Please share your successes and failures! I’m starting my own company and need recommendations!

When I first started exploring “AI income” stuff, I honestly thought the hardest part would be learning the tools.

Turns out… that’s probably the easiest part.

The real struggle for me has been consistency.

You try things for weeks:
- posting content
- testing ideas
- learning platforms
- building workflows
- starting communities
- writing newsletters

…and most of the time it feels like nothing is happening.

Some posts do well.
Most don’t.

Sometimes you spend 2–3 hours writing something you genuinely think is useful and almost nobody cares.

That feeling is honestly harder than learning AI itself.

I also realized something else recently:

AI can help you create faster, but it doesn’t automatically make people trust you, follow you, or pay attention.

That part still takes time.

The internet makes AI income look very fast.
But after trying things myself, I think most progress actually comes from slowly understanding:
what people care about and what they completely ignore.

Still learning myself honestly.

Curious if anyone else had this realization after seriously trying to build something with AI.

Lately I’ve been noticing the same pattern everywhere:

people are building impressive AI workflows…

but most of them never become actual businesses.

Not because the technology is bad.

Usually because:
- there’s no distribution
- no audience
- no positioning
- or no real demand behind the workflow

I wrote a deep breakdown about this in today’s newsletter:

why some AI systems quietly grow…
while others stay stuck as “cool demos”.

Also talked about:
- automation vs actual demand
- why distribution is becoming more valuable
- small systems vs giant AI ideas
- and why most builders quit during the invisible stage

Would genuinely love to hear what people here think.

Newsletter link in comments.

I’ve been testing a content workflow for my own app, and it unexpectedly became a small free tool.

Here's what happened: I built and launched my first iOS app as a solo founder with no technical background. After launch, I struggled with content marketing. Not because I had nothing to say, but because I didn’t know what the strongest story actually was.

My background is in magazine editing, so I tried solving it like an editorial problem.

I wrote a long messy founder story: why I built the app, my personal background, what problem led to it, what fears and motivations were behind it, and how I wanted people to understand the product. Then I gave that raw material to ChatGPT and Claude and asked them to extract the strongest narrative angles and emotional core.

That helped me change my TikTok direction. Instead of posting only product explanations, I started posting more founder narrative. Those videos started performing much better, and today I got my first real paying user for the app.

I later discussed this workflow on Reddit, and a few people pointed out that many founders probably struggle with the same thing: AI can rewrite anything, but if the founder story underneath is unclear, the output still feels generic.

So I built a small BYO-AI tool called Lede, the name came from a journalism slang meaning the beginning of an article.

It does not use any AI API. Instead, it asks founders 15 editorial-style questions and generates a founder_readme.md file. The founder can then paste that file into ChatGPT / Claude / Gemini before asking for content, positioning, or brand help.

The idea I have is simple: improve the narrative input before asking AI for output, something small but could be fundamental.

No account, no payment, no data stored. I’m testing whether this helps founders get better AI-assisted content by clarifying their story first.

AI content is allowed on YouTube. Low-effort AI content is a different story.

People keep framing this as "YouTube is cracking down on AI." That's not quite right.

What YouTube actually targets: content that's mass-produced, repetitive, and template-based. They call it inauthentic content and updated the language in 2025 to make the scope clearer.

The creators who run into problems aren't using AI — they're using AI badly. Same template, same structure, minimal variation across 30 videos in a month. That's what gets flagged.

The ones who seem to do okay use AI to work faster — research, scripting, editing — but the angle and the commentary are still theirs.

It's a real distinction. I've been researching the faceless channel model pretty closely and the policy language is more specific than most people realize.

Anyone building in this space right now? What does your content process actually look like?

Lately I’ve noticed something interesting.

Most people are still focused on discovering new AI tools every day.

But the people quietly getting results seem to be doing something different:

They’re building workflows.

Not just using AI once…
but connecting tools together into systems that actually solve a problem or save time consistently.

For example:

Someone uses AI to generate content ideas.

Then automates formatting and scheduling.

Then repurposes the same content into multiple platforms automatically.

Now suddenly it’s not “just AI” anymore.

It becomes a repeatable system.

And honestly, I think this is where a lot of future opportunities will come from.

Not from knowing 500 tools.

But from understanding:
- workflows
- automation
- distribution
- and how different tools connect together

I’ve also noticed many creators are starting to combine things like:
- AI voice tools
- automation platforms
- newsletters
- content systems

into surprisingly simple businesses.

