Jev Founder, Diogo Almeida, just released a 12-page PDF on how to use Jev with LLMs It is more useful than most paid AI courses: this is a 10-step blueprint on how to build a faster, cheaper and more controllable AI system around Claude, Codex, Grok or any other LLM: step 1 → split the responsibilities: the LLM generates, Jev makes bounded semantic decisions and deterministic code keeps authority step 2 → build the state: give Jev the current request, relevant evidence, policy and proposed action instead of sending the entire conversation step 3 → choose the right primitive: Choice selects a route, Score evaluates an ordered rubric and Noul returns the probability that a statement is true step 4 → replace giant evaluation prompts with atomic questions: intent, urgency, evidence, risk and scope become separate typed decisions step 5 → put Jev before the LLM: select the context, tools, provider and workflow before paying for an expensive generative call step 6 → give the LLM a bounded job: once Jev selects the route, the model receives only the instructions, files and tools required for that branch step 7 → put Jev after the LLM: check whether the result answers the request, uses sufficient evidence and stays inside the permitted scope step 8 → route by confidence: high-confidence low-risk cases proceed automatically, uncertain cases request more context and consequential actions go to review step 9 → batch independent decisions: ask multiple Choice, Score and Noul questions over one shared state instead of creating another LLM call for every judgment step 10 → record the complete decision receipt: state version, question, probabilities, selected route, model, latency, outcome and human override most AI courses teach you how to write a bigger prompt this 12-page guide teaches you how to build the control system around every prompt the result: smaller contexts, fewer unnecessary LLM calls, safer tool execution and decisions you can actually inspect, test and improve Send this PDF and the original Jev article to Claude Code or Codex and start rebuilding one expensive LLM decision at a time ↓

Anthropic CEO Dario Amodei: "Some early companies got Mythos and told us this is a super weapon, please don't release it" On leaving OpenAI: "When you can't trust someone, and their values don't match what they say, it becomes very hard to stay" Boris Cherny, head of Claude Code: "90% of code at Anthropic is written by Claude, a lot of Claude Code is written by Claude Code" Then Dario says the quiet part even louder: 10–25% odds of civilizational collapse from AI 47 minutes Free Dario, Daniela, Boris Probably the deepest look inside Anthropic ever filmed Mythos Claude Code OpenAI split Superweapon models 90% AI-written code Bookmark it and watch ↓

Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup

This girl turned a $20 Claude plan into a YouTube channel making $30,000/month No face No camera No editor No studio Just one workflow: Claude writes the script AI reads the voiceover CapCut builds the video YouTube pushes the winner The real trick is volume Most people post 5 videos and quit He says it takes 20-30 uploads before the algorithm finds a format that works One winning format can turn into $30k/month Save this before everyone realizes YouTube automation is just prompts, volume, and patience

This 26-year-old in Singapore pulled $268K from Polymarket in 9 weeks copying one wallet he found at 4 AM. No edge. No model. No insider feed. Just Claude Opus 4.7, Mac Mini and wallet he stalked for 73 days straight He didn't predict elections. He didn't trade sports. He didn't touch crypto markets. He mirrored a single address that closes 91% of its positions in the green Profile: 3,000+ trades. $1M in cumulative PnL. Win rate that shouldn't exist. Claude pings him the second he opens a position The Mac Mini fires the same bet within 8 seconds He doesn't know what the market is about. He doesn't read the question. He doesn't care who's winning. He just copies the wallet and closes when it closes $20 Claude sub. One Mac Mini. One wallet doing all the thinking. His friends are still backtesting strategies. He's already up $268,000 Save this and try setup yourself

People are paying $300/month to learn AI from courses that teach them to copy-paste code Meanwhile the companies that actually build AI are giving the same training away for free: → Anthropic academy - 16 courses, real certs → Openai academy - workshops from the team that built chatgpt → Google AI cert - 7 modules → Karpathy nn-zero-to-hero - neural nets from scratch → Microsoft generative-ai-for-beginners - 95K stars on github 14 weeks. $0. job-ready. The people who learn AI in 2026 won't be the ones who bookmarked 50 articles. They'll be the ones who opened a terminal tonight. Full roadmap below.

