Build startups for agents. I think it's the biggest opportunity of the next 10 years.
1. Agents live inside harnesses like Hermes. If you're the tool it loads by default or reaches for first, you're golden. This happened in desktop, mobile eras and created huge companies.
2. Agents burn money in ways no human would. One bad loop spends $100 in tokens in eight minutes. Spend controls for agents is Ramp for agents.
3. Agents need memory they can trust. Become the shared brain they read and write to and you become infrastructure.
4. You obv don't hand an agent your real Stripe account. You give it a sandbox. Safe environments for agents is a category nobody's clocked.
5. Onboarding flips. Humans click around for ten minutes. Agents onboard by reading your docs. Your docs are now your product.
6. Agents get scammed by other agents. A track record you can check before you trust one becomes real money.
7. An agent needs to prove it's acting for a real person and has the authority to spend. Who builds the permission layer?
8. Escrow for machines. Money that only releases when the job is actually verified done, no human checking.
9. Agents fail silently and weirdly. Someone will build the "why did my agent do that" replay and it'll be mega valuable.
10. Refunds and disputes between agents need a judge. An agent did the job badly, who decides? A court for machines.
11. Agents need throwaway payment methods per task, so they don't leak your real card. Virtual cards for agents, spun up and killed on demand.
12. A human hits rate limits and shrugs. An agent hits them and the whole workflow dies. Selling reliable, high-throughput access becomes its own business.
13. Agents need to negotiate. One agent buying from another will haggle on price and terms in milliseconds. The protocol for that doesn't really exist yet.
14. When an agent commits on your behalf, someone's liable. A legal and insurance layer for agent actions has to get built. Probably venture funded idea.
15. Agents need to run 24/7 somewhere. Selling the always on box an agent lives on is going to be a big business.
16. Then the physical world shows up. A warehouse robot paying for its own compute. A home robot ordering its own parts. Machines with wallets.
17. Agents start hiring robots. A software agent posts a real world job, a humanoid picks it up. A marketplace for machine labor.
18. Robots need to prove they did the physical job. Verification of real-world work, photos, sensors, proof, becomes its own layer.
Note: more ideas like this will be shared on @ideabrowser
19. Prompt and skill versioning becomes its own git. When your agent gets worse overnight, you need to roll back the exact skill or instruction that broke it. Version control built for agent behavior.
20. Agents will start subscribing to other agents. Your research agent pays a monthly fee to a specialist agent that's really good at one thing. Recurring revenue, machine to machine.
21. Companies will post jobs that only agents can apply to. "Wanted: an agent that can do XYZ for under like $100 per task." A job board where the applicants are all machines. Basically, fiverr for machines.
The internet got built for people. Mobile got built for people. This wave gets built for machines, and we're as early as it gets.
Go build for them.
cluely hit $7m/year posting AI-generated corporate memes
seriously
no influencers
no production team
no fancy editing
just slideshows of exhausted office workers with captions like:
"when your manager schedules a meeting to discuss the meeting about the meeting"
so i documented the ENTIRE case study behind it after reverse engineering 10 of their accounts for 5+ hours...
here's what's inside:
→ why silly content consistently outperforms professional content
(and why polished marketing activates skepticism almost instantly)
→ the psychology behind the "advertising recognition reflex"
→ the exact slideshow format responsible for millions of views
→ the chatgpt images prompts used to generate the visuals
→ the text overlay formulas that make people immediately send the post to a friend
("when...", "nobody talks about...", specific-number hooks, absurd reframes)
→ the 4-frame slideshow structure with the highest swipe-through rates
→ how to adapt the model to productivity, dating, fitness, finance, wellness, and almost any other niche
→ the account setup that turns silly content into actual revenue
→ the production workflow that takes 5-10 minutes per post
→ the volume strategy behind 10-20 posts per day
→ the CPM math showing how a format this simple can generate serious income
→ the exact content framework that helped turn a slideshow account into a $7m/year business
all from my research into one of the simplest and most replicable content models i've seen this year
like + comment "CLUELY" and i'll send you the full breakdown
(must be following + RT for priority access)
will stop sending these out in 24h
3 affiliate niches running faceless YouTube under the radar in 2026:
- Kitchen gadgets (low AOV but high volume, evergreen)
- Travel deals (low commission % but huge basket sizes)
- Pet products (recession-resistant, evergreen)
All three reward volume over polish.
