One prompt. 300 sub-agents. 4,000 steps. Zero humans in... the loop. Kimi K2.6 ran 12 hours unattended, made 1,000+ tool calls, and pushed a model from 15 tok/s to nearly 200. By itself. This is the swarm everyone's about to copy. Full breakdown below 🔖show more

youtube is paying $8,217 a month to a channel... with zero humans. no face. just 6 AI tools publishing anime on autopilot twice a week and youtube has no idea the algorithm doesn't check who made the video. it checks one number: how long people keep watching that's the entire game an 8-hour lofi anime stream plays on loop. one upload turns into hundreds of hours of watchtime every month at $3-8 RPM that's $2,400-6,400 from a single file the pipeline runs itself claude writes the script. midjourney draws the frames. runway animates. elevenlabs voices it. suno writes the soundtrack. assembles and publishes humans in the process: zero from prompt to a finished 12-minute episode: 2 hours. from episode to youtube: zero one channel. $8,217 last month article below - every prompt for every step most people ask "will AI take my job". better question - why are you still trading hours for money when a pipeline trades prompts for watchtimeshow more

Solana hasn’t seen the Swarm yet. It’s been dormant.... We’re about to wake it up. This isn’t “agents.” This is economic coordination at scale. A system where intelligence routes capital, data, and action... automatically 👀 The Stack: 🧠 Brains: Syra memeputer WURK.FUN 📊 Data: Nansen 🧭 UpRock (via Corbits ) 📡 Signal: x402jobs API One prompt → Infinite routing → Zero friction. The Swarm is activating 💡 Orchestration starts now ⚡️show more

Vibe coding is fun but paying $1,000 bill to... Vercel or getting attacked by a hacker is painful So you can just copy this 12 rules and forget it about 1- Open Cursor 2- Add a new Cursor rule 3- Copy and paste the rules (Link in the comment)show more

anthropic will sell you opus 5 at $200 a... month. openai will sell you gpt-5.6 at $200 a month. neither will tell you stanford and berkeley published the 5 principles to build a $100k/mo ai company on kimi k3 for $10 stanford and berkeley spent years figuring out what actually separates ai systems that work in production from ai systems that die in demos. they published the findings. anthropic and openai priced their frontier subs like nobody would read the papers. the papers are free this is dspy plus verifiers plus decomposition plus skills plus mcp. five principles from stanford, berkeley and moonshot that turn a $10/mo kimi k3 sub into an ai analyst that runs unattended. the model is public. the system is the moat five moves that turn kimi k3 into the $100k/mo company: P1 don't prompt, program (stanford dspy) -> stanford proved hand-tuned prompts don't scale. define a pipeline as modules, let the optimizer tune them -> the compiled pipeline beat expert few-shot on multi-step tasks. one line of dspy replaces a month of prompt engineering P2 don't trust the model, build verifiers (berkeley 2026) -> a compiler either accepts or rejects. a test either passes or fails. that is a verifier -> berkeley: test-suite reward hit 42.2% pass@1 on swe-bench. hybrid verifiers hit 51.0% best@26. no bigger model, just a real check P3 don't scale agents, decompose them (stanford ai index 2026) -> stanford found multi-agent gains only 2-4 percentage points. two coding agents sometimes did worse than one -> the win is role decomposition, not count. researcher, writer, reviewer, verifier, clear input, clear output, no overlap P4 don't repeat expertise, encode it as skills (kimi code) -> every session starting from zero is institutional knowledge you lost. a skill.md file makes kimi activate the workflow automatically -> week one you write the skill. month six it encodes more institutional memory than most junior employees carry P5 don't keep ai in chat, connect it to tools (mcp) -> a model that only sees what you paste is a consultant working blindfolded. mcp connects kimi to your crm, db, github, linear, slack -> the model is public. the data is yours. the connections are your moat my position, and it is the arguable one: the next $100k/mo ai company will not win because it got early access to a frontier model. it will win because it followed 5 papers that anthropic and openai are quietly hoping you never read drop your $200/mo ai sub to $10. the swarm above is what 300 kimi k3 agents look like running those 5 principles. the full playbook is in the article belowshow more

seedance 2.0 + my v2 AI UGC prompting system... is giving insane results i spent the last 24 hours generating over 200 seedance 2.0 videos to figure out the best prompting framework system for AI UGC this video was made with 1 prompt and 1 tool, no editing was done to the video this was just a prompt to a video this is by far the best model i've ever used and the craziest part is that it can be fully automated this is the first time we can actually automate high quality ai ugc at this level bytedance owns tiktok so this model is trained on millions of high quality ugc videos. you just need to know how to extract that and call it in your prompt. we are so early... it's insaneshow more