This 26-year-old in Singapore pulled $268K from Polymarket in 9 weeks copying one wallet he found at 4 AM. No edge. No model. No insider feed. Just Claude Opus 4.7, Mac Mini and wallet he stalked for 73 days straight He didn't predict elections. He didn't trade sports. He didn't touch crypto markets. He mirrored a single address that closes 91% of its positions in the green Profile: 3,000+ trades. $1M in cumulative PnL. Win rate that shouldn't exist. Claude pings him the second he opens a position The Mac Mini fires the same bet within 8 seconds He doesn't know what the market is about. He doesn't read the question. He doesn't care who's winning. He just copies the wallet and closes when it closes $20 Claude sub. One Mac Mini. One wallet doing all the thinking. His friends are still backtesting strategies. He's already up $268,000 Save this and try setup yourself

People are paying $300/month to learn AI from courses that teach them to copy-paste code Meanwhile the companies that actually build AI are giving the same training away for free: → Anthropic academy - 16 courses, real certs → Openai academy - workshops from the team that built chatgpt → Google AI cert - 7 modules → Karpathy nn-zero-to-hero - neural nets from scratch → Microsoft generative-ai-for-beginners - 95K stars on github 14 weeks. $0. job-ready. The people who learn AI in 2026 won't be the ones who bookmarked 50 articles. They'll be the ones who opened a terminal tonight. Full roadmap below.

This guy turned $400 into $214,000 on Polymarket in 7 weeks without ever checking a chart. This guy, sitting in a dark studio apartment in Tallinn with three Mac Minis stacked on a IKEA shelf and a single 27" monitor showing nothing but rows of green and red dots. The timestamp in his screen recording jumps from 01:14 to 04:38 without a single mouse movement. He's not trading elections. He's not touching sports markets. He's hunting mispriced YES/NO pairs on Polymarket's low-liquidity questions - the ones with under $8K total volume that nobody watches. Profile: 3,847 markets touched. $2.1 million in cumulative volume. Hold time per position: 4 minutes 12 seconds average. Profit in 49 days: $214,300. The trick is, he doesn't have an opinion on any of these markets. He doesn't know if the SEC will approve the ETF. He doesn't know if Drake drops the album. He doesn't care. He just lets Claude scan every new market that opens, flags the ones where YES + NO ≠ $1.00, and fires both legs the second the gap crosses 3 cents. Pure spread capture. No thesis. No news. No Twitter. The Mac Minis run a Python loop 24/7. He just walks over, glances at the green column, refills his coffee, and goes back to bed. One guy. Three $599 boxes. $214K in 7 weeks.

This guy turned $400 into $214,000 on Polymarket in 7 weeks without ever checking a chart. This guy, sitting in a dark studio apartment in Tallinn with three Mac Minis stacked on a IKEA shelf and a single 27" monitor showing nothing but rows of green and red dots. The timestamp in his screen recording jumps from 01:14 to 04:38 without a single mouse movement. He's not trading elections. He's not touching sports markets. He's hunting mispriced YES/NO pairs on Polymarket's low-liquidity questions - the ones with under $8K total volume that nobody watches. Profile: 3,847 markets touched. $2.1 million in cumulative volume. Hold time per position: 4 minutes 12 seconds average. Profit in 49 days: $214,300. The trick is, he doesn't have an opinion on any of these markets. He doesn't know if the SEC will approve the ETF. He doesn't know if Drake drops the album. He doesn't care. He just lets Claude scan every new market that opens, flags the ones where YES + NO ≠ $1.00, and fires both legs the second the gap crosses 3 cents. Pure spread capture. No thesis. No news. No Twitter. The Mac Minis run a Python loop 24/7. He just walks over, glances at the green column, refills his coffee, and goes back to bed. One guy. Three $599 boxes. $214K in 7 weeks.

