Prepare your solver diagnosis
Describe the problem and the evidence you have. Build a review brief locally, then choose what to share.
No file upload. Keep private code, data and credentials on your machine.
Run on your machine
Download the pilot kit. Connect your own local Python adapter, baseline and scorer.
Local quickstart
Commands shown with placeholder paths.
node sublate/cli.mjs doctor --project ./project node sublate/cli.mjs run --project ./project --out ./runs/baseline node sublate/cli.mjs propose --project ./project --out ./runs/proposal
Put project.json in a prepared project directory. See the kit README for setup and macOS platform requirements. The runner uses the Python standard library.
External AI: off by default
Baseline runs locally. Proposal generation needs an explicit opt-in in your local config. Your Claude key stays on your machine; this page uploads no key or project.
Inspect the requested disclosure before enabling AI: provider, model, task text and permitted files. The optional Anthropic connector requires your key and a budget. No live paid API call has been verified.
You control the next step
The intake brief is a planning record. Local execution and any external AI request require separate choices on your machine. Both approvals stay false in exported JSON.