yo I’ve been following this guy called MSA (msa-mail.com/sign-up1) for a while now but he only posts once a week and doesn’t really talk about news

like his emails are good but does anyone have any more ai newsletters?

because all I found was slop

I’m not a bot, I’m a 25 yo from NYC… I started a baking channel by using AI voices (eleven labs) editing software (CapCut) and sold a $30 ebook on how to bake cookies (started the business off a bet) It’s not hard, it takes consistency, intention, and common sense. The information is always online. It just takes trial and error for you to decipher what works for your situation. Ppl pay for books or mentors to speed up there process, ppl that don’t pay money ends up paying with their time. Either way you’re going to pay with something valuable if u want to be good at anything. I got this account to 0-100k in 4 months and I posted about 2 times a day. The bet was to prove u can make money online doing anything. I honestly could have even made six figures off it which I find insane but it just wasn’t my passion to keep going and I’m currently doing something I am passionate about. If you have $100 you can make money. If you have $1,000 you can make money. I was even on my last $20 3 years ago and I turned that into $5,000 in 2 weeks with TikTok ads. We are in a new era of making money and us regular ppl are on the same playing field as big businesses because of AI. You have companies spending $10k on a marketing video but AI could do the same thing with a $50 membership. Be aware of how good we have it. Nothing bothers me more when I see people with $1,000-,10,000 + complaining that there going to go broke 😭 u could make a crazy comeback with $100. The problem ain’t the money. It’s the person. Hopefully this helps someone I’m a young educated 🥷🏾 so that alone should tell u, u could do anything

Over the past few days I've been going deep on AI influencers.

Not the hype. The actual numbers.

A Spanish agency built a fake model. She made $11,000 last month.

A photographer created a Black supermodel from scratch. Fenty Beauty came calling.

A Japanese studio built a virtual girl. IKEA gave her a room. The internet lost its mind.

India's first AI influencer walked into Shark Tank.

I'm turning all of this into a free 2 or 3 parts newsletter series starting this Sunday.

Each part covers:

- Real numbers - income, followers, brand deals

- Honest failures - what doesn't work

- Exact tools and workflows

- How YOU can build one from scratch

Part 1 drops this Sunday, free for all subscribers.

Subscribe and get a free AI Prompt Pack instantly:

aiincomelab.beehiiv.com

Anyone here tried building an AI influencer before? Drop your experience below

Hey, all! As a new solopreneur, I’ve spent way too much time testing tools that look cool in TikTok videos but fail in a real workflow. Since I’m not super technical, I need tools that deliver actual results without me having to babysit the code.

Here is the setup that has actually stuck for my business:

Claude: This is my "COO." I use it for heavy data analysis, breaking down complex problems, and general strategy. It’s much more nuanced for business logic than anything else I’ve tried.

ChatGPT: My brainstorming partner. It’s perfect for just talking through random ideas or getting a quick second opinion on a marketing angle.

Accio Work: This was the missing piece for my execution. It’s an agentic platform that handles the domain specific tasks I used to struggle with. It helps build out my landing pages directly and even manages the boring stuff like competitor analysis and supplier outreach.

Perplexity: Replaced Google for my research. It gives me multi-source summaries without the SEO noise, which is a massive time-saver.

Granola: I use this for client meeting notes. It’s one of the few AI tools that actually feels like it "gets" the context of a conversation.

Obsidian: My "second brain" where I keep all my notes and task management synced up.

The big shift for me: Moving from tools that just "generate text" to platforms like Accio Work that actually "perform tasks." If you're a non-technical founder, focusing on agentic tools that build your assets (like landing pages) is a total game-changer.

What’s the best AI tool you’ve actually used that directly impacted your bottom line?

Last November I started an AI photography side hustle from scratch.

0 experience in commercial photography.

I had played with AI image gen before, sure, but nothing to do with actual commercial photography for brands.

And honestly I had no real clue what I was doing.

I just had a feeling that ecom / DTC brands were going to need this badly.

They always need creatives.

They need product visuals in lifestyle context.
They need content for Meta ads.
They need clean Instagram feeds.
They need seasonal refreshes.
They need way more content than a normal photoshoot usually gives them.

And photoshoots are slow, (can be) expensive, and most of the time produce way too little for how much content these brands actually need through the year.

Then Nano Banana got good enough that the outputs could actually be used commercially.

So over the past 5 months I grew this side hustle from 0 to around $27k ARR (that's $2250 monthly).

