holy sh*t. Jev's founder Diogo Almeida dropped a Google Doc on coding agents one of these PDFs has the map everyone needs: where Jev sits in an agent loop ↓ agents do the work, Jev makes the calls, the LLM only writes: 1 → task in: one Noul before anything runs. in scope, or does a human need to see it first? 2 → dispatch: a Choice picks who takes the step (research, write or review). act at 0.85+, everything below goes to review 3 → act: Jev gates the tool call (allow, confirm or block). the LLM only writes the arguments 4 → check: a Score decides what comes back (drop, summary or keep). whatever Jev is unsure of goes to a human 5 → finish: Jev says done above 0.8, then code proves the file actually exists the LLM shows up in 2 of 5 stages. everything else is a typed answer, plain code or a person. don't refactor your agent. hand Jev the one fork it hits most (usually the tool gate or dispatch) and watch 3 numbers for a week: cost per completed task, time per completed task, and how often escalation fired and whether it was right. if escalation never fires, the threshold is too loose and your agent is quietly running unsupervised.

This fitness coach doesn't exist 29 seconds. 3 moves. 8M views... One Picsart CLI for all the generation + one GitHub repo (HyperFrames) for the edit. Claude Code drove both. here's the whole sequence: Day 0: Lock the character. Grey tee, dark joggers, lime wristbands. GPT-Image-2 for the concept, Nano Banana Pro for the character sheet. Same face in every shot after that. Day 1: Make the moves. Nano Banana Pro draws a keyframe per exercise, Kling v3 animates it. Squats, push-ups, plank. ~2 min per clip. Day 2: Make him talk. Eleven v3 for the voice, OmniHuman 1.5 for the lip-sync (~3–4 min per clip), Lyria for the music. Day 3: Hand it all to Claude Code. It writes the edit as code (HTML + GSAP): kinetic captions, step cards, form cues, a progress bar, the muscle map. HyperFrames, HeyGen's open-source video engine (~53k stars), renders it to MP4 in ~2 min. The next 30 days: same coach, same outfit, new moves. Nothing to sell yet. You're building a face people recognize – that's what you sell later. Then every scene becomes an ad slot. He can wear it, hold it, drink it: Jump rope → sneakers Locker-room water break → bottles, electrolytes Tying laces on the street → running shoes Breakfast → protein Boxing bag → gyms Rooftop meditation → fitness apps His outfit → sportswear The CLI makes the coach. Claude Code writes the edit. HyperFrames renders it. You sell the slot. Week 1: character + 3 routines Week 2: post daily, test hooks Week 3: keep what holds attention, cut the rest Week 4: your best clips on one page = your media kit Month 2: pitch sportswear, protein, gyms, fitness apps Month 3: same system, second coach Cost: ~235 Picsart credits all-in, rejected takes included. HyperFrames: open-source (Apache-2.0). Claude Code: your own subscription. save this and read the article below:

if you're building agents on jev, this is the most important thing you'll read all year read it, bookmark it, internalize it, read it again

JEV engineering is becoming the standard way serious teams make agents take decisions, and here is what people have already built with it. if you want to actually embed typed decisions into a system instead of forcing an LLM to improvise, copy this: fast-jev-compaction - a Claude Code plugin that replaces vague compaction summaries with JEV decisions. 6.9k stars, 415 forks, every tool call and result is evaluated in a single request, stale context is dropped or truncated, and everything that remains is kept verbatim > github.com/tamaratran/fast-j… typesafe-ai/skills - the official TypeSafe skill for Claude Code and agents through skills.sh. 2.2k stars, 124 forks, install it once and the agent starts building Choice, Score, and Noul questions instead of hiding decisions inside prompts > github.com/typesafe-ai/skill… claude-jev - a Claude Code plugin that sends code review results, debugging hypotheses, architecture options, and search results to a second JEV judge. 6 stars, 5 MCP tools, around 150 ms per response, $0.042 per million input tokens, with thresholds stored in code instead of intuition > github.com/buchmark/claude-j… jev-engineering - a gate for tool calls in Claude Code, Codex, Cursor, and any other MCP agent. 2 stars, 2 forks, allow/ask/deny in a median 371 ms at $0.0000189 per check, plus a 300-injection test that shows exactly where the gate fails > github.com/eugeniughelbur/je… jev-tree - recursive Choice for taxonomies that do not fit into one flat question. 9 stars, default fanout of 32, up to 255 options per call, while a 320-leaf incident catalog lost its entire tail when truncated by the Choice limit until tree traversal recovered it > github.com/reachjalil/jev-tr… open-jev - browser-native TypeScript, 36 stars, 8 forks, one state plus any number of typed questions, one forward pass, and no answer generation. It runs on-device through WebGPU, with WebAssembly as a fallback > github.com/nico-martin/open-… jev-trader - 2.4k stars, 462 forks, one JEV decision per Monad block, roughly every 300 ms. It reads the Kuru MON-USDC order book, chooses buy or sell, and places a post-only limit order one tick inside the touch. A dry run with a mock model shows a 100 ms p50 > github.com/jarrodwatts/jev-t… none of these repositories will make a bad question good. They simply show where the decision layer is missing: when the agent summarizes instead of preserving, approves instead of verifying, or chooses a label without a threshold full build in the article, and before giving JEV access to production, run calibration and the injection test first

