AI Project Execution

WorkJinn: from goal to completion

WorkJinn is a local AI execution lane for real projects. It creates a working goal, builds an expert board, runs action cycles, validates evidence, and continues with the right cadence until the project is complete.

The system is designed around A-Z workflow execution: plan a target, route actions, execute, validate, review, and hand off with completion artifacts.

Goal → Board → Cycle Built-in error recovery Long-task stability Project autopilot
Download WorkJinn Version file Current version: loading... WorkJinn AI project execution visualization
WorkJinn visualizes the complete A-Z project flow from goal to completion.

WorkJinn A-Z

Long history safety and single-stable prompts

WorkJinn is built to work where single-shot prompts repeatedly lose context over long chat histories. It keeps execution continuity by using cycle-driven state and checkpoint-like evidence, instead of depending on one huge, fragile conversation.

PS C:\WorkJinn> .\WorkJinn.exe --route task --goal "Refactor old PB parser for stage 2" --provider KIMI Output: board created Output: cycle 1 complete Output: cycle 2 complete Output: validation PASS Output: completion written

This model is practical when model context windows are limited: the runtime keeps operational state in artifacts, not just the raw chat buffer.

Keep an AI working on a project

Autopilot mode

Runs bounded cycles until all project tasks are closed and locks are released.

Provider safety

Supports live provider lanes that are already proven locally, including KIMI and LM Studio in this V1 scope.

Operator continuity

Runs from your project workspace and keeps repeatable evidence for continuation after restarts.

Get started

Download WorkJinn Read workjinn-readme Business and team use