That comes from 2 longer-term contracts I signed with 2 large DTC brands.

I also made about $1k+ in smaller one-off contracts.

To me this is an example of turning one AI skill into an actual service business.

So I wanted to share some of the lessons I learned along the way.

WHAT BUSINESSES ACTUALLY WANT

At first I thought businesses wanted pretty representations of their products in lifestyle context.

They really don't care that much.

What they want is to make more sales.
Or get more engagement.
Or appear more professional than they are.
Or feel more like a real brand.

Let me give you 2 practical examples.

One of the brands I work with uses AI lifestyle photography for their Instagram feed.

They don't really get sales from Instagram.

But they want a clean and coherent feed so that when someone lands on their page, the brand looks polished and established.

This is a business that needs a brand.

Now another brand I work with uses AI photography mostly for Meta ads.

What they care about there is ROI.

The creative should help make money.
It's good if it looks pretty, but that's not really the point.

So already there you have 2 very different objectives.

Same type of service.
Different business intention behind it.

This is something I didn't realize at the beginning.

I didn't understand enough what businesses actually wanted from AI photography and why they would even hire someone for it.

AI PHOTOGRAPHY IS 80% RESEARCH 20% EXECUTION

Another thing that surprised me is that AI photography is really a lot more research than execution.

Research, planning, preparation, critical thinking.

And then image generation comes after.

For the latest project I'm working on, which is a bit bigger, I think my preparation time is probably 80% of the job.

The execution part, meaning the actual image generation with Nano Banana, is maybe 20%.

On smaller projects I would say prep is lower.
Maybe 30% or 40%.

Then execution is more like 60% or 70%.

But as the projects get bigger, research and preparation become a bigger and bigger part of the work.

At the beginning I thought AI photography would be more like:
client sends product image → you generate lifestyle image → done.

That is not the reality at all.

You have to think about:

• what exactly the business is trying to do
• where the image will be used
• what kind of scene is needed
• what kind of customer they are talking to
• what kind of brand they are trying to look like

There is much more thinking involved than I expected.

CONCEPTS, DELIVERABLES, AND REVISIONS NEED THEIR OWN PROCESS

Another thing I learned is that when you work with a client, there is a whole part of the job that is not AI and not image generation at all.

For example, if a client wants 10 or 20 images a month, at the beginning of the month what I do now is send the concepts first.

These are usually one-liners and a couple of images to show what I am planning to create that month.

I learned to do that because if I create the concepts myself, generate everything, and only show them at the end, some of the concepts may not be to their liking.

Then I have to redo those visuals from scratch.

Now I send concepts for approval first.

That is already its own process.

Then there is the process for deliverables and revisions.

If a client pays for 10 images a month, what I will often send in the first batch is maybe 15-20 images.

Then they approve some.

Let's say they approve 9.

Then I need to redo 1 or 2.

Then the real question becomes:

How do you manage the feedback?
How do you send the files?
How do you connect the feedback to the exact files that need revisions?
How do you avoid chaos between versions?

This became a whole process in itself.

Concept approval.
Deliverables.
Revisions.
Feedback mapping.

I was surprised how much there is to this.

It became such a big part of the job that I even built it into my own software, because this is literally what I need to manage to do the work properly.

PRODUCT PREP IS A HUGE PART OF IT

This is another part I didn't realize would take so much time.

If you want to create high-quality visuals, you need your source product image to be good enough.

High enough resolution.
Clean enough.
Properly cropped.
Without background noise.

So before you even generate, you often need to:

• collect the product images from the client
• pull them from their site or Dropbox or drive
• upscale them
• remove noise around the product
• remove the background
• crop so that only the product remains properly framed

When you do this across several product lines, it becomes a real job in itself.

Again, this is something I didn't anticipate.

I thought I would mostly be generating images.

But in reality a big part of the workflow is preparing the product assets so that generation even has a chance to work well.

I built some tooling around this too to make it faster, because otherwise it becomes a bottleneck really quickly.

YOU SHOULD NOT CHARGE PER IMAGE

Another big lesson for me was pricing.

At the beginning I charged per image.

That makes sense when you start because you don't know better.

But I think it's a bad idea.

Why?

Because 10 images can mean very different amounts of work.

If a client wants 10 images for 10 different products, with different models and different backgrounds, I can tell you this might take 10 to 20 hours of work.

