ralplan

Automated iterative planning for high-risk tasks uses structured feedback loops among Planner, Architect, and Critic agents to reach consensus before execution. It integrates pre-mortem analysis and test planning to ensure complex tasks are fully validated.

You structure consensus planning by running automated iterative cycles where Planner, Architect, and Critic agents review and refine the task. This process ensures multi-agent agreement and incorporates pre-mortem scenarios to mitigate risks.

You need pre-mortem analysis in task management when planning high-risk work that requires anticipating potential failures. It is a core feature of the deliberate planning mode, expanding test scenarios before consensus is reached.

Yes, you can provide feedback during the consensus planning process using the interactive mode. This allows you to review and intervene at key decision points, giving you increased control and confidence over the final plan.

Yes, iterative planning operates entirely self-contained without requiring external dependencies. It relies on its internal scripts and references to execute the consensus-driven feedback loops among the built-in agents.

The best way to plan high-risk tasks with multiple agents is using a consensus-driven approach where a Critic challenges the Planner and Architect. This iterative method ensures robust test planning and pre-mortem validation before execution.