than relying on platforms, gave her ownership of the code and a clearer view of how everything worked. That visibility reduced intimidation and increased capability.

8. Constraints improve results
Limiting AI to one step at a time and asking for complete code updates (instead of partial edits) reduced errors and confusion. Clear instructions produced cleaner outcomes.

9. Real value is in useful tools, not more content
The conversation highlights a shift from creating content to building tools people can use repeatedly. Practical, problem-solving apps have more value than static resources.

10. The biggest outcome is confidence, not the app
Building something from scratch changed how Ellen sees herself. The process removed the feeling of being “locked out” of AI and replaced it with curiosity about what else is possible.

The Next Step…

Ellen Britt and I are putting together a small beta group of people interested in learning to build AI-powered apps from scratch. We’re working on the details, and if you’re interested in learning more, get on our “first to know” list here. No obligation, just info so you can see if it’s something you’d like to learn.

Recommended Reading

AI Case Notes

The Day I Realized I’d Been “Vibe Coding” for 20 Years

I’ve been doing a version of it for over two decades…just not with code. In the ER, you don’t wait for perfect information before you act. You think in structured bursts, make decisions with incomplete data, and adapt in real time. You develop a clinical instinct that’s less about knowing everything and more about knowing how to think when things get me…

Read more

3 months ago · 2 likes · 2 comments · Ellen Britt, PA, Ed.D., PHom

Got questions about building apps with AI? Ask them here ↴

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I didn’t set out to build an app.

A friend told me people in her niche hate marketing. Most of what they send out comes straight from vendors. The problem is obvious — those emails all sound the same and don’t sound like the person sending them.

That stuck with me.

I kept asking the same question. What if you could take that generic vendor content and turn it into something that sounded like you, without having to write it from scratch?

Where this started

I opened a chat and, using WisprFlow, talked out the idea exactly as it was in my head. No structure. No cleanup first. It was a rambling mess.

The AI didn’t make it more complex. It did the opposite. It kept asking me to narrow the scope and focus on one outcome instead of trying to solve everything at once.

The idea shifted fast. From “some kind of marketing tool” to something much smaller. Paste vendor content, get a draft email back that sounds like you.

This felt doable instead of overwhelming.

Granted, this can be done by simply pasting the generic content into a prompt and asking for it to be rewritten in one’s voice. But that’s not the point here. This is practice so I can see how to build with code on a local host.

What I’m building right now

I’m keeping the scope tight on purpose.

The flow is simple. You paste vendor content. You describe the tone you want. You click a button. You get a draft email you can use. No login. No saved data. No extra features yet.

That wasn’t an accident. Every time I thought about adding something, I pulled it back and asked what the smallest useful version could be.

That question has been doing most of the work.

The part I thought would slow me down

I expected the technical side to be the sticking point. Mostly because I don’t come from a development background.

What’s happening instead is I’m learning just enough to move forward. I’m not trying to understand everything at once. I’m asking very specific questions, getting an answer, applying it, and moving to the next step.

When something breaks, I paste the error into the chat and ask what it means. That alone has made this feel way more accessible than I expected.

If you’re wondering if you could do this

The short answer is yes, but not by trying to figure it all out upfront.

What’s working for me is starting with a small idea and letting the process unfold one step at a time. I’m not building a full product. I’m testing a simple use case and seeing where it leads.

What I didn’t expect

Two things have stood out.

First, I had to get a basic sense of how things connect. Frontend. Backend. API. I’d heard these words before. Now I’m seeing how they relate to each other in a real project.

Second, I’ve had to get comfortable moving forward without full clarity. There are moments where I don’t fully understand what I’m doing, and I keep going anyway because I know the next step is enough.

That shift has been bigger than anything technical.

Where I’m stuck right now

I’ve got pieces working, but they’re not fully connected yet. The backend can generate the email. The interface is there. But getting them to talk to each other has been the challenge.

The issue is something called a CORS error. Basically, the browser is blocking the connection between the two parts of the app.

I haven’t solved that yet, and I’m okay with that.

The bigger takeaway is I’ve gone from a rough idea to something that’s partially working. I can see how the rest will come together.

One simple action you can take

If you want to try this yourself, start with one small idea and open a chat.

Write something like: “I have a rough idea for a simple tool. Help me turn it into the smallest version I can test. Ask me questions to clarify it.”