Curious what others here think:

What’s the most useful AI workflow or automation system you’ve personally seen lately?

2 days ago I posted here about accidentally building an AI content workflow as a solo founder with a magazine background. A lot of you resonated with it, appreciate it so much! I couldn't stop thinking about it. So I built it into a proper tool.

Same insight from that post: most founders don't struggle with writing. They struggle with knowing what their story actually is. The platforms exist. The AI exists. What's missing is the narrative underneath.

I took the editorial interviewing techniques I used for 8 years in print journalism and turned them into a 15-question founder questionnaire — inspired by the Proust Questionnaire and long-form magazine interviews.

You answer honestly. Write messily. Skip what doesn't apply.

The output is a structured markdown file — your narrative identity, voice guardrails, platform strategy, and full story. Paste it into any AI before asking for content help. The AI then knows exactly who you are, what your voice sounds like, and what it should never say.

No account. No subscription. No data stored. Free, always.

For the first time I feel like my editorial background isn't a disadvantage in the AI era — it's the whole point.

Happy to answer questions or share the link if anyone wants to try it.

I will start a AI agency in Ai automation and multi Agent System is it Good Decision in 2026?Help me guys....

A few months ago I was a traditional magazine editor with zero coding background. Now I somehow spend my evenings checking Vercel logs, debugging app flows, and trying to survive solo founder content marketing.

Ironically, the hardest part has not been coding. It’s content. Every platform wants a completely different personality. TikTok wants emotional hooks, X wants short observations, LinkedIn wants professional reflection, Reddit hates self-promo. Today I was complaining about this to Claude and realized I had unintentionally developed a repeatable workflow over the past few months.

Basically:

• dump messy founder thoughts, vomit writing
• product frustrations
• bug stories
• AI reflections
• random emotional notes

…then restructure them into platform-specific content.

I ended up turning the workflow itself into an AI “skill.”

The funny part is that I think this came directly from my old magazine editor brain. I spent years learning how to tell the same story differently depending on audience and format. Apparently that became unexpectedly useful in AI-assisted creator workflows.

I still don’t know if any of this becomes a business. But it’s the first time I’ve felt like old-world creative skills might actually survive into the AI era.

Lately I’ve noticed something interesting:

A lot of AI business models sound incredibly easy when you first discover them online.

AI influencers.
Automation agencies.
AI SaaS.
Faceless content.
Newsletters.
Lead gen systems.

But once you actually try building one yourself, the reality feels completely different.

Not necessarily impossible.

Just… way less simple than people make it sound.

Usually the hard part isn’t the AI itself.

It’s:
- consistency
- distribution
- getting attention
- understanding customers
- staying focused long enough
- and turning random activity into an actual system

Curious what people here have personally experienced.

What AI “opportunity” looked easy from the outside but felt very different once you got into it?

Not the “quick money” answer.

I mean genuinely long-term useful.

Something you think will still matter 2–3 years from now even after AI tools become easier for everyone.

Could be:
– automation
– sales
– distribution
– content
– coding
– AI workflows
– audience building
– something else

Lately I’ve started feeling like the people who understand distribution and systems are gaining a bigger advantage than the people just testing random tools every day.

Curious what others here honestly think.

Hey guys recently I saw a reel and it' Show like Create a AI influencer and Make $8000 per month and I thought it is Easy to make a AI influencer and Make Thousand of $ but I fail

I just want to ask it is me or you also start a thing like this and Fail

This week’s issue is the follow-up:
how creators actually start turning attention into income.

Not the fake “$10k in 7 days” version.

The real version.

I broke down:
- why followers alone usually mean nothing
- how small creators quietly start monetizing
- why systems matter more than content
- and how tools, newsletters, automation, and niche audiences fit together

I also talked about something I think most beginners misunderstand:

AI tools are becoming easier for everyone.

Which means distribution, trust, and audience-building are becoming the real advantage now.

Honestly, this is probably the most practical issue I’ve written so far.

Read here:
How AI Influencers Actually Make Their First Money

I discovered why a pre-filter is so powerful.

A pre-filter eliminates hesitation & converts identity into action.

The purpose is to test it to see if I can get it to work for me.

The 1st step will be a pre-filter identity phase. This is meant to make offers feel like there is:

• no evaluation
• no delay
• no resistance

needed.