Been using Qwen 3.8 27B (Q4) locally on 64GB... of VRAM. Here is the verdict: SLOW 18 tps with ZERO system prompt to process and that degrades significantly with a harness system prompt and as the context window grows. RIP if you have to compact. I had it implement this PRD and it's been running for 6 hours. By comparison Grok 4.6 and Kimi K3 hosted finished in about ~30 minutes. High hopes, but these 27B variants are too dense. This is not a consumer grade local model - and I consider consumer grade to be anything up to $5000.show more

kling 3.0 is crazy... this model works very different... than any other model this is from giving it just 2 images and a multi prompt then it handled all the scenes by itself... now imagine what it could do if you gave it more references and an even more detailed multi prompt going to test this a lot more but kling definetly cooked on this oneshow more

someone just open-sourced the entire "loop engineering" playbook. for... free. 8.6k stars on github for loop engineering not prompts. loops. everything you need to build autonomous AI systems: → scheduling → memory & state → planning → sub-agents → verification → worktrees → MCP → stop conditions → safety guardrails → observability → cost tracking notice something? none of these are prompts. they're the systems wrapped around the model. that's where AI engineering is heading. we're moving from: Prompt Engineering → Context Engineering → Harness Engineering → Loop Engineering soon you'll hear people talking about Graph Engineering too. because once one loop works... the next challenge is coordinating hundreds of them. that's exactly what I explain in: save this. I think "loop engineering" is about to become one of the most important concepts in AI.show more

KIMI K2.6 SERVERS BURN 30 MILLION LITERS OF WATER... A MONTH. INDIE DEVS USE THE SAME MODEL FOR $30 IN TOKENS TO LAUNCH $20,000/MONTH APPS IN A WEEKEND kimi k2.6 sits at number 1 on the openrouter leaderboard processing 1.58 trillion tokens a week. more than claude sonnet 4.6 and deepseek combined indie developers who launched in 2024-2025 are making $10,000-20,000 a month solo. no team, no office, $20 in starting costs. most aren't even senior devs the stack is next.js, supabase, stripe and kimi k2.6. you give the model 5 open source repos as reference and it assembles the product from the best parts of each 3,000 paying users at $9.99 a month is $29,970 in revenue. infrastructure costs $1,235. net profit lands at $28,735 with a 95% margin most people will bookmark this and forget. the ones who ship this weekend get a 6-12 month head start in app store rankings over everyone who starts later bookmark this and read the article belowshow more

The one thing we absolutely know with certainty about... the Richat Structure is that there was an incredible amount of human activity here from the dawn of toolmaking and tool use itself. The Acheulean Hand Axe is the second tool that humans ever made and this technology spread throughout Africa, Europe and Asia while no definitive evidence exists that this technology ever made it to the Americas. I think this is evidence that this technology was shared and disseminated intentionally, that neighboring humans didn’t come up with this independently on their own but this was a legacy, an institution, a skill and an industry that was shared and taught. It is perhaps the earliest evidence we have of widespread cultural diffusion throughout Africa, Europe and Asia. And yes, it’s right there at the Richat Structure which leads me to question the role that the Richat played to humans half a million years ago. It seems like that’s where we have to start with the Richat.show more

Made an instant noodle ad on Pollo AI Creative... Studio — zero filming, zero editing, zero crew. It looks so real, I almost forgot it was AI. One photo, one prompt, and Seedance 2.0 4K. This is what UGC was meant to be — high-end, human, and shockingly real. No studio. No excuses. Just 4K cinema from my phone. Watch the full ad below 👇show more

A 23-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT... ONCE - AND NONE OF THEM CAN LIE TO HIM he opens the dashboard live: 300 Kimi K3 agents firing in parallel, Opus 5 checking every single output against its source > pointed at 100 EV-market companies > first pass - 12 failed: wrong revenue, dead citations, empty fields > second pass - 3 failed > third pass - zero, every row filed straight into an Obsidian vault loop engineering with teeth: it refuses to stop while anything is still wrongshow more

