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

20 best ways to use Jev in marketing lead scoring. ad copy selection. creator matching. support routing i put together 20 practical use cases for marketers. save this playbook, pick a task to automate and explore all 20 examples in the video below ↓

THEY BUILT A FREE VIDEO GENERATOR FOR TIKTOK, AND IT ALREADY HAS 124K STARS ON GITHUB You pay freelancers to edit, a subscription for voiceover, and extra for stock footage. A group of devs got fed up and built a pipeline that does all of it by itself. It's called MoneyPrinterTurbo. Here's everything: You give it a topic or a keyword. It writes the script, records the voiceover, picks the footage, adds subtitles and edits. The idea: the whole path from idea to finished video in one run. No editor, no subscriptions, no watermarks. What it does: → Vertical 1080×1920, landscape and square → Edge TTS for the voiceover, free and no API key → Stock footage from Pexels and Pixabay, also free → Publishes straight to TikTok, Instagram and YouTube Shorts → MIT license: do whatever you want with it How to install it: → Clone the repo from GitHub → Install Python 3.11 → Run the WebUI, there's also an API and a CLI → No GPU needed, four cores is enough This is exactly what faceless channels pay contractors for every month. Link below👇

i honestly don't get why people still wait for a clip to hit a million before they remake it the missing layer isn't another video model. it's jev engineering: typed decisions on a live cohort, then a remake only after the lock i run that over tiktok, ig and shorts. jev answers three questions. picsart + seedance 2.5 builds the 9:16 while the 48h clock is still running one video that lands pays $500–$900 from monetization. a good month is 18-20 of those. last stretch: 19 videos, $17,400. a slow one is closer to $14,800. that's $15k-$20k the idea is simple: jev picks. the farm publishes. you stop remaking by vibe what jev decides: → remake / watch / reject - a Choice, not a paragraph → how clean the mechanic is - a Score on the action, not the view count → whether independent creators are already repeating it - a Noul, not a gut feel → the journal still writes every reading with a timestamp. jev never sees a future number → nothing generates until those three answers are locked. stills already running. seedance 9:16 last copy this today: > take 20 uploads, 6-24 hours old, one platform > two readings, three hours apart > send jev the passport, not the whole internet: platform, age, growth, hook, actions > lock only the remakes. keep the action, change the world > fruit house → coffee bean. seal in a tube → jade dragon. package → bed. chair and a sedan → girl and a lambo > at 48 hours score the forecast and the remake money in different ledgers the catch: jev cannot invent a better option than the ones you listed. a source that already works is not a promise your remake will. the originals in the article did 10.8m. that number is theirs. $500 on a clip is not $16k until the 18th one clears the people doing this don't post about it. their jev already has the freeze. yours still opens tiktok and guesses one decision layer. six lines. after that you stop remaking yesterday's hit the whole pipeline + the forecast journal is in the article below

🚨 I STOPPED COMING UP WITH VIDEO IDEAS - IT MADE ME $15,340 LAST MONTH left: original video right: 100% AI video. i didn't write a single prompt by hand One 12K-view clip I rebuilt this way is sitting at 9.4 million There's no prompt behind it. There's a folder and six roles: 1. Scout pulls candidates and writes down where every metric came from. If a number has no source, the field stays "unknown." 2. Forecaster calls it before the result exists - 20 candidates, 3 picked at T0, locked in a dated journal the process forbids rewriting afterward. 3. Director turns the mechanic into its own story, character and shot list. Never the original footage. Output is a storyboard and the full prompt pack. 4. Producer runs the Picsart CLI and saves the model, parameters, reference links, job IDs and every error right next to the file. 5. Reviewer checks the key action frame by frame and sends it back with a reason: "crack appeared before the strike." "dragon formed separately from the gel." "bed was already open in frame one." 6. Analyst ties each published variant to its numbers and updates the library. Every frame and every clip in that pipeline comes out of Picsart. One CLI, one manifest, nothing generated outside it - which is the only reason the roles can hand work to each other at all. The states are the discipline: RESEARCHED → SCRIPTED → STILLS_APPROVED → RENDERED → REVIEWED → READY → PUBLISHED → MEASURED Two to three hours to stand it up. Tools run $59 a month. $15,340 last month, counted on accepted orders after the failed generations. The secret wasn't a better prompt. It was shared files instead of chat memory - every accepted frame points back to the prompt and the references that made it. Most creators keep the whole pipeline in one chat window. This one keeps it in a folder that survives the session. Every prompt, all six role briefs and the review log are in the article below. bookmark it - the prompt pack is the part you'll actually reuse.