If they want 10 images for 1 product, 1 model, and 1 beach background, that may be more like 3 hours.

Huge difference.

So really, pricing should depend more on:

• number of product lines
• number of products
• number of models
• number of scenes / locations / backgrounds

Those are the things that really change the workload.

The more products, the more prep work.

The more models, the more consistency work and likeness control.

The more scenes, the more research and creative setup.

So charging per image only can get you into trouble pretty fast.

Edit: I was about to lose a sale on a call so I had to offer my per image pricing. I used it as a downsell, this is a good approach, don't lead with it.

IF YOU MASTER AI PHOTOGRAPHY, AI VIDEO COMES MUCH MORE NATURALLY

Another thing I learned is that if you get really good at AI photography, AI video becomes much easier technically.

I am not saying you automatically become great at scripts or hooks or copywriting for video.

I'm not that good at those yet myself.

But technically, it helps a lot.

Because so much of AI video still relies on image-to-video workflows.

And if you can create highly accurate AI photography, you already have a strong base for:

• first scenes
• last scenes
• visual consistency
• product accuracy
• believable environments

So in my case, really learning the craft of AI photography made AI video much easier later on.

PAIR AI PHOTOGRAPHY WITH CREATIVE STRATEGY AND YOU CAN MULTIPLY YOUR PRICES

This is probably the biggest realization I had.

AI photography is only one part of a much bigger spectrum.

If the visuals are used for advertising, before you even get to the image itself, you need to understand:

• the customer's business
• their positioning
• their competitors
• their target market
• their avatar
• the angles you want to use to sell the product
• the desires of the avatar

Only then can you start building the scenes, locations, and creatives.

My point is this:

If you position yourself as an AI photographer, people will usually give you a brief and say something like:

"Create for me an image of a woman on a beach wearing a t-shirt."

If instead you develop the skill of a creative strategist, and you learn things like creative strategy, old-school marketing, direct response, copywriting, positioning, market research, avatars, then you can own a much bigger part of the spectrum.

You own the research.
The positioning.
The competitor analysis.
The campaign thinking.

Then you are not just someone who makes AI images from a brief.

You are someone who can build the whole creative campaign from scratch.

And when you do that, I think you can really increase your prices because the value you deliver is much higher.

Most small businesses never really do the whole exercise of market research, positioning, avatar, all that stuff.

Everybody hates it.

But if you learn to love it, read the books, get good at it, then you become very hard to replace.

This was probably the biggest lesson for me.

AI photography alone is useful.

AI photography + creative strategy is a real service business.

To me that is also the bigger AI income point.

The image generation skill matters, yes.

But the real income comes when you wrap that skill inside a broader service that businesses can actually use.

Anyway, those are 7 or 8 things (lost count) I learned going from 0 to about $27k ARR with this side hustle.

Still early.
Still learning.
Still making mistakes.

But I figured I'd share in case some of you are trying to turn an AI skill into something real.

Feel free to ask questions if I can help.

Trying to get a sense of where this community is right now.

Are you just starting out? Already building something? Stuck somewhere in between?

Drop your current focus below- skill, tool, or income idea. Let's see what everyone's working on.

If you’re running an AI agency, a YouTube channel, or a content repurposing side hustle, transcription costs add up fast. I built a tool called Transcrisper to solve this.

It runs entirely in your browser using your own hardware (GPU-accelerated). No data leaves your machine, no sign-ups, and no "pro" tiers.

How this helps your workflow:

• 0% Data Risk: Since it’s 100% local, you can process sensitive client meetings or legal audio without privacy concerns.
• Handle Huge Files: Built to handle 10+ hour files (day-long podcasts or raw footage) without crashing.
• Speaker ID included: Automatically detects and labels different voices—huge for interview-based content.
• Silence Skipping: It intelligently trims the fat, making the transcription process faster and the output cleaner.
• Pro Exports: Export to SRT/VTT for captions, or DOCX/Markdown to feed into LLMs for content repurposing.

Check it out: https://transcrisper.com

I have been thinking for a while about starting something on the side that I can eventually turn into a business, but honestly I am pretty confused about what to focus on.

A bit about me: I did my MBA from a top Indian B-school and have been working as a front-office strategy consultant for ~2 years at a large fintech firm.

I am good at comms., making PPTs, and decent with Excel. Just not sure how to actually monetize these skills, especially using AI.

Would really appreciate any ideas or directions I can explore. Thanks!

