session-handover

To preserve AI session context for a task handoff, you need to generate a structured handoff document capturing execution state, blockers, and decisions before the session ends. This ensures continuity and a clean transition for the next assistant.

Task traceability across AI assistants is managed by validating completed tasks in TODO.md and updating a structured handoff.md file. This tracks recent activity and provides a deterministic workflow with a concise next-step summary.

To document blockers and memory of decisions before ending an AI workflow, analyze the current state and generate a handoff document. This file records Last Action, Current Blockers, Contextual Memory, and the Next Atomic Step for future reference.

No specific dependencies are required to create a session handoff document for your AI workflow. The process works by analyzing current session activity and writing structured context directly to standard markdown tracking files.

Yes, you can use automated handoffs to maintain a deterministic workflow for project development. Applying a handover at session end verifies task parity and saves the project state, ensuring the next AI assistant resumes work seamlessly.