Jev and Picsart automate an upload queue across 400+ channels
A seven-step walkthrough for using Jev to make clip, caption and posting decisions while Picsart executes them, covering the API key, cloning the router, shadow mode and confidence thresholds for auto-posting.
Jev + @Picsart is the first content system that actually automates my whole upload queue 99% of people still burn a full model call on every posting decision - the 1% running this pay cents instead 6 minutes and the queue is wired: clip → Picsart worker → Jev decision → Picsart execution → posted step 1 → create a Jev API key (typesafe website) step 2 → clone the upload router from Github below, then: python3 -m venv .venv && .venv/bin/pip install -r requirements.txt && cp config.example.yaml config.yaml step 3 → export TYPESAFE_API_KEY='YOUR_KEY' - add it to your shell profile so it survives a restart step 4 → point skill/jev-upload-router.SKILL.md at src/router.py + templates/ - Jev returns the winning clip/caption, the router fires the upload step 5 → test one channel first: .venv/bin/python -m src.cli '{"goal":"cut and caption clip_014.mp4","kind":"upload"}' step 6 → shadow mode for 20-50 uploads, promote only channels where Jev's picks match reality step 7 → go active with confidence gates: ≥0.80 posts itself, 0.50-0.79 needs one tap, <0.50 skips running this across 400+ channels now - closest thing to a content team that never sleeps clone the router below, then read the full Jev + Picsart architecture ↓
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