A 17-year-old in Austin pulls $24,400 every month from a Minecraft YouTube channel That he edits without touching a single frame He records 4-hour Minecraft letsplays, drops the raw footage into Premiere Pro 2026, and the AI cuts it into a finished video in 2-3 minutes He never opens the timeline. He never scrubs. He never sets a keyframe Claude writes the script before he records. Claude writes the title, tags and description after. Claude reads the YouTube Studio analytics every Monday and tells him exactly which letsplay to record next The whole stack costs $43 a month 11 weeks ago the channel was empty Week 4: first $800 Week 8: $7,200 Week 12: $24,400 Week 16 on pace for $40,000 From a phone, a laptop and 5 saved prompts He's already replicating the system in two more gaming niches at the same time What used to need a 6-person studio now runs on one guy, one Claude tab and one Premiere license Save it and try it yourself

A 17-year-old in Austin pulls $24,400 every month from a Minecraft YouTube channel That he edits without touching a single frame He records 4-hour Minecraft letsplays, drops the raw footage into Premiere Pro 2026, and the AI cuts it into a finished video in 2-3 minutes He never opens the timeline. He never scrubs. He never sets a keyframe Claude writes the script before he records. Claude writes the title, tags and description after. Claude reads the YouTube Studio analytics every Monday and tells him exactly which letsplay to record next The whole stack costs $43 a month 11 weeks ago the channel was empty Week 4: first $800 Week 8: $7,200 Week 12: $24,400 Week 16 on pace for $40,000 From a phone, a laptop and 5 saved prompts He's already replicating the system in two more gaming niches at the same time What used to need a 6-person studio now runs on one guy, one Claude tab and one Premiere license Save it and try it yourself

A 23-year-old in Shenzhen pulled $67,800 last month from Polymarket He doesn't trade He doesn't watch charts He doesn't size positions He doesn't even check PnL Three Mac Minis stacked on a desk in his Kowloon apartment Claude Opus 4.7 sub running a wallet-classifier he trained over 4 weekends The system monitors 14,000 Polymarket wallets Mirrors the top 13%, submits on whichever account has free margin Average hold: 1.6 days, win rate: 79% Check porifle: Last night while he slept it closed 600+ trades February: $9K → March: $24K → April: $67.8K → May on pace for $128K We are 13 days in He doesn't watch the screens. They're decoration. "Jim Simons ran the greatest quant fund in history. 30 years. PhDs. $66 billion AUM. He never had access to Polymarket. I do." This morning on camera: "Just woke up. Wins. Wins. Wins. Bot copies wallets that exit at 91% of max move. I'm headed to dim sum." Then he put the phone down Asleep and trading, awake and dim sum Save it and try to copy him

Ever caught a take so early it felt illegal? "People are sleeping on HIP 4. hard" "The Hyperliquid team has serious capital, serious money, serious plans - you gotta bet on them, honestly" "And here's the kicker - Polymarket is copying Hyperliquid specifically for that reason" "The unstoppable force nobody wants to name" episode 3 on PredictTime - @tre_poh x @predicttime_ The ones who hear it first are the ones who position first. Everyone else just reads about it later.

A 23-year-old in Shenzhen pulled $67,800 last month from Polymarket He doesn't trade He doesn't watch charts He doesn't size positions He doesn't even check PnL Three Mac Minis stacked on a desk in his Kowloon apartment Claude Opus 4.7 sub running a wallet-classifier he trained over 4 weekends The system monitors 14,000 Polymarket wallets Mirrors the top 13%, submits on whichever account has free margin Average hold: 1.6 days, win rate: 79% Check porifle: Last night while he slept it closed 600+ trades February: $9K → March: $24K → April: $67.8K → May on pace for $128K We are 13 days in He doesn't watch the screens. They're decoration. "Jim Simons ran the greatest quant fund in history. 30 years. PhDs. $66 billion AUM. He never had access to Polymarket. I do." This morning on camera: "Just woke up. Wins. Wins. Wins. Bot copies wallets that exit at 91% of max move. I'm headed to dim sum." Then he put the phone down Asleep and trading, awake and dim sum Save it and try to copy him