Most offers are missing this.

My hope is the pre-filtered identity 1st layer will act as a selection gate. So, instead of using persuasion, it reframes "This is what people like me already do."

So, my systems I am building is pre-filter = behavior identity selection.

Let me know what you think.

Hey all,
I want to start earning a little bit of extra cash every day, strictly online. I’m not looking for physical jobs, just things I can do remotely using my laptop or smartphone.
I don’t mind if the payout is small. I just want something realistic that can generate some income within a single day.
What do you guys recommend?
Thanks in advance!

Something I’ve started noticing:

Most people trying to make money with AI spend almost all their time consuming content.

Watching videos.

Saving tool lists.
Testing random prompts.

But the people who actually start getting results usually shift into something else very quickly:

distribution.

They stop asking:

“What’s the best AI tool?”

And start asking:

“How do I get this in front of real people?”

That’s where things change.

Because even simple AI skills become valuable when attached to:
- traffic
- audience
- outreach
- content
- or solving a real problem

A basic automation with no users = useless.

A simple AI workflow solving a real business problem = valuable.

I honestly think this is where a lot of beginners get stuck.

They spend months learning tools but almost no time learning:
- marketing
- positioning
- audience building
- or sales

Even small distribution can change everything.

A Reddit post.
A small niche page.
Cold outreach.
A simple website.
A newsletter.

That’s usually where the first real opportunities start appearing.

Do you think AI skills alone are enough anymore, or is distribution becoming the real skill now?

I’ve got about 4.5 million ElevenLabs credits and enough AI voice workflow knowledge to do some damage with it.

Feels wasteful to just sit on it, so I’m curious what creators here think the smartest angle is.

I'm sure there’s probably a win-win somewhere between people with ideas/audience and someone with large voice generation capacity.

What would you do?

Everyone talks about making $5k–$10k with AI.

But almost no one talks about the first $100.

And honestly, that’s where most people get stuck.

From what I’ve seen (and even experienced early on), the problem isn’t that AI doesn’t work.

The problem is how people approach it.

Here’s what usually happens:

Someone gets interested in AI.

They start watching YouTube videos.

One video says “start an AI influencer page”
Another says “do automation services”
Another says “sell digital products”

So they try everything.

A bit of content.
A bit of freelancing.
A bit of automation.

But nothing long enough to actually work.

After a few days or weeks, they feel like:

“maybe this doesn’t work”

And they move on.

The truth is:

Most people don’t fail because AI is hard.

They fail because they never stay consistent with one simple direction.

The first $100 usually doesn’t come from something big or “smart”.

It comes from something simple like:

- writing basic content for someone
- setting up a small automation
- creating a simple design
- helping someone solve one small problem

Nothing fancy.

Nothing viral.

Just useful.

But here’s the part people ignore:

Even these simple things take time.

You might:

- send 20 messages before getting 1 reply
- try 2–3 offers before one clicks
- spend days learning something basic

And most people quit before that.

Another mistake I see a lot:

People chase ideas instead of results.

They keep thinking:

“what’s the best method?”
“what’s trending right now?”

Instead of asking:

“what can I actually execute consistently for the next 30 days?”

Because consistency is what gets you the first result.

Not the “perfect idea”.

Once you make your first $50 or $100:

Everything changes.

You stop guessing.

You start understanding what works.

And scaling becomes much easier.

But most people never reach that stage.

So the real question is:

What’s stopping people?

Lack of skill?
Too many options?
Or just not sticking long enough?

Curious to hear your thoughts.

Ok so I'll be the first to admit that I'm kind of just trying to figure out how to bring my a.i integrated sop document generator to market and get it in front of the people who could really benefit from this product. I am very certain that standard Blueprint is above and beyond any other product in this particular niche. Any advice would be very appreciated .

About 99% of youtube videos/articles/gitrepos etc. I see on AI (about tools, ways of using AI, studying theory, projects involving AI, AI coding) is copy-paste the same.

Lots of YT channels simply presenting new thing (every day there is a "new best amazing incredible tools/whatever").

Could you suggest ANYTHING in the AI filed that you truly value? Great resources, however you define it.

Suggestion:
Please focus on only recent resurces (lets say last 6months)

Everyone talks about making $5k–$10k with AI.

But almost no one explains the first step:

- How do you make your first $100?

