autoresearch

You can automate a persistent research loop by configuring a stateful workflow that maintains continuous processing across sessions and applies validation modes to check outputs until success criteria are met.

Stateful research automation is a process that maintains a continuous research workflow persisting across sessions, enabling iterative model evaluation and data validation without losing progress.

Yes, research workflows support selecting between script-based and prompt-based validation modes at initialization, allowing you to verify artifacts using your preferred validation regime.

Artifact-based completion in automated research loops works by continuously nudging the process until explicit validation criteria are met, finalizing the workflow only when generated artifacts pass validation.

You need configurable validation control for iterative model evaluation when running ongoing data validation or model experiments that require explicit success conditions and continuous nudging before completion.

Stateful research automation loops require explicit validation criteria to terminate, meaning workflows will continuously nudge indefinitely if success conditions are poorly defined or unreachable.