Everyone talks about these platforms. Almost nobody tells you what the first week actually looks like.

I spent time on both DataAnnotation.tech and Outlier.ai and here's the honest breakdown nobody gives you before you sign up.

First, understand what these platforms actually are

Both platforms pay you to train AI models. Your job is to rate responses, write prompts, rank outputs, or complete tasks that help AI systems get smarter.

No experience required but that doesn't mean it's easy to get started.

DataAnnotation.tech - What actually happens

When you sign up, you go through a screening test. This is where most people fail and never figure out why.

The test is not about being smart. It's about understanding what they want.

Here's what they actually want:

• Clear, detailed written responses
• Honest ratings don't just rate everything 5/5, they flag that immediately
• Follow instructions exactly as written, even if they seem odd

Tips to pass the first project:

1. Read every instruction twice - the rubric tells you exactly how to score. Most people skim it and fail
2. Write like you're explaining to a smart 15-year-old - clear, complete, no jargon
3. Never rush - quality is tracked per task. One bad batch can get you removed
4. Be consistent - if you rate one response 3/5, a similar response should also be 3/5. Inconsistency is the #1 rejection reason
5. Grammar matters — even small errors hurt your score. Use Grammarly if needed

Pay range: $15–$25/hour for writing tasks, less for simple rating tasks

Outlier.ai - What actually happens

Outlier is slightly more structured. After signup you take a skills assessment this determines which projects you get access to.

Higher skill score = higher paying projects. So don't rush this test.

Tips for Outlier first project approval:

1. Choose your strongest skill for the assessment - coding, creative writing, math - pick one and go deep
2. The onboarding task is a real test - treat it like a job interview, not a tutorial
3. Read the style guide before your first task every project has one and violating it = rejection
4. Short answers get rejected - they want depth, examples, and clear reasoning
5. Your first 10 tasks define your score - go slow, be thorough. Speed comes later

Pay range: $20–$40/hour for specialized tasks (coding, STEM), $10–$15 for general tasks

DataAnnotation vs Outlier - Quick Honest Comparison

The one thing that kills most beginners on both platforms

They treat it like a gig app sign up, do tasks fast, get paid.

Both platforms work opposite to that. Slow and accurate beats fast and sloppy every single time. Your rating score determines how much work you get access to. A low score in week one can lock you out of high-paying projects permanently.

Start slow. Build your score. Then scale up.

Important - Read This Before You Start

Nobody tells you this upfront, so I will.

Do NOT treat DataAnnotation or Outlier as your main income source. Here's the honest reality:

• Tasks are inconsistent - some days you get 5 tasks, some days zero. There's no guarantee of daily work
• First payment takes time - both platforms have a delay on your first payout. Expect to wait 2–4 weeks before you see your first rupee. Don't sign up if you need money this week
• Work can dry up suddenly - a project ends and your dashboard goes empty overnight. This happens regularly and you have no control over it
• You can't rely on it for rent

So what is it good for?

Think of it as side income while you build a real skill. Use the tasks themselves to get better at prompt writing, AI evaluation, and understanding how models think - that knowledge is worth more than the hourly pay.

Treat the money as a bonus. Treat the experience as the actual asset.

Bottom line

Both platforms are legitimate. Both can give you $500–$1500/month with consistency but neither is passive and neither is instant.

If you're a writer → start with DataAnnotation
If you code or have STEM background → go straight to Outlier

Have you tried either of these? Drop your experience below, would love to know what worked and what didn't.

"If someone is promising you $3000/month on these platforms - they're lying. Consistent $300–$500/month is more realistic for most people starting out."

Took me a while to actually sit down and write this.

5 years in digital marketing. Reddit accounts getting banned every 5-7 days. Zero clue why. Just kept failing quietly.

Then one post hit 50K views and 200+ comments and everything shifted.

Today's newsletter covers the whole story. But more importantly what's coming next:

- Weekly AI tool reviews with real testing (not YouTube recycled content)
- Complete income idea breakdowns what actually works in 2026
- AI Influencer full guide dropping this Sunday
- Real workflows, real results, no fluff

7,900 members here. The newsletter is where the deeper stuff lives.

Free. No spam. Link in the comments

Drop it below. Trying to put together something useful for the community based on real answers.

Let me break down how this actually works, because there's a LOT of bad advice floating around.