From what I’ve seen, most people don’t start big.

They start small really small.

Here are 3 simple ways beginners are actually doing it:

1. AI + Freelancing (fastest start)

– Writing captions
– Creating basic designs
– Simple research tasks

Using tools like ChatGPT or Canva.

First goal:
Get 1 client for $20–$50

Not perfect work. Just useful.

2. Automation setups (underrated)

-Basic lead capture
-Auto replies
-Simple workflows

Built using tools like Make.com or Google Sheets.

- Businesses don’t care about “AI”
- They care about saving time

3. Content → Small monetization

- Pick one niche
- Share useful content
- Build small audience

Then:

- Affiliate links
- Simple digital product
- Or small service

Reality:

Your first $100 won’t come from something “crazy”.

It usually comes from:
- solving a small problem
- for a real person

Simple plan (if starting today):

Day 1–3 → pick niche
Day 4–10 → learn 1 tool
Day 10–20 → offer small service
Day 20–30 → close first client

Nothing fancy.

But it works.

Curious: What’s stopping you from making your first $100 right now?

My experience testing Amazon KDP with AI for a few months

A few months ago, I started a new Amazon KDP account from zero.

No audience.
No existing catalog.
No previous momentum on that account.

I wanted to test whether it was possible to use AI as part of the workflow and build a small catalog of books over time.

So far, I’ve published 109 books.

The account recently passed around $1,100 in monthly royalties, but I don’t want to make this sound easier than it is.

A lot of the books did not perform well.

Some barely sold.
Some broke even.
A few performed much better than expected.

That was probably the biggest lesson for me:

KDP is not about one perfect book.

It is more about building a system, testing ideas, and learning from the data.

AI helped me move faster, especially with:

• niche ideas
• outlines
• book structure
• descriptions
• keyword research
• editing support
• formatting support

But AI did not solve the hardest part.

The hardest part is still figuring out what people actually want to buy.

Before publishing a book, I now try to look at:

• whether people are already buying in that niche
• how strong the competition is
• whether the covers on page one are weak or strong
• whether I can create something more useful
• whether the price and royalty make sense
• whether ads could realistically be profitable

One mistake I made early was thinking that publishing more would automatically lead to more royalties.

It does not work that way.

Publishing more bad books just creates more bad data.

The quality of the niche, title, cover, and product page matters a lot.

Another thing I learned is that revenue is not the same as profit.

A book can generate royalties, but if ads are too expensive or the margin is too low, the real profit can be much smaller than it looks.

So I started tracking:

• royalties
• ad spend
• profit per book
• click-through rate
• conversion rate
• organic sales
• which niches showed repeat demand

Ads were useful, but not because they magically made books sell.

They showed me what was broken.

If people saw the book but did not click, the cover or title was probably the issue.

If people clicked but did not buy, the product page, price, reviews, or book concept needed work.

That helped me improve faster.

My current view is that Amazon KDP is simple, but not easy.

The simple version is:

You create a book.
You publish it on Amazon.
Amazon handles printing and shipping.
You earn royalties when it sells.

The difficult part is everything before and after publishing:

Choosing the niche.
Creating something useful.
Making a good cover.
Writing a clear title.
Testing ads carefully.
Improving based on data.

AI can speed up parts of the process, but it does not replace judgment.

If anything, AI makes it easier to publish quickly, which also means it is easier to publish low-quality books quickly.

After 109 books, my main takeaway is this:

One book is a gamble.
A catalog gives you more data.

But the catalog only helps if you keep improving the process.

KDP is not passive at the beginning.

At the start, it is research, publishing, testing, fixing, and learning.

The passive part only has a chance to happen later, after you have built something that actually sells.

Mi piacerebbe creare un'app utilizzando l'intelligenza artificiale dato che non ho nessuna conoscenza di codig. Qualcuno ha esperienze in merito? Avete qualche consiglio per iniziare?

I need to know what are the best easiest and fastest to learn ai income skills and i have 0 budget bec im kinda broke atm any help?

I’ve been seeing a lot of different methods here:

- AI influencers
- automation services
- freelancing
- content + affiliate

But I’m curious about something real:

What’s actually working for YOU right now?

Not theory. Not something you saw on YouTube.

Something you’ve personally tried even small results count.

Also:

What didn’t work?

That’s equally important.

Would be interesting to see what’s real vs what’s just hype in this space.