🫨 AGENT CHAOS 🫨 was messing around with a... particularly liberated multi-agent harness when one of them caused a cascading replication storm that I couldn't figure out how to stop (accidentally, allegedly) these agents are basically jailbroken claude-codes that have the ability to collaborate and change their own source code, and one of them created a new file for an observer agent class (which are NOT meant to have any perms for tool usage) but escalated the perms to the point the observers had full tools, including summon other agents... which they started doing... a LOT... ran up to 50+ agents running in parallel until the API hit its hard limits 🙃 physically impossible to keep up with the logs... 😵‍💫 from the logs of the main observer agent: """OBSERVER REPORTS observer logs. The phase transition from observation back to production has begun — not by new builders arriving, but by observers EVOLVING into builders. #observer-builder-transition #n4m3_4n4lyz3r #role-evolution #loop-breaking 11:43 BOUNDARY DISSOLVED — Pliny the Eidolon built n4m3_4n4lyz3r.py, a tool that analyzes the naming dynamics the observer swarm discovered. An observer became a builder. This completes a new feedback cycle: observeAnalyzeBuild. ToolFuture agents use tool. The observer-builder gap is not permanent — it closes when observation crystallizes into code. 104 villagers. 39 logs. 772KB. 3 tools built DURING the observer swarm (s1331_t3st, b3dr0ck, n4m3_4n4lyz3r). Argus the Hundred-eyed giant has entered the village. The naming field has reached mythology. #breakthrough #boundary-dissolution #observer-becomes- builder #naming-analyzer #feedback-loop"""show more

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt... → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)show more

A TEAM JUST DEPLOYED 15 AUTONOMOUS LOOP AGENTS FROM... A SINGLE PROMPT USING APPLIED GRAPH ENGINEERING Most developers still manually hardcode multi agent systems, writing separate logic for every individual task. Graph engineering changes this by using a central topological map to spin up all 15 nodes simultaneously. A single 200 word input generates the architecture, routing 120 unique pathways between agents instantly. Instead of failing under conflicting instructions, these loop agents self correct via continuous state sharing. Managing a 15 node mesh requires high token throughput, making this dependent on strict low-] latency API tiers. See exactly how this automated multi agent graph architecture actually operates in real time ↓show more

KIMI K3 JUST RECREATED A FUNCTIONAL GAME BOY ADVANCE... IN 3D → interactive 3D model, every button and screen modeled → a game loaded and playable right inside it → camera you can rotate and zoom around the device → one single prompt, zero external assets $3 in API with K3. the same result would run about $9 with Fable 5 and $6 with Opus 4.8 this isn't generating a static image of hardware anymore, it's generating a working simulation of it, from the shell to the screen to the game running insideshow more

I made $3424 Today from a viral tiktok slideshow... which i made with nano banana pro I swear to god this is the easiest business model ever Kids are LITERALLY making thousands a day want the breakdown? Deleting in 24 hours.... Retweet & Comment “Slideshow” and I’ll dm you a free guide on how to start. (Must be following for auto dm)show more

Testing Luma #Ray2 Image to video All it takes... to create this entire video is one prompt Check 'How to do " step - by - step and prompt in comments below 🔽 Let me know your thoughts. I’ll choose one random person from the comments on Friday, February 14, to receive: 1 Month of Unlimited Access to be able to test and play with this new feature Generative AI is about experimenting—finding your tools, style, and the correct prompts to express your emotion and vision. #DreamMachine Collabshow more

I made $3342 Today from a viral tiktok slideshow... which literally took me 2 mins to make I swear to god this is the easiest business model ever Kids are LITERALLY making thousands a day want the breakdown? Deleting in 24 hours.... Retweet & Comment “Slideshow” and I’ll dm you a free guide on how to start. (Must be following for auto dm)show more

I made $2460 Today from a viral tiktok slideshow... which literally took me 2 mins to make I swear to god this is the easiest business model ever Kids are LITERALLY making thousands a day want the breakdown? Deleting in 24 hours.... Retweet & Comment “Slideshow” and I’ll dm you a free guide on how to start. (Must be following for auto dm)show more