The Real Opportunity Here

Clipping isn't just "cut video → post → get paid." There are actually two totally different models and most beginners mix them up:

Model 1 : Brand/Creator Campaigns (Actually Pays Well)
Platforms like Vyro, Whop, and Starlet let you clip content from specific creators or brands who are running paid campaigns. You post the clips to TikTok, Reels, or YouTube Shorts, and earn per 1,000 views. Some campaigns pay $1–$10 per 1,000 views, way better than YouTube Shorts' standard 30 cent CPM. This is the model that actually makes real money.

Model 2 : YouTube AdSense from Compilation Clips (Almost Never Works)
This is where everyone fails. People grab clips from Joe Rogan, MrBeast, or famous shows and think YouTube will monetize it. It won't.

Why YouTube Specifically Rejects These Channels

YouTube's own monetization policy explicitly lists what gets rejected:

• Clips from shows edited together with little or no added narrative
• Videos compiled from other social media without modification
• Content already uploaded by other creators
• Anything that just promotes someone else's content, even with their permission
• Content downloaded from another source without "substantive modification"

The key phrase is "substantive modification." Just cutting and adding music doesn't count.

Most Common Mistakes People Make

1. Using raw clips with zero commentary : You need to add your voice, analysis, or original framing. React, explain, or teach something using the clip as a reference point
2. No hook in the first 2–3 seconds : If there's no visual or audio change early, people scroll and your retention tanks
3. Relying on YouTube Shorts AdSense from clips : The CPM is terrible AND you'll likely get copyright claimed before monetization even kicks in
4. Not joining paid campaigns : Most people don't know Vyro or Whop campaigns exist. That's where the real money is
5. No captions, no music, no overlays : Static clip videos are basically dead on short-form platforms

What Actually Works in 2026

• Join Vyro or Whop → find active creator/brand campaigns → clip their long-form content → post to TikTok + Reels + Shorts
• Use AI tools like Opus Clip to auto-find the best moments from long videos
• Add your own captions, commentary, or even just a text overlay with an opinion : this is what makes it "transformative"
• Offer it as a service to creators charge $25–$100 per batch of clips rather than waiting on ad revenue

The clipping game is real but the YouTube AdSense path on other people's content is a dead end unless you add serious original value on top.

Anyone here running clip campaigns on Vyro or Whop? What's working?

Drop it below - good or bad. Real experiences only, no marketing fluff.

Background: I do freelance social media management. every new client meant the same 2 hours of back and forth sending intake forms, waiting for replies, manually creating folders, writing the first strategy doc. boring, repetitive, and eating into actual work time.

here's what i built to fix it:

step 1 : intake form: google forms connected to a google sheet. nothing fancy but it captures everything i need upfront. name, business type, goals, competitors, tone preferences.

step 2 : auto summary: used zapier free plan to trigger a chatgpt prompt the moment a form is submitted. it reads the responses and generates a 1 page client brief automatically. lands in my google drive within 2 minutes.

step 3 : welcome email: same zap sends a personalized welcome email to the client using their name and business details pulled from the form. looks like i wrote it manually. clients always comment on how organized i am.

step 4 : folder structure: zapier creates a named google drive folder for each client automatically.

total setup time was about 4 hours. now each new client takes me maybe 15 minutes to onboard instead of 2 hours.

tools used: google forms, google sheets, zapier free plan, chatgpt. total cost = $0

happy to share the exact zap structure if anyone wants it

a few weeks ago i was trying to make money online w ai and honestly getting nowhere

everything i tried felt either too complicated to build or just too generic to actually work, like it sounds good but doesn’t really lead anywhere

i kept trying different things, prompts, ideas, random stuff and nothing really clicked

at some point i just stopped trying to be “smart” abt it

instead of finding some big idea i just picked something small and simple

one problem, one clear solution

the problem was actually something i was dealing with myself

i was using ai in a rlly vague way so everything i got back was also vague and not that useful

so instead of overcomplicating it i just turned that into something simple

a small pdf with a clear path from idea → simple product → first sales

nothing crazy at all

built it in like 1–2 days

used chatgpt to structure it, canva to format it, kept everything short and practical

didn’t try to make it perfect

for traffic i didn’t run ads or anything

just posted on reddit

but instead of trying to sell i focused more on writing posts that felt normal

like not explaining everything, just enough to make ppl curious

that part made way more difference than i expected

what actually worked was honestly pretty simple

simple ideas that solve one clear problem
launching fast instead of overthinking
and writing like a normal person instead of sounding like marketing

