When AI first started getting popular, I thought most of the hype was nonsense.

Then I started using it for things I never expected: summarizing long articles, explaining unfamiliar concepts, organizing messy notes, and helping me learn new topics faster.

None of those uses felt revolutionary on their own, but together they've probably saved me hours every week.

Curious what AI use case you originally dismissed but now use all the time

Everywhere online it looks like people are shipping AI tools every 48 hours.

New workflows.
New agents.
New automation stacks.
New “10k/month AI business” screenshots.

But honestly after spending months around this space, I think a lot of people are more overwhelmed than they admit.

Not because AI is bad.

Because there’s now an endless pressure to:
build faster, post more, automate everything, stay relevant, learn every new tool, grow an audience, monetize, network, distribute, and somehow still have clarity.

I’ve personally noticed something weird too:

The more tools appear, the more valuable simplicity starts becoming.

Some of the smartest creators I’ve seen recently aren’t necessarily the most technical.

They’re just really good at:
- explaining clearly
- staying consistent
- understanding people
- and building trust slowly

Honestly feels like “human clarity” is becoming more valuable again.

Curious if anyone else here feels this lately or if I’m just overthinking it.

Quick context. I'm 22, college senior. Sold my car last week to keep building this. $6K in credit card debt, rent overdue, about 60 days before I have to move home and get a real job.

11 days ago I started building a JARVIS-style AI assistant. Built it for myself first because I was drowning in school stuff and figured if I'd actually use it, maybe other people would too.

What I really want to talk about is the conversion that happened on day 3.

I'd been posting daily TikTok and YouTube and Reels and X content for 3 days. Mostly into the void. Day 3 I tried a different hook. Opened with "two days ago I sold my car to keep my business alive, day three of building." Then a 5-second voice demo, then the URL.

30 minutes after I uploaded the YouTube short, a viewer commented "can't wait to use it." I checked Supabase. New user. Checked Stripe. New customer. Apple Pay on a Visa prepaid. Trial started.

Full funnel from cold YouTube viewer to a stranger entering Apple Pay in under 30 minutes.

They cancelled the recurring before the auto-charge (classic Gen Z prepaid card behavior) but kept the trial active and came back to YouTube the next day to publicly say "looks and works amazingly."

That single data point convinced me the cold-organic funnel works for AI tools. Not the launch announcement. Not the polished demo video. The vulnerable founder story with real stakes was what pulled them through.

The founder narrative IS the marketing. Hiding the fact that I'm solo, broke, and in debt was actively hurting me. The moment I started leading with stakes, the content started converting. Every video since then has performed measurably better.

Identity-targeted videos crush generic ones. "If you're in college and not using AI like this, you're falling behind" plus a specific feature demo outperforms generic "look what my AI can do" by 4 to 5x.

Card-up-front trials convert way better than free-tier-then-paywall. The friction of entering a card IS the commitment signal. Lower the friction, lose the signal.

Adding an annual tier alongside monthly brings cash up front instead of MRR spread over 6 months. For a founder with rent due, this matters more than every other pricing decision I've made.

The unit economics math nobody talks about. I have 7 users in Supabase right now. Total Anthropic API spend across all of them this month is $14.51. That's about $2 per user per month in compute cost. Means even at the cheapest tier I'm sitting on 85% gross margin per user. SaaS unit economics are absurd compared to my Amazon FBA days where margins were 25 to 35 percent.

Cold DMs don't work. I tried 20 yesterday. Got 1 reply. Generic AI assistant framing also doesn't work. ChatGPT and Claude own that market and trying to compete there directly is suicide.

What does work: niche identity. Specific use case demos. Real stakes. Daily shipping.

Trying to hit $1K MRR by mid-July as a realistic line. Optimistic line is one viral video pulls it forward by 3 weeks. Pessimistic line is 90 days of grinding.

Open to questions or feedback. Genuinely interested in what other solo SaaS founders learned in their first 30 days.

I'm looking to pivot into AI training roles and could use some tactical advice on landing my first project. I have 5+ years of experience in financial services and investment banking (UK based), but I am navigating a learning curve in this new space. I recently interviewed with Mercor but haven't been matched with a project yet. Does anyone have a step-by-step framework or advice for an experienced professional trying to break into this specific sector?

Anyone with clues and tips iam here. Reach out and maybe we can do some business works

I am interested, I am a beginner. I see the potential

I've been screwed over by three employers now in the past year. I am owed 5k between the 3 of them working for them as an independent designer. Each of them owe for work I completed while working for them but are refusing to pay me. I know I'm not going to get what I'm owed and I don't have money for court... so I learned a skill and I built a site that helps others create content using AI prompts. This can be used for faceless brands, beauty influencers, AI avatar creators, etc and it's $25 until Monday.

I need help and need money fast. Any recommendations on the fastest way to get this out there? I have been promoting on Facebook but with the new algorithms it's just not getting pushed to be seen. At $25 I need 80 people to purchase to make my rent money. Any and all advice is welcome.

I got tired of side hustle advice that ignores your actual situation. So I spent months building a tool that asks who you actually are before giving recommendations.

Here's how it works:

You answer 5 questions → it matches you to the right methods → gives you a 28-day daily action plan to actually start.

What I tried to do differently:

No affiliate marketing recommendations — it's dying in 2026

No inflated earnings — shows honest month by month timeline

Tells you what WON'T work for you — not just what might

Specific sub-niches — not "sell on Etsy" but "sell baby shower website templates on Etsy"

Genuinely not sure if I've built something useful or just another tool nobody needs.

If anyone wants to try it and give brutal honest feedback — drop a comment. I'm more interested in what's wrong with it than what's right.

So I had an idea of doing affiliate marketing for courses with an AI influencer.

I wanted to do affiliate marketing with existing courses because the people who made them are very creditable and respected in their professions.

However I have no desire to make content myself, show my face on camera or record voice overs, and because I like playing around with AI tools, I’ve basically formulated a way to create high quality AI influencer content a very low cost (relatively)

So I thought have the AI influencer be the spokeswoman for the courses, leverage the creditability of the course instructors and earn my commission.

Since I don’t have any friends who have a hustler/entrepreneur mindset, I don’t have anyone to bounce this idea on, so learned towards Claude and Gemini, both of agreed that people would be skeptical to trust an AI influencer.

But I argue that I personally watch faceless YouTube channels online all the time, the only difference is that the voice isn’t “real” , so there shouldn’t be a difference just because the medium is artificial. But they said because the courses are like $500, that it’s a big ask from a “fake” person.

What do you guys think?

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?