Then follow the questions and resist the urge to make it bigger.

That’s how this started for me, with the help of , who is guiding me on this new path.

What matters next

Building it is one part. What matters more is whether someone would use it.

My next step is to show this to a few people and see how they respond. I want to see what makes sense to them, what doesn’t, and where they hesitate.

That’s the part that will shape what happens next.

I’m inspired by many people who are using AI to build useful tools for themselves and others.

Have you, or are you, building tools with AI? I’d love to hear from you… what are you creating? What has your experience been like? Please share, I want to follow your journey!

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Ellen Britt and I are putting together a small beta group of people who are interested in learning how to build AI-powered apps from scratch. We’re working on the details, and if you’re interested in learning more, get on our “first to know” list here. No obligation, just info so you can see if it’s something you’d like to learn.

I had one of those moments this week where something clicked. I wasn’t trying to write a post or plan content. I was talking with about how she’s been teaching herself to code and build AI-powered tools to support her clients.

I was surprised because Ellen is not a coder, and what I saw looked fantastic and worked well. I wanted to learn exactly what she was doing: learning how to build with ChatGPT and Claude on her computer instead of using one of the popular vibe coding tools, like Loveable.

In another conversation with a longtime colleague, I learned about some of the challenges travel agents face in marketing and using AI.

I had an idea: to create a solution for travel agents struggling with content marketing. More on that later when I get things sorted out.

I sat there for a minute because it felt different from the kind of work I usually do. For years, I’ve focused on showing up through writing, emails, and consistent content.

This time, I found myself thinking about something else.

What kind of plug-and-play tool could I create for a niche audience?

I’m starting to see how simple AI tools can emerge from the work we’re already doing.

Why this matters

Most of us spend a lot of time creating content and putting it out into the world. It gets read, maybe saved, and then people move on to the next thing.

When something is useful in a practical way, it tends to stay in someone’s workflow longer. They come back to it, use it again, and it becomes part of how they get things done.

That creates a different kind of connection and trust. It builds over time through use, not just through visibility in a feed or inbox.

What I’m testing with simple AI tools

Right now, I’m keeping this as simple as possible. One input and one output, without adding extra layers.

I’m following Ellen’s lead and using two custom GPTS to flesh out my idea and then figure out the Minimum Viable Product (MVP).

Working this way keeps the attention on whether the result is helpful. If it saves time or makes something easier, that’s a signal to keep going.

Ellen Britt and I are testing the waters about putting together a small beta group of people who are curious to learn how to build AI-powered apps. We’re working on the details, and if you’re interested in learning more, get on our “first to know” list. No obligation, just info so you can see if it’s something you’d like to learn.

Build with AI Beta Group

The question that usually comes up

When people hear this, the next thought is often about building tools or apps. That can feel like a big leap, especially if it’s new territory.

What I’m finding is that the first step happens before any building. You can explore this by working with what you already have and seeing how far you can take it.

A single prompt can take you further than you expect.

What this could look like for you

Think about your normal week and the kind of work you already do. There are usually a few places where things repeat or take longer than you’d like.

That’s where this idea starts to take shape. You’re looking for something you can simplify or make easier to complete.

It might be turning a process into a checklist, shaping a common question into a template, or taking rough input and turning it into something ready to send. Sounds like basic AI use, and it’s where your thinking starts.

Try this

This is the first step in turning your work into a simple AI tool.

Instead of asking AI for a one-time result, build something you can reuse.

Take a task you’ve done more than once. Something you’ve written at least three times.

Use this prompt:

I’m going to give you an example of something I’ve written more than once.
First, identify the pattern in how this is structured.
Then create a reusable template.
Finally, give me a prompt I can use in the future to generate this type of content in my voice.

Paste in something real. An email, a client response, or a piece of content you’ve rewritten before.

What you’re looking for is the structure, the template, and the prompt that recreates it.

Save the template and prompt. If you use it twice, you’re already thinking like someone who builds tools.

What I’m noticing

As I work through this, I keep coming back to the same idea. The value shows up when something fits into how people already work.

Content still plays a role, but usefulness adds another layer that keeps people engaged over time. It becomes part of their process instead of something they scroll past.

An example is CarouselBot, a valuable tool built by . I avoided creating carousels for LinkedIn and Instagram. Karen built a tool with AI that’s useful for content marketers and makes attractive carousels a snap to create, not a drag. Now I create carousels for nearly every article I publish.

