Insights
Founder and builder perspectives on AI tools, thinking patterns, and the new way of working
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Context GC: fast-jev-compaction, Winnow and the Pruning Pattern
Two open-source tools use Jev to decide which old tool output an agent can forget, keeping originals verbatim. How the pruning pattern works and where it can go wrong.
How to Evaluate Jev Projects Honestly: A Checklist for the Radar
166 projects use Jev, and most are tiny and unbenchmarked. Here is how to read pinned vs unreviewed entries, star counts and author-tested claims before you adopt one.
Jev-Powered Browser and Desktop Agents: What the Repos Show
jev-desktop, mobile-jev, jev-voice-browser and ego-jev use Jev to pick the next UI action. Here is what each README proves, what it discloses, and where it stops.
Jev for Search and Data: pg-jev, llama-index-jev and jev-curate
Semantic filters inside SQL, a LlamaIndex reranker and router, and a dataset sifter: three Jev projects that put typed decisions into data pipelines, with their real limits.
Guardrails With a Decision Model: jev-guard, jev-mcp, Safer with Jev
Typed probabilities make cheap guardrails possible: injection screens, risk scores on tool calls, gateways. What jev-guard and Safer with Jev show, and what they don't.
Jev Review: Code Review Triage With Scored Dimensions
Scores, not prose: how two Jev Review tools, a GitHub Action and a flash-review engine turn code review into typed signals a coding agent can act on.
Jev-Ultrafast: Splitting Browser Decisions From Text Generation
browser-use's jev-ultrafast lets Jev pick the next DOM action while a small model types. The author test shows 9.45s to 7.09s, from three run pairs. Here is what that does and doesn't show.
Real-Time Jev Loops: Games, Driving Sims and Trading Bots
jevpilot, jev-gomoku, jevarena and two trading repos push Jev into tight decision loops. What they demonstrate, what they don't prove, and why trading needs extra care.
Routing by Difficulty: Jev Codex Router, JevRouter and hono-jev-router
Three open-source routers use Jev to decide where a request goes. One reports a 60% list-price saving from a replay of 237 turns. The fine print matters as much as the number.
Pathfinding Without Vector Indexes: Blink and neo4jev
Blink walks file trees and neo4jev walks Neo4j graphs by asking Jev which branch to take next. How index-free navigation works, and what the demos do not prove.
The Cheating Numbers Behind ChatGPT for Teachers
A Study.com survey found over a quarter of teachers have caught a student cheating with ChatGPT. Here's what that number actually measures — and what it doesn't.
Typed Decisions vs Free Text: Why Agents Need a Decision Layer
Agents parse free text to make routing and gating calls. A typed decision layer returns a choice plus probabilities instead. See how two small Jev projects show the difference.