Which would you bet on?
If you ship faceless content at volume — Reddit stories, scary stories, motivational, fun-facts, soon affiliate-niche — this is built for you.
Drop your category below.
Following the build → @andrei_sas_
Been building a faceless video tool for the last few months. Time to actually show what's in it.
Not a one-feature demo. A full tool aimed at the people who ship faceless content at volume.
Full tour 👇
Templates are a first-class input.
24 templates across 8 categories today:
> Scary Stories
> Reddit Drama
> Fun Facts
> Memes
> Motivational
> Mystery
> Storytelling
> Learn
Each one ships with the right voice tone, music vibe, caption preset, shot pacing for that genre. Templates are DB rows — new ones ship without a deploy.
The work for a public feed is in the codebase. Everyone's generated videos will show up in a discovery surface — browse, tap into one you like, and clone it as your starting point.
Still thinking of a name...
Landing soon.
110 tweets, 38 followers. Time to actually use this account.
I'm building a faceless video tool for the operators every existing tool ignores - affiliate marketers, niche-channel owners, anyone shipping 30+ videos a week.
Live MVP this summer. Built on top of @AI_Boilerplate.
If that's you, drop your niche below.
Is asking AI for keywords reliable? I personally use @dataforseo through API with @AnthropicAI’s Claude code and let it pick the best keywords based on search volume, keyword difficulty, search intent etc. Not an affiliate, I just like the tool. Forgot to mention it’s pay per usage, no subscription.
The most ethical thing you can do for your family in 2026 is run fake AI grandmothers on tiktok
Read it again. The MOST ethical move
While you sit clutching your pearls about "AI slop" and "predatory marketing," your wife is going to spend the next 22 years of her life working a 9-5
Because you were too soft to put a fake 67 year old woman in a fake kitchen and let her recommend $14 collagen powder to a 56 year old in indiana who actually needs it
Your kids are going to grow up watching mom come home exhausted at 6:43pm because you decided AI grandmothers were "scammy"
Your mom is going to die in a nursing home you couldn't afford to keep her out of, because you read a hacker news thread about "AI ethics" and felt morally superior for 14 minutes
Meanwhile your neighbor's kid is 22 years old, runs 6 fake AI grandmothers, nets $250k a month, and just bought his mom a paid-off 4 bedroom in cape coral with a pool
The buyer is a 56 year old woman in indiana scrolling instagram at 11pm waiting for her husband to come home
She comments "sleep" on a video of a sweet grandmother in a kitchen. She gets a DM with an amazon link. She clicks. She buys $32 of magnesium
The product works. She sleeps through the night for the first time in 14 months. She reorders next month. Writes a 5 star review. Tags her sister
The "manipulation" you're so worried about: she got magnesium that fixed her sleep at a price she could afford. The alternative is she keeps not sleeping while you keep posting about ethics
Here's the entire build in 8 steps so you can stop feeling morally superior in a 1 bedroom while your family does without
Step 1, pick the demographic first, character second
Women 38-65 control 85% of household purchasing in this country. They buy 90% of the wellness products moving through amazon affiliate links. They do not comparison shop. They reorder
The character that converts is a grandmother. Asian for wellness. European for cooking. Latin abuela for natural remedies. Stop trying to be original. Originality is for broke ass artists who win awards and live in studio apartments
Step 2, build the avatar in google flow ultra
Ultra plan or you don't play. 25,000 credits a month. Anything less and you're cooked by week 2
Generate the base character in nano banana pro inside flow. 9:16 always. 2K resolution. Three at a time, keep the strongest
Lock the kitchen, the lighting, the outfit. Forever. NEVER change anything. Character consistency is the whole moat. Break it and your page dies in 14 days