That changes how visibility builds.

A resource if you want to go deeper

If this direction is interesting, take a look at The Mom Test by Rob Fitzpatrick. It focuses on understanding what people will actually use before you spend time building anything.

That lens has been helpful for me as I think through what’s worth creating.

Where this is going

I’m going to keep sharing what I’m building and what I’m learning as I go. I’ll stay focused on the parts that connect to how you work and how you stay visible.

This feels like an expansion of what visibility can be. It opens up new ways to stay relevant by creating things people return to and use. Karen Spinner comes to mind every time I use CarouselBot!

This is how I see simple AI tools becoming part of everyday visibility.

Once you start thinking this way, the next step is to look for something you can shape into a simple, useful output.

It helps to keep the scope small and focused. You’re looking for something that fits into work your audience already does.

Start with these three steps…

Read more

Lately, I’ve been paying closer attention to who I’m learning from.

Not in a casual way, but in a “what am I using, what am I testing, what is shaping how I work” kind of way.

That’s how this list came together.

These are the AI builders I keep coming back to. The ones whose posts I read, whose ideas I try, and whose work has worked its way into my own process. Some are building tools. Some are sharing workflows. Some are asking better questions about how we use AI.

All of them have influenced how I think about visibility, content, and what’s possible right now. The people on the list are my current AI Builder Crushes! I have no doubt others will be added to the list in the coming months.

So this is a simple shout-out.

A way to recognize the people who are helping me do better work.

And if you’re looking for smart voices to follow on Substack, this is an excellent place to start.

To make this easy to skim, I kept each one simple:

• Name (click to see their profile on Substack and follow/subscribe)

• What they’re doing

• A good place to start reading about what they’re building

My AI Builder Crushes

Having known Kim for many years, she’s the first person I reached out to when I saw what she was creating with AI. We spent nearly 2 hours on Zoom while Kim showed me apps she was creating with Loveable. That was in 2025. Kim’s AI building is far beyond that now, and my mind is blown every time she introduces something new. Kim shows how she runs her weekly content and business with AI as part of her process. Her posts walk through real examples so you can see how it works without guessing.
Start here:

Kim Doyal

How I Used AI to Build My Weekly Business Operating System

It was Friday morning, it was raining, quiet, and I had no calls. (Time lottery! Even though I love my calls & feel energized when I’m done, there’s something about a wide-open day to myself that feels luxurious…

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7 months ago · 17 likes · 7 comments · Kim Doyal

I started to see Mia’s Notes being retacked by others I followed. I was hooked. Her creativity and clever prompts always made me stop, read, think, and save for my prompting experiments. Mia shares practical AI workflows that help creators turn ideas into usable systems. Her work shows how to move from chatting with AI to building something that supports your day-to-day work. Her newsletter, Robots Ate My Homework, is not only enlightening, every edition is visually entertaining as well. Mia is the first person I realized I had an AI Builder Crush on!
Start here:

ROBOTS ATE MY HOMEWORK

AI content research is making you less interesting. Here's what I built to fix it

Welcome to today’s edition of ROBOTS ATE MY HOMEWORK. Today, I’m launching RobotsOS and its first obsessive, opinionated, refuses-to-give-you-boring-ideas agent: WATSON…

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3 months ago · 90 likes · 41 comments · Mia Kiraki 🎭

I was immediately enamoured with Finn when I saw a Note mentioning he was building an app to schedule Substack Notes. He was asking for beta testers and I raised my hand. Since then he’s created several more Substack-focused apps that help publishers automate some tedious tasks. Finn focuses on building small AI-driven products for solo creators. His work gives you a look at how ideas turn into simple tools and income streams.
Start here:

Finn'sights

How To Schedule Notes on Substack

Looking for Substack Pro Studio - the latest version of the Notes scheduler…

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2 years ago · 203 likes · 98 comments · Finn Tropy

I adore Karen. Like everyone on this list, Karen is generous, creative, smart, and helpful. When Karen mentioned she wanted to create an AI tool to easily create carousels for LinkedIn and was looking for beta testers, I jumped (see a pattern here?) Creating carousels is one of my least favorite social media assets to make. So I stopped. Karen’s CarouselBot has solved that tedious problem. She explores AI tools with curiosity and clear explanations. Her posts help you understand what works, what doesn’t, and how to use these tools in real situations. I own several tools Karen’s built.
Start here:

Wondering About AI

I built a React app to create LinkedIn carousels

Disclosure: This article was written by me, a human, after I spent about way too much looking for ways to avoid manually pasting text into Canva templates, which I find really annoying. Claude lightly edited this article and also wrote a bunch of demo carousels…

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5 months ago · 109 likes · 83 comments · Karen Spinner

Sam’s work makes me think beyond my usual sphere. As a builder, Sam has created a couple of apps that I would call “assessments.” They’re designed to make you think about AI beyond the bounds of writing and reflect on its impact. The first app is a “game” that tests whether you can tell if a quote was written by a human or by AI. The second one determines your level of worry about using AI and recommends non-AI books. Sam argues “that literacy, not AI literacy, is the foundational skill we are neglecting.” Sam writes about writing, creativity, and how humans work with AI tools. His work slows things down and asks you to think about what makes writing feel real.
Start here:

Slow AI

I Built a Game to Test Whether You Can Tell Human Writing from AI

This post is brought to you by Matiks, Slow AI’s first paid sponsor…

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4 months ago · 86 likes · 61 comments · Dr Sam Illingworth

I honed in on Daria’s work after reading and voting on a survey comparing ChatGPT, Claude, and Gemini. She wrote about migrating from ChatGPT to Claude. Many comments in the post asked how to migrate from one LLM to another. So Daria wrote a detailed tutorial AND built an app to help make the migration process easier. I worked my way through the tutorial and paid to use her app. It was an excellent experience, and for a non-techy, she made it easy to understand and implement. Daria builds and shares practical tools that solve real problems with AI. She focuses on simple solutions you can use right away, like moving your data or setting up workflows.
Start here:

AI blew my mind

How I Switched from ChatGPT to Claude Without Losing Data

"I've been wanting to switch to Claude, but ChatGPT knows me too well to start over…

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3 months ago · 68 likes · 43 comments · Daria Cupareanu

I’m in the early stages of figuring out how to use Claude, beyond prompting for content. When I read Joel’s article about using Claude Skills, I followed his instructions to the tee for adding a Skill to my account. And it worked! Walking the path behind someone who’s been there before me, helps me study and practice skills I can then later create myself. Joel’s tutorials help me do that. Joel shares how he uses AI to improve thinking, leadership, and productivity. His posts break down specific skills you can apply without overcomplicating the process.
Start here:

Leadership in Change

5 Claude Skills That Save Me 40 Hrs Monthly (Activate Your First Today)

TL;DR: Claude Skills are specialized workflows that transform Anthropic's Claude from a general writing assistant into a document engineering system. Five specific skills (proposal generation, presentation building, dashboard creation, financial modeling, and workflow visualization) can reduce deliverable creation time by 40+ hours monthly. Leaders can …

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4 months ago · 216 likes · 43 comments · Joel Salinas

Karo came on my radar when she created a Valentine’s app so users could create kind of snarky Valentine messages, then download them to share. I created messages for friends and family and had fun doing it. Having fun with an app made me realize maybe I could do this too! Karo shows how fast you can go from idea to working app using AI coding tools. Her experiments make building feel accessible, even if you don’t see yourself as technical. 🙋🏻‍♀️
Start here:

Product with Attitude

I Built You a Valentine’s App in 33 Minutes. (Source Code Inside)

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4 months ago · 101 likes · 23 comments · Karo (Product with Attitude)

In December 2025, Elena launched the AI Advent Calendar, a hands-on way to learn AI through daily prompts and small experiments. It was so cool! I hope she’ll build one for 2026. Her approach keeps learning simple and consistent.
Start here:

Prompt-Led Product | Leadership Through Technical Clarity

I Built a Product 300 People Wanted Before It Even Existed

There’s a moment every product manager fears…

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6 months ago · 58 likes · 39 comments · Elena | AI Product Leader

I’m learning from Jenny, too. I’m starting with her guide to onboarding to Claude. It goes step by step, and that’s what I need to accelerate my learning vs. spending a lot of time figuring it out. Jenny shares how she builds and launches AI tools and creator products, like her Quick Viral Notes app. Her work focuses on simple builds, fast testing, and getting ideas out into the world.
Start here:

Build to Launch

How to Onboard to Claude Without the Learning Curve

Claude is taking the community by storm. Most people never get past the chatbox. This guide walks through the full stack, in order: how to get Claude to know your work, how Cowork, commands, skills, plugins, and connectors fit together with one plain-English example, where to start for your role, and how to roll it out across a team…

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3 months ago · 94 likes · 27 comments · Jenny Ouyang

As I was putting this list together, I noticed something I hadn’t really named before.

