Here's how the full breakdown on my local machine

Jev is a super fast video editor! Edited this entire video in less than a minute, and here's how: First, I transcribed raw vid locally with word timestamps, cut it into 16 beats, then asked Jev these seven questions about every beat: does this line need a visual at all? which card template? (18 to pick from, premade) which text effect? which transition into it? how hard do we punch in on the face? which sound effect? which word gets emphasised? Plus five about the video as a whole. Style, colour, caption treatment, energy, progress bar. 117 questions answered by jev < 1 s ~ $0.0017 Using @typesafeai via @LiteLLM

Jev is definitely insane! What if you could just point and build a website? Uses json-render @ctatedev @LiteLLM gateway to call Jev

Doc-OCR router using Jev @typesafeai A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally. Result: save cost on # OCR pages + speed

TIL - Noul If you are gonna be using Jev, you might hear this too.

41 common ai slop patterns from ai writing remove it with this one skill. @LiteLLM for multiple reviewers

A gift for your agents... (in case if you missed) github.com/misbahsy/anti-ai-…

anti-ai-slop: a 4 staged skill to remove any AI slop from your codex/cc writing. catches 41 different slop patterns: • ~120 ai words, ~100 phrases • em dashes, emoji bullets, title case headings • watermarks, negative parallelism, colon reveals, throat-clearing openers 4 gates: 1. sanitize invisible chars 2. remove common ai words/chars 3. an agent reviews original vs rewrite, loops back for failed reviews 4. optional: a parallel agent uses a different model to generate additional review + score Works with any of your AI agents.

Embedded Evaluators - The hottest job in tech rn!

Phew… Finally Gemini and XAI can catch up now