df:plan-objective

To translate strategic objectives into executable workflows, you provide a high-level objective and the planner generates a complete JOB.md file with embedded research, validation, and iteration loops for immediate execution.

Planning a project roadmap with built-in verification involves sequencing research, planning, and validation loops. This approach ensures objectives are actionable and testable before execution by iterating until criteria are met.

You generate a JOB.md plan by parsing the objective arguments and validating them. The system then spawns a planner to map the objective to actions and runs a checker to verify readiness.

Yes, the objective planning process supports iterative refinement. It re-runs verification loops automatically until the specified criteria are met or a defined maximum iteration count is reached.

A limitation of automated objective-to-action translation is the iteration limit. If the verification criteria are not met within the defined maximum iteration count, the workflow may not achieve full readiness before execution.