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.
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.
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.