I turned astra-6 and picsart into a money-making business doing $20k a month I put together 15 prompts for GPT-6 Astra - from spotting early signals to building a content factory with Picsart. Three stages: FIND → CREATE → SCALE. Give your agent the reference videos and real data, connect Picsart CLI, and work through the prompts in order. 5 PROMPTS: SPOT EARLY SIGNALS 1. Collect 20 recent videos in one niche. Save their URLs, publication times, view counts, and observation timestamps. Flag missing data. 2. Calculate view growth rates from repeated observations. Identify videos gaining momentum, even if their total view counts are still low. 3. Compare candidates with their creators’ typical performance at the same time since publication. Use actual historical measurements. 4. Break down the opening frame, action, reveal, and ending. Explain which mechanism could inspire an original concept. 5. Select three candidates for the next 48 hours. Record your predictions in advance, then compare the results with the full cohort and a simple ranking by recent view growth. 5 PROMPTS: CREATE YOUR OWN VIDEO 6. Propose three original concepts based on the selected reference’s mechanism. Preserve the action sequence, but change the subject, setting, and visual design. 7. Describe the character, materials, lighting, scale, and camera. Specify which details must stay consistent. 8. Choose the smallest useful set of reference images: one starting frame or several scene states. Explain what each image controls. 9. Check the available Picsart CLI models. Generate the starting images within the agreed budget and present them for review before animation. 10. Describe the motion second by second. Once the images are approved, generate the video and save the exact prompt, settings, and generation ID. 5 PROMPTS: BUILD A CONTENT FACTORY 11. Inspect the beginning, middle, and end of the clip. Propose a specific fix for each action or continuity error. 12. Divide the workflow into six roles: Scout, Forecaster, Director, Producer, Reviewer, and Analyst. Define what each receives and hands off. 13. Create a project folder containing references, prompts, settings, finished files, and reasons for rejected outputs. Make the workflow resumable after a failure. 14. Prepare a recurring workflow with a spending cap, limited retries, and a review before publication. Identify which integrations still need to be configured. 15. Prepare three variations of an approved concept, changing one variable at a time. After publication, compare performance, production costs, and time spent. The full article includes all three reference videos, our recreations, and 11 exact image and video prompts You'll also get a step-by-step method for testing early predictions. That method still needs validation Pick one reference. Run the workflow. Watch the results and get the full breakdown below ↓

nah what is this app doing 😭🥀 clipping just got 100x easier you hand one agent a podcast up to an hour long and it hands you back 20 to 30 vertical clips - cut at the natural pauses, captions already burned in, reframed so the face stays centred, and dubbed into 30+ languages in the speaker's own voice. 20 thumbnails per clip to A/B test. a two-week posting schedule to drip them out. this is Picsart. the app your little sister had in 2017. €7 a month. this is actually insane.

this is the first time one of those “we should catch up soon” messages actually turned into plans I sent Rene the times he was free and it found a slot in my schedule lunch is booked for Saturday at 2

THIS IS INSANE The team behind browser-use (114,824 stars on GitHub) has just released a free video editor that runs inside Claude Code. it's already at 24,978 stars. the whole repo is 21 commits. the trick: the model never watches your video. one call turns every clip into word-level timestamped text, and it cuts on word boundaries like it's editing a document. how to set it up (one paste): 1. clone the repo, symlink it into your agent's skills folder. 2. uv sync, brew install ffmpeg, put an ElevenLabs key in .env. 3. drop your raw clips in a folder, open Claude Code, say "edit these into a launch video". it cuts the filler words, colour grades, burns the subtitles and reviews its own render before it shows you anything. Descript is $35/month for 30 media hours. the transcription this runs on is $0.22/hour - same 30 hours, $6.60. save this post. I'll leave the repo below.