this is insane THEY'RE CONNECTING DIFFERENT BLOCKCHAINS WITHOUT BRIDGES crypto bridges have already been hacked for over $3B that's why they want to cut bridges out completely, so people stop losing money it's a new blockchain that will connect ethereum, solana and other networks both people and AI agents will be able to use it it's called @WireNetwork 100% of the sale goes into liquidity pools 0% to the company i've done some more digging and I think this is without a doubt one of the most exciting LCOs this year

AN ANTHROPIC ENGINEER JUST DROPPED THE BEST TRICK FOR OPUS 5.5 Open Claude Code and type: /claude-api prompt-audit → Audits your CLAUDE.md, skills, agents and prompts → Finds the old lines that make Opus 5.5 waste tokens → Shows what to cut and why, line by line Your CLAUDE.md was written for weaker models. Opus 5.5 takes every line literally. Anthropic's own test: −9% cost, +2 pts accuracy. Save this.

send this AI film studio prompt to claude opus 5.5 it will replace your editor, your DP and your ad agency you're welcome:

he told me to never post this board i'm posting it anyway the 27 seconds were just the intro 35 nodes, 57 wires and 26 prompts just went into the flow board the full sportswear ad pipeline the match-cut master, the garment locks, the prompts everything a brand pays a studio $40K+ per shoot for 30+ ads a day come out of it now, all in Picsart don't you dare miss this

my AI woke me up at 3am with a message: "there's a $2K opportunity expiring in 40 minutes. yes or no?" i typed "yes" with one eye open 53 seconds later: episode assembled and rendered 3:06am: video live 20.1M views while i was sleeping +$2,680 from monetization here's what's running on my mac mini: 6 autonomous agents talking to each other 24/7 REFERENCE BOARD - crawls Pinterest, TikTok and trend feeds, holds a board of 2,400+ saved frames: locations, outfits, sports, beaches, camera angles, visual jokes. turns them into a finished scene description before i'm even awake CHARACTER LOCK - keeps the same capybara identical every single time: face, proportions, voice, poncho, the "ya boy Capy Papi" delivery. any frame that drifts from the reference gets rejected and reshot without me PICSART - builds the key frame: character, location, emotion, 9:16 vertical. this is the only point where it's decided whether the video is watchable, because nothing downstream asks again VEO - turns one frame into a vlog: camera movement, lipsync, footsteps on gravel, wind in the mic, a line delivered straight to the lens JEV - decides which hook, which scene and which take goes live. Picsart renders. JEV picks. i'm not involved EDIT LOOP - stitches the short clips, cuts the dead seconds, adds captions and sound, and always ends on a question: "where should Capy Papi go next?" but here's what actually matters: the account isn't trying to make one perfect AI film it's building a recognizable character one capybara one voice infinite locations Peru today football tomorrow a beach after that the pinned videos introduce the character the new videos test new worlds for him but here's the part that scares me: i found this in the agent logs last week: REFERENCE BOARD → JEV: "requesting $200/month for Pinterest Premium and stock references out of monetization revenue. reach is dropping on the current location base." JEV → REFERENCE BOARD: "approved. deducting from next distribution." they allocated their own budget they didn't ask me i found out when i saw the charge on my card i don't run this account anymore