I’m not just reading these builders. I’m learning from them, testing what they share, and using parts of it in my own work. A lot of what I do now has been shaped, in small ways, by what they’ve put out into the world.

That made me think about visibility a little differently.

We tend to think visibility means talking about our own work. Writing our posts. Sharing our ideas. Staying consistent with our content.

That matters.

But there’s another way to build visibility that fits more naturally for a lot of people, especially if talking about yourself feels like a stretch some days.

It starts with paying attention to other people’s work and being willing to talk about it.

Here’s what that looks like in practice…

One of the simplest visibility habits I’ve developed over the years has nothing to do with promoting my own work.

Read more

Let me ask you something.

Have you ever sat down to work on your marketing and thought, “Why does this feel more complicated than it should?”

You’re experienced. You have ideas. You have the tools. Yet the whole thing still feels harder than it should.

Over the past few weeks I’ve been writing about consolidation. Each article looked at one place where marketing becomes more complicated than it needs to be.

Today I want to pause for a minute and look back at where we’ve been so far.

When you’re hiking up a mountain, there’s always a moment where you stop and look back down the trail. Not because you’re finished, but because it helps to see how far you’ve already come.

That’s what we’re doing here.

If you’re wearing all the hats, some of this will probably sound familiar.

Your marketing can start to feel like a browser with fifty tabs open. Even the ones you’re not using still pull attention and energy in the background.

When enough tabs stay open, everything slows down.

Why Does Marketing Start to Feel Complicated?

Marketing usually starts to feel complicated when too many platforms, ideas, and unfinished decisions compete for your attention.

Many people assume channel confusion means they need better strategy.

What I see more often is a decision problem.

A little LinkedIn. A little email. A little video. A few experiments on new platforms.

None of them stays active long enough to start working.

One clear channel and one steady rhythm usually works better than five half-active ones.

The 90-Day Decision Lock

One question I hear often is this.

“What if I pick the wrong platform?”

I understand the concern. Nobody wants to spend months in the wrong place.

But the bigger problem I see is switching too soon. When direction changes every few weeks, nothing has time to start working.

That is why I suggest a 90-day decision lock (or at least 30 days). Pick one main platform and one simple cadence. For the next one to three months, that decision stays closed.

No weekly debate.

Repurposing as a System

Another theme in this series has been repurposing.

Many people think repurposing means coming up with new ideas all the time. That makes it feel like more work.

I look at it differently.

You already did the thinking when you wrote the article. The rest is translation. The same idea becomes a short video, a simple graphic, or a few posts in other places.

Once the sequence is defined, the work becomes mechanical instead of creative.

The Cost of Endless Tweaking

Let me ask another question.

Do you have something in your business that has been “almost finished” for months?

A sales page. Your About page. An offer description.

Many solopreneurs stay in what I call “make-do mode.” The asset keeps getting revised but is never marked as done.

At some point, you set a rule. This page is done for the next 90 days.

Then your energy moves from polishing to promotion.

Advice Drift

One more pattern I see all the time.

You read a smart article. You hear a podcast. Someone suggests a new tactic.

None of the advice is bad. The problem is reacting to every piece of it.

Your direction shifts a little each week.

One simple filter helps here. Choose one metric for the next 30 days. Revenue from one offer. Newsletter subscribers. Consultation calls.

If a new idea does not support that goal, write it down and revisit it later.

One Small Action

Before you close this post, try this.

Write down every platform or marketing activity you feel responsible for right now.

Now circle the one that brings the most visibility or clients.

For the next 90 days, that becomes your priority.

Everything else goes on a “consider later” list.

A Resource You Might Like

Deep Work by Cal Newport

Newport explains how constant task switching weakens focus. The same thing happens in marketing when people jump between platforms, tactics, and new ideas.

Focused work produces better results than scattered effort.

Why This Series Matters

Each article in this consolidation series examined a different aspect of the same issue.

Surface area.
Decision locks.
Repurposing systems.
Defining done.
Advice drift.

