stride-completing-tasks

To enforce task completion hooks in Stride, execute both after_doing and before_review hooks prior to calling PATCH /api/tasks/:id/complete. This prevents premature task termination and ensures quality gates are met.

Completing a task in an orchestrated AI workflow requires providing after_doing_result, before_review_result, explorer_result, reviewer_result, and a compliant workflow_steps log. These payloads ensure traceability and validate the exploration and review phases.

Yes, automated task completion supports human review. Depending on the needs_review flag evaluated after completion, the workflow can trigger automatic continuation or route the task to a human reviewer for further inspection.

Your Stride workflow terminates prematurely if end-to-end completion discipline is not enforced. You must run both after_doing and before_review hooks and supply structured explorer and reviewer results before calling the task complete API.

The best way to log workflow steps for traceability is to compile a detailed workflow_steps payload. This compliant log must document the exploration, implementation, and review phases to validate the end-to-end task completion process.