ralph-plan

Interactive task decomposition breaks down software automation goals into structured phases with explicit approvals, generating a reproducible JSON state file that encodes tasks and acceptance criteria for implementation loops.

You generate a structured state descriptor by providing a task description to start an interactive session that gathers context across phases and outputs a JSON file encoding tasks, acceptance criteria, and iteration controls.

Yes, you can enforce phase boundaries and prevent implementation before plan completion using built-in guardrails that require explicit approvals at the end of each planning phase before allowing downstream automation execution.

Claude Code supports interactive context gathering by guiding users through phase-gated design sessions, capturing requirements interactively to produce a reproducible JSON state descriptor for automation workflows.

The best way to automate upfront planning for AI workflows is to use a phase-structured approach that interactively gathers requirements, designs tasks, and outputs a JSON state file encoding iteration controls for automation loops.

Automation loops fail without a reproducible state file because they lack structured tasks, acceptance criteria, and iteration controls, causing miscommunication and preventing phase-gated execution of the implementation plan.