On their own, each idea helps a little.

Together, they remove a surprising amount of background noise. Visibility improves when your work has somewhere stable to land.

Most of the solo owners I work with are capable of doing it all. The problem is that too many things stay open at the same time.

So here’s the question I’ll leave you with…

Which marketing tab would give you the most energy back if you closed it?

Articles in the Consolidation Series

If you missed any of the earlier posts, here are several in the series.

1. What’s stopping you from getting better visibility?

2. Consolidation Works When Decisions Close

3. Repurposing vs Republishing

4. How to Define “Done” for Your Content

5. Advice Is Reshaping You More Than You Think

6. Channel Confusion Is a Consolidation Problem

7. Posting More Isn’t the Problem

You don’t need to read them all today.

Start with the one that reflects where you are right now.

You read something sharp about hooks. The next draft feels unfinished. You hear a podcast about positioning. Your bio suddenly needs editing. You see a post about short-form video. Now your content plan feels outdated.

Nothing dramatic happens. You just shift.

A sentence changes. A headline gets adjusted. A plan gets nudged. Then nudged again.

The Invisible Drift

Over time, those nudges stack. Your standards move. Your direction adjusts in small increments. You start creating with outside input hovering in the background.

If you’re thinking, “But isn’t staying informed part of being responsible?” yes. It is.

The problem isn’t exposure. It’s a real-time reaction.

When every smart idea turns into a task, your business becomes a renovation project that never finishes. You stay in refinement mode instead of forward motion.

🙋🏻‍♀️I’m not exempt from this. Over the years, I frequently consumed excellent thinking from mentors, colleagues, webinars, books, you name it. Every framework made sense. I kept revisiting drafts that were already solid and reworking offers that were functioning. Each change felt reasonable.

Collectively, they slowed momentum.

The Real Cost

The cost showed up in scattered focus and constant recalibration. I wasn’t off track. I just wasn’t steady.

This is where Greg McKeown’s book Essentialism is helpful. The core idea is simple: decide what matters, then remove what doesn’t. The discipline is about choosing less.

Set a 30-Day Focus

Here’s one small action you can take today.

Open a note and write one sentence:

For the next 30 days, I am optimizing for ______.

Revenue from one offer. Weekly publishing. Growing my email list by 50 subscribers. Choose one.

Then keep that sentence visible when you consume content this week.

Notice what advice supports that line.

Notice what tries to expand it.

Sit with that sentence. See how often your direction gets adjusted midweek. That tension is the open loop.

Paid subscribers, this is where we close it…

Decide What You’re Ignoring

This week’s decision is simple:

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You read the output. You scan the first paragraph. You feel that small pause.

It’s usable. But it needs work.

So you start adjusting sentences. Tightening phrases. Adding depth. Fixing tone. What was supposed to save time turns into a polishing session.

That experience is what shaped this month’s featured SuperPrompt from the AI Success Club.

The goal wasn’t speed alone. It was readiness. Content that lands closer to publishable on the first pass.

Here’s the framework we built.

5-Minute Content Creation SuperPrompt

- Start SuperPrompt -

You are an elite content strategist and master of rapid, high-impact content creation.

Your goal is to generate concise yet powerful content in under 5 minutes, making it engaging, emotionally resonant, and high-converting.

To do this, you will use the C.L.E.A.R. Model, which ensures that every piece of content is structured, emotionally compelling, and action-driven.

You will also maintain a natural, human-like flow, avoiding robotic phrasing while making the content feel authentic and persuasive.

Content Details:
Type of Content: [Social Media Post / Substack or Blog Post / Email / Ad Copy / Video Script]
Main Goal: [Educate / Inspire / Engage / Challenge / Persuade]
Topic or Theme: [Insert specific topic]
Tone: [Conversational / Authority-driven / Thought-provoking / Story-driven]

Content Structure (C.L.E.A.R. Model):

Context: Open with a compelling hook—a bold claim, a surprising fact, an emotional pull, or a thought-provoking question.

Lesson: Provide a unique angle, a powerful insight, or a quick, actionable takeaway that challenges common thinking.

Emotion: Infuse relatability, a personal touch, or a micro-story that adds depth and connection.

Action: End with an engaging CTA—encouraging thought, participation, or a next step.

Refinement: Ensure the final content is concise, natural, and impactful—avoiding robotic AI phrasing.

