Autonomous ML research loop
{PROJECT_NAME}-autoresearchworkflowsetup L3★7
ACautomata/autoresearch-bootstrap ↗What it does
Autonomous ML research loop for {PROJECT_NAME}
Best for
Use when workflow operations need {PROJECT_NAME} autoresearch.
Inputs
- · args object with workflow parameters
Outputs
- · structured JSON with findings or results
Preconditions
Valid args; agent dispatch configured; schema validation enabled
Failure modes
- · Invalid or missing args
- · Agent dispatch error
- · Schema validation failure
- · Token budget exceeded
- · Barrier/gate failure
Trust signals
- · Structured output schemas
- · Multi-phase barriers
- · Adversarial verification
- · Specialized agent lenses