A 20-year-old girl makes $15,000/month from a faceless AI YouTube channel she started 4 months ago She picked a finance niche with a $20 RPM, fed it into Claude to break down the top channel in the space and built her own Clean voiceover, sharp B-roll, hook in the first 6 seconds It took her 75 minutes to set up the first video using $20 on Claude for scripts and metadata and ElevenLabs for the voice Uploaded weekly at first, views climbed slowly Algorithm finally picked it up at video 24 Month 1: $0 Month 2: $400 Month 3: $3,200 Month 4: $15,000 From one channel Now she's building a second finance channel and a third in tech, on track for $40,000/month, fully automated She never appears on camera, didn't record a single clip herself and the system handles scripts, voiceovers, thumbnails and metadata automatically One person, a Claude sub and free tools now generate what used to take full production teams

A 20-year-old girl makes $15,000/month from a faceless AI YouTube channel she started 4 months ago She picked a finance niche with a $20 RPM, fed it into Claude to break down the top channel in the space and built her own Clean voiceover, sharp B-roll, hook in the first 6 seconds It took her 75 minutes to set up the first video using $20 on Claude for scripts and metadata and ElevenLabs for the voice Uploaded weekly at first, views climbed slowly Algorithm finally picked it up at video 24 Month 1: $0 Month 2: $400 Month 3: $3,200 Month 4: $15,000 From one channel Now she's building a second finance channel and a third in tech, on track for $40,000/month, fully automated She never appears on camera, didn't record a single clip herself and the system handles scripts, voiceovers, thumbnails and metadata automatically One person, a Claude sub and free tools now generate what used to take full production teams

A CHINESE GUY JUST OUT-CODED EVERY QUANT INTERN AT JANE STREET Not with a hedge fund Not with a Bloomberg terminal With Python, scikit-learn, and a Mac Mini in his bedroom A friend forwarded me his screen recording at 2am The kid is running ml_strategy.py on a fresh terminal Accuracy on the output: 57% If you don't trade, that number looks like a coin flip If you do, you just sat up in your chair > Casinos run the entire planet on a 51% house edge > Renaissance Technologies built a $130 billion fund on 50.75% > This guy is sitting on 57% on a script he wrote himself Here's how he got there He doesn't use RSI. He doesn't use return lags. He doesn't use any of the indicators every $200/mo Telegram channel sells you. He uses three boring features the algos at the top desks actually use: > volatility > momentum > z-score That's it. That's the whole signal stack. He pipes them through logistic regression and a random forest, votes them against each other and only takes the trade when both agree. Walk-forward Sharpe lower than the static one - and the script prints that out loud. No grifter on this app does that. Ever. He runs the whole thing on a single Mac Mini. No GPU. No cloud. No paid data feed. Just yfinance, scikit-learn and a coffee mug next to the keyboard. The recording cuts to the trade log. 93 trades last month. 54 winners. 39 losers. Net up. Calmly. Quietly. Like a machine. Bookmark it before the alpha closes.

A 24-year-old guy in Hong Kong pulled $620,000 out of Polymarket and Hyperliquid last month. He doesn't trade. He doesn't watch charts. He doesn't size positions. He doesn't even check PnL. Three Mac Minis stacked on a wooden shelf in his Kowloon apartment. Each one a separate node in the same pipeline. An agent he built in five weekends using Claude Opus 4.7 and 9 open-source repos pulled straight from GitHub. The agent tracks 120+ markets. Hyperliquid perps and Polymarket events. It hunts mispriced probabilities, classifies every wallet on Polygon as fade or copy, sizes the bet with half-Kelly, fires whichever venue has better edge. 76% win rate. 9-second average hold. Closed 1,840 trades while he was at dim sum yesterday. February: $268,000 March: $410,000 April: $620,000 May: $740,000 on track It's the 12th of the month. He doesn't look at the screens - the Mac Minis just hum in the corner. The only thing he checks once a day is the USDC withdrawal queue from Polymarket to the Hyperliquid vault. This morning he opened the blinds, looked at the camera: "Slept 9 hours. Bot didn't. I'm going to lunch." He closed the door. Meanwhile people are still buying $200/mo Telegram signals. The kid didn't apply to Jane Street. He gave five weekends to Claude Opus 4.7 and 9 GitHub repos. It works while you sleep. Bookmark this.