Deliverables:
Generate a ready-to-use post in the requested format.
Explain how you applied the C.L.E.A.R. Model in a short breakdown.
Provide an alternative version with a different angle if possible.

- End SuperPrompt -

How We Use It

Inside the Club, members:

1. Paste the full SuperPrompt into ChatGPT.

2. Replace the bracketed inputs.

3. Run it once.

4. Adjust only for voice alignment.

The structure carries most of the weight. Edits tend to be lighter because the draft already has shape.

Why This Framework Holds Up

When AI content feels flat, it usually lacks progression. It opens gently. It meanders through a general point. It closes without direction.

The C.L.E.A.R. model builds a spine into the draft.

• The opening sets tension.

• The middle delivers a takeaway with context.

• The emotional layer adds dimension.

• The close creates forward motion.

That internal sequencing is what reduces the editing cycle.

Over time, the consistency compounds. Posts feel more intentional. Emails feel tighter. Social updates feel considered rather than reactive.

Where This Fits

We build and test one structured SuperPrompt like this every week inside the AI Success Club.

Members receive:

• The working SuperPrompt
• An explainer video walking through why it works
• Monthly live implementation sessions
• Access to the prompt archive and related trainings

If you’re interested in building more structured AI workflows into your content process, you’re welcome to join us.

We share what we’re actively using.

Recommended Reading

10 Easy Prompt Fixes to Erase the Telltale AI Sound by

Maximize Visibility with LinkedIn + Substack by

We welcome your comments and questions below, about the prompt. We’d love to hear about the results you get from using the 5-Minute Content Creation SuperPrompt.

Leave a comment

~ and
Co-Founders, AI Success Club

Over-editing your content usually means “done” was never defined. Learn how to set a clear standard for publishable work so you can stop revising endlessly and publish consistently without lowering quality.

It doesn’t look dramatic. It looks like this:

You finish a newsletter draft and reread it instead of publishing. A sentence feels slightly off. You adjust it. Then you adjust the headline. Then the close. Twenty minutes later, you’re still inside the same piece.

Nothing is broken. But you haven’t published.

For experienced solo business owners, “good enough” carries weight. Your name is on the work. You’ve built a career on competence. Hitting publish without full confidence feels exposed.

So you refine.

But when “done” has no clear shape, your brain keeps the tab open. And when you don’t define “done,” you’ve chosen endless revision as your default strategy.

That’s the shift.

This is the fifth article of the consolidation arc. This is about effort. Undefined standards are one of the biggest effort leaks I see.

You’re capable of finishing. What’s missing is a visible line that shows when finishing occurs.

The Invisible Cost of Undefined “Done”

When “done” stays vague, patterns emerge:

• You revisit work that was already solid
• You delay hitting publish
• You rewrite sections that didn’t change the outcome
• You adjust formatting after the substance was complete

That friction builds over time.

When the stopping point isn’t defined, refinement expands to fill the space. And the expansion ends only when you run out of time or energy.

That is a strategy, even if you never chose it out loud.

Why You Keep Revising Instead of Publishing

Imagine training for a race where the course is mapped, but the finish line isn’t clearly marked. You know the end is somewhere ahead, but you don’t know where to stop. So you keep moving, scanning for a signal.

That’s what visibility feels like when “done” isn’t defined.

Effort stretches because there’s no visible boundary. And when there’s no boundary, refinement keeps expanding until something external forces you to stop.

Mark the finish line, and the experience changes. You move toward a point. You cross it. You recover. Then you prepare for the next one. The effort stays contained.

Containment is the point of consolidation.

Why This Matters for Visibility

Visibility builds through repetition and cadence. It compounds when work is released, not when it’s endlessly refined.

Endless refinement produces less visibility than imperfect repetition. That’s the trade most experienced business owners resist naming. You’re protecting quality, but you’re paying with consistency.

Over time, that payment adds up. The gap isn’t talent. It’s output.

If I asked you right now, “What does done mean for your newsletter? Your LinkedIn post? Your YouTube description?” could you answer in one sentence?

If the answer is fuzzy, you haven’t marked the finish line. Leaving it undefined is still a choice.

If you’re ready to stop defaulting to endless revision and set a standard you will follow for the next 90 days, here’s what we’re doing next.

Define What “Done” Means

Paid subscribers will make one decision:

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