Account Grader for Outbound Prospecting
Piyush Patel built Account Grader with Jev to identify which 100 of 1,000 accounts are most likely to have the problem being solved.
Piyush Patel@piyushnp𝕏
Jev by @typesafeai is flying drones, playing Pac-Man, reviewing code. i think GTM engineers are going to have a lot of fun with it too. i gave Jev an outbound problem: you have 1,000 accounts. which 100 are most likely to actually have the problem you solve? built Account Grader with Jev. filters can tell you industry, headcount, funding, tech, location. that tells you what the company is. but fit
Its filters cover industry, headcount, funding, technology, and location. Patel notes that these describe what a company is, then contrasts them with fit.
Also filed under Triage & routing
- Jev-Assisted Codex Model and Effort Routing
The project provides Jev-assisted model and reasoning-effort routing for local Codex Desktop and CLI.
- Plain-English Gmail Filter Judge
The project uses Jev (TypeSafe) to judge Gmail filters written in plain English.
- Framework-Agnostic Jev Intent and Tool Router
Huzeyfe_dev built a lightweight, framework-agnostic intent and tool router using TypeSafe’s Jev decision model to speed up agent loops.
- MCP Tool Router with Jev and MCTS
Harness-router is a lightweight tool router that uses Jev for fast tool selection and Monte Carlo Tree Search for harder multi-step decisions. It uses MCP as the tool interface and falls back when routing is uncertain.