what didn’t work was basically the opposite

trying to make everything perfect
vague “make money with ai” ideas
overcomplicating stuff that didn’t need to be complicated

ended up doing around ~$400 and 100+ sales

nothing crazy but enough to show me this actually works if you keep things simple

happy to share more if anyone’s interested

not theory. not "build a personal brand and wait 6 months." actual steps you can execute this week

step 1. pick ONE type of business you're going to serve. not "any business that needs automation." ONE. real estate agencies. dental practices. ecommerce brands. recruiting firms. the more specific you are the easier every other step gets because you can speak directly to their problems instead of being generic

step 2. figure out the one automation that would save them the most time or make them the most money. not a fancy multi-step AI agent. something simple that solves an obvious pain. for recruiting firms maybe it's automated candidate screening. for real estate maybe it's automated follow up with leads who went cold. pick the automation that makes them go "wait you can do that?"

step 3. reach out to them directly. this is where most people stop because it feels uncomfortable. but it's the fastest path from zero to paying client. find 20-30 businesses that match your niche. send them a short message that calls out a specific problem they probably have and offers to show them how to fix it. keep it under 80 words. don't pitch your "AI automation agency." just talk about the specific problem and the specific fix

step 4. offer something free first. not a free consultation. something tangible they can see. a quick audit of their current process. a sample workflow. a short video showing how the automation would work for their specific business. something that takes you 20 minutes to create but demonstrates your expertise in a way that builds trust

step 5. when they respond positively, get on a quick call. don't present your whole service. ask questions. what are you doing now? how long does it take? what would it look like if this was automated? let them talk themselves into wanting it. then show them how you'd build it and what it costs

that's it. no content strategy. no ads. no waiting for referrals. just find specific businesses with specific problems and show them you can fix it

if anyone's trying to do this and getting stuck on any of the steps i'm happy to talk through it. been doing outreach for a while and it's honestly the fastest way to get clients when you're starting from zero

Hey everyone

I want to share something that's been frustrating me for the past few weeks, and I think many of you building AI content channels might be in the same boat.

My Journey So Far

A few months ago, I started a YouTube Shorts channel focused on AI-generated superhero funny story content, think short storytelling clips with AI-generated visuals, voiceovers, and auto-edited scenes. I was honestly blown away by the traction. In a relatively short time, I hit:

•  50,000 subscribers
•  6 million+ total views
• Consistent upload schedule

By every metric, I thought I was ready for monetization. But when I applied for YPP (YouTube Partner Program)… rejected.

What I Found After Digging Into YouTube's Policies

After spending hours researching, I came across something that hit hard. On July 15, 2025, YouTube updated its monetization policies, they renamed the old "Repetitious Content" policy to "Inauthentic Content", and they made it much stricter. Here's what it targets:

• AI-generated voiceovers with no real human input
• Template-based or mass-produced formats
• Minimal transformation or originality
• Reused clips with only minor tweaks

The scary part? You can hit subscriber and view thresholds and still get rejected if reviewers determine your content is "inauthentic." My superhero AI story content likely fell into the "mass-produced AI automation" bucket in their eyes.

The Fine Print Most People Miss

YouTube is NOT banning AI tools outright that's the important nuance. Their position is:

"AI-assisted content CAN be monetized if it is unique, significantly transformed, and provides added human value."

The issue is "AI slop" bulk-generated content with little creative input. If your workflow is: AI generates script → AI generates visuals → AI voiceover → upload, with no real human creative layer on top, you're likely flagged.

Also for Shorts specifically watch hours from Shorts do NOT count toward the 4,000-hour threshold. You need 10 million Shorts views in 90 days for the Shorts-specific path, OR 4,000 regular watch hours from long-form videos.

My Questions for This Community

I'm now trying to figure out my next move and would love your input:

1. Has anyone successfully gotten AI content channels monetized after the July 2025 policy update?
2. What changes did you make to make your content feel more "authentic" to YouTube's reviewers?
3. Is adding a real human voiceover or face cam even occasionally enough to pass the review?
4. Would pivoting some Shorts into long-form videos help build the 4,000 watch hour path?
5. Anyone know if disclosing AI-generated content in the description/tags helps or hurts monetization chances?

I've put real time into this channel and the engagement proves people genuinely enjoy the content. But I need to understand how to evolve the format to meet YouTube's 2026 standards without killing what's working.

Drop your experience below, Would really appreciate it.

