Who it is forA mathematician or developer who wants to see how the AutonomousMath engine records its work before using a live backend.
The problemLive math runs need a configured backend, so it is hard to learn the artifact layout and review flow first.
The outcomeA workspace with a labeled offline demo run showing rejection, revision and saved math artifacts, with accepted set to false.
What you need first
- Python 3.10 or newer
- git, to clone the repository
- For live research only: an authenticated Codex or Claude setup and the module dependencies described in docs/getting-started.md
Steps
- Clone the repo and run
cd EARfrom the project root. - Run
python3 -m ear math run --offline --workspace workspaces/math-demo --episodes 1 - Run
python3 -m ear math status --workspace workspaces/math-demo - Open the saved artifacts in workspaces/math-demo and confirm the run is labeled offline_demo with accepted=false.
- Read autonomousmath/docs/ENGINE_DESIGN.md to map each saved artifact to its role in the review gate.
Prompt for your agent
In the repo liyingze07-svg/EffectiveAutoResearch-EAR-, run `python3 -m ear math run --offline --workspace workspaces/math-demo --episodes 1` and then `python3 -m ear math status --workspace workspaces/math-demo`. Report the status output and the saved artifact list. Verify that the run is labeled offline_demo and accepted=false before saying anything about its contents.
Caveat. The offline fixture is a demonstration only, so its output is not a completed research result and does not show what a live backend would produce.
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