agent-workflow-playbook

Standardize agent workflows by enforcing a structured Plan-Instrument-Execute-Validate process with explicit checkpoints, ensuring goals, constraints, and artifacts are defined before execution to prevent drift.

Prevent AI agent drift by applying a standardized workflow playbook that uses checkpoint questions and validation methods to maintain alignment and verify outputs during complex or ambiguous tasks.

Implement validation checkpoints by guiding agents through a Plan-Instrument-Execute-Validate workflow that prompts for clarification and confirmation at each stage to ensure execution alignment.

Use a structured planning phase for agent task execution when tackling complex or ambiguous tasks that require clearly defined goals, constraints, artifacts, logs, and rigorous validation methods.

Start defining agent execution steps by filling out the workflow_plan.json template, which guides the agent through planning, instrumentation, execution, and validation phases with explicit checkpoints.