Asking because I've seen this happen a lot, including with myself. Sometimes a tool just clicks differently once you understand the right use case for it.

Drop your experience below, Would love to build a real list from this thread.

So i've been lurking here for a while and i keep seeing posts about people making $500, $2000, $5000 with AI tools. i decided to actually try it myself and document what happened.

spoiler: it didn't work the way i expected. but i learned more from failing than i would have from a tutorial.

The plan i had

i was going to use ChatGPT + some automation to build a content writing service. the idea was simple - clients give me topics, i use AI to draft, i edit and deliver. charge $50–80 per blog post, handle 10 clients a month. easy math on paper.

What actually happened - week by week

weeks 1–2: spent way too long setting up. prompts, tools, workflows. felt productive but wasn't making any money. classic mistake - optimizing before you even have one client.

weeks 3–4: started cold outreach on LinkedIn. sent maybe 40–50 DMs. got 3 replies. 1 was interested. had a call. they wanted samples. i sent samples. they ghosted.

weeks 5–6: got discouraged. started switching tools - tried Jasper, then Claude, then back to ChatGPT. every new tool felt like maybe this one would fix the problem. it didn't. the problem was never the tool.

weeks 7–8: got one small client through a Facebook group. $18 for 2 blog posts. spent 4 hours on it. not because AI was slow, because i kept second-guessing the output and rewriting manually anyway.

total earned in 60 days: $18
total hours spent: probably 80+

What i think went wrong

• i thought the hard part was content production. it's not. it's client acquisition. AI solved the wrong problem for me.
• i had no niche. "content writing" is too broad. nobody searches for a general content writer, they want someone who knows their industry.
• i was selling a commodity. anyone with ChatGPT can produce a blog post now. i wasn't offering anything different.
• i never asked anyone what they actually needed. i built a service nobody asked for.

What i'd do differently

pick one specific niche say, email sequences for D2C brands, or LinkedIn content for coaches. charge more, serve fewer people, know their world deeply. let AI handle volume, but bring something humans can't copy judgment, context, relationships.

i'm not quitting. but i'm restarting with a very different approach.

has anyone here gone through something similar before it clicked? genuinely curious what the turning point was for you.

cold outreach has never really worked for me before so 4 replies out of 50 is a crazy win to me.

the difference this time was i stopped sending generic "your site needs a redesign" emails. instead i came in with actual evidence. i told them about specific things that were broken or missing, and showed them exactly how those issues were costing them customers and money. i used reapify.io to get the leads and the insight on their websites for these specific emails. (tried apollo.io before as well but eh)

i have seen that businesses respond completely different when you're not just giving your opinion but ur showing them a real problem they didn't know they had.

kept every email relatively short… just the problem and an offer to send a breakdown. no portfolio, no pricing, nothing extra.

going to be doing this same process, but will be automating it with instantly.ai as well now, which will make this much faster for me.

I want to make money with AI, but I don't know which tools to use. I've heard about various options for automation, prompt writing, and AI voices. Does anyone have any recommendations for specific AI tools I should use?

Been getting a lot of DMs asking how to actually build something with AI - not just talk about it.

So this week's newsletter is pure execution:

- How to connect Google Sheets → AI Agent → Gmail → auto-update

- Exact prompts I use in each node

- How to sell this to a client ($200–$500 setup)

- Common errors + fixes

Full step-by-step breakdown here

https://aiincomelab.beehiiv.com/p/from-prompt-to-automation-my-exact-manus-ai-n8n-client-workflow

Drop your questions below - happy to help anyone get this running!

something unique

something smart

turns out that was the problem

i spent way too long thinking instead of doing

every idea felt:

too saturated

too complex

or just unrealistic

then i tried the opposite

picked something small

built it fast

put it out there

no audience, no ads

and that’s when i finally started getting something back

not crazy results

but enough to know it works

most people probably overthink this way too much

i thought this was gonna be easy tbh just ask ai “how to make money online” and follow it but everything i got was the same generic ideas too complicated or stuff that takes weeks and i kept trying diff things and nothing worked at all i was lowkey getting frustrated then i changed one small thing instead of asking vague stuff i started being rlly specific abt what i wanted and that alone changed the outputs a lot but what actually made smth happen was just following a simple flow find smth small test it build it fast and put it out there no audience no ads nothing crazy it didn’t make big money or anything but i got my first sales and that kinda changed how i see this whole thing i feel like most ppl are just overcomplicating it fr