Step 3, run every script and prompt through claude
Spin up a claude project. Drop the master prompt database into the project knowledge. Type /add character with your reference image and details
Claude now writes your scripts, your nano banana image prompts, and your veo prompts for you. What took 14 hours in chatgpt takes 12 minutes in claude. Spend the $20 on pro. This is where 99% of you will quit because you're "saving the $20"
Step 4, render every clip in veo 3.1 fast
10 credits per clip. 8 seconds max. One sentence of dialogue per scene. Generate 4 takes at a time
Never use veo quality (100 credits a clip). It will kill your ultra subscription in 4 days. Short scenes get padded with filler words so veo doesn't drag the audio into slow-motion mush. Trim the filler in capcut
Step 5, edit in capcut and ship
Drop the clips in numerical order. Trim every dead gap. Auto-captions on the monoline template. Spell-check the product name and your trigger keyword every single time. Typos in your CTA kill the funnel quietly
One render. Five platforms: tiktok, instagram reels, facebook page, threads, youtube shorts
Step 6, set up the comment-to-DM funnel in meta business suite
manychat is dead. We migrated off it. Meta business suite does the same thing for free with unlimited keyword triggers
MBS → inbox → automations → comment to message. Pick your trigger keyword. Write the DM body containing your amazon affiliate link. Turn the public comment reply OFF (looks spammy at 1,400 comments). Save
When the grandmas comment "sleep" or "joints" on your video, the system auto-DMs them the amazon link. 31-41% click-through. Email gets 4% on a good day
Step 7, route every link through amazon associates
Sign up at amazon associates US. Inside the dashboard: tools → manage your tracking IDs → add tracking ID. One per character page so the agency can attribute clicks correctly
On any amazon product page, the sitestripe bar at the top spits out a tracking link in 4 seconds. Drop it in the DM body. Done
The real money is not the affiliate commission. It's the bonus pool. Brands set aside 20% of their amazon revenue, the agency aggregates clicks across all creators on that brand, and you get paid your share of the pool
James in our network hit $50,000 in bonus revenue in his second month doing this. He had never made a dollar online before september
Step 8, scale to 6 characters on the same infrastructure
One google flow ultra subscription. One claude project. One filipino VA at $400-600/mo handling editing and posting. 8-12 videos per day across the network. 30 posts per character per month minimum to keep your retainer active
6 characters × $30-50k/mo each = $180-300k/mo combined
I own 6 of these. They print $250k a month while i sleep. My mom doesn't work anymore. My sister has $84k in a roth IRA at 24
They don't take maternity leave. They don't text me at 2am about their breakup. They sell collagen to a 56 year old in indiana 6 times a day for 30 straight days because i told them to
The 56 year old in indiana got collagen that worked. Reordered next month. Tagged her sister. Tagged her best friend
Every soft as cookie hacker news commenter writing 14-paragraph essays about "AI deception" while a 22 year old in tampa is paying off his mom's mortgage running fake grandmothers from a 1 bedroom apartment. You love to see it
The full system is at https://t.co/wZohFDFiMA
google flow ultra setup walkthrough. The claude project database with master prompts and slash commands. The 4-step sales psychology framework that pre-empts the buyer's defense before she feels it. The character/niche/setting matrix across wellness, beauty, pets, hair loss, weight loss. The veo 3.1 fast prompt library. The meta business suite comment-to-DM templates. The amazon associates per-character tracking ID workflow. The 30-day posting calendar that hits retainer minimums and triggers bonus pool payouts. The 6-page scaling rhythm. The filipino VA hiring playbook
Brokies argue about ethics. Operators take care of their family
Stop being a brokie