pod-save-state

To save mid-research progress, a thesis checkpoint captures your working summary, decisions, remaining work, and open questions in a timestamped file. This allows you to pause research and resume the same thesis later without losing context.

A thesis checkpoint is a saved state of your mid-research session that records your working summary and open questions. You need one when pausing market diligence to ensure you can recover decisions and remaining work upon resuming.

Creating an audit trail involves writing a checkpoint file and appending a completion event to the timeline. This records session context and optionally logs substantive learnings for future reuse within your research workflow.

Checkpointing a thesis is non-destructive by design. It captures your working state in a new collision-safe file and appends timeline events without modifying any existing thesis or research files.

Yes, you can route checkpoints using optional per-workspace routing injection. This allows automation when saving a mid-research session by directing the checkpoint file to a specified workspace directory.

When saving a checkpoint, the process optionally logs substantive learnings via a learnings log. It appends a timeline event and prompts you to confirm what learnings to capture for future thesis reuse.