What's new in 3.0
Jah 3.0 is the fastest and longest-context engine the family has ever run, and the first built for native tool use end to end.
- Four times the speed. Around 276 tokens per second on RMDW hardware, up from ~65 in Jah 2.0, with the first token back in about 40 milliseconds.
- Four times the context. A 1,048,576 token window, up from 250k. A whole repository with its history, or a full document set, held in one conversation. Verified, not assumed: a fact planted deep inside a 380,000-token prompt is retrieved correctly in about 50 seconds.
- Native tool calling, everywhere. Files, terminal, browser, macOS control, connectors, web search, and sub-agents all run through the model's own function-calling format. On our own benchmark, moving to native tools was worth 45 points of task completion.
- Verify before done. Jah is not allowed to call a coding job finished if it changed code and never ran it. The harness holds the run open until the work is proven. A model that checks its work beats a faster one that ships blind.
- Held to a frozen bar. Thirty-two fixed agentic tasks run in throwaway sandboxes with real execution. No engine ships unless it holds the floor. This gate has already caught and rejected a candidate that regressed.
Measured against Jah 2.0
The same frozen benchmark, the same harness, the same scoring. "Done" means the run finished cleanly; "verified" means it wrote code and then ran something to prove the code worked.
Table with columns: Standard set, Hard set, Avg per task | Standard set | Hard set | Avg per task |
|---|
| Jah 2.0 | 100% done / 85% verified | 100% / 100% | 20s and 81s |
| Jah 3.0 | 100% done / 90% verified | 100% / 100% | 5s and 12s |
Higher verification, and roughly seven times faster, on hardware RMDW owns.
What Jah does in production
- Private chat with artifacts, persistent memory, cited web search, and code execution.
- Builds real apps and sites. Describe it; Jah writes the project, pushes it to your own GitHub, and deploys it to a live URL you own.
- Runs the developer API. Point Claude Code, Codex, or any OpenAI/Anthropic-compatible tool at kiyomibot.ai and Jah writes and refactors code on private hardware.
- Runs on your desk. The Kiyomi macOS app drives files, terminal, and the browser as a full agentic coder, and an iPhone remote controls it from anywhere.
All of it private. Try it at kiyomibot.ai.
Built by RMDW AI Consulting. Private AI on hardware you can point at.