Agentic Workflow Design Document

An ops or product leader who needs to design an AI agent system before engineering starts — and needs a structured document that names agent responsibilities, human-in-the-loop boundaries, failure modes, and observability so everyone agrees on what autonomy means.

- Process overview mapping current state against proposed agentic design with rationale

- Agent architecture: each agent's single responsibility, inputs, outputs, and decision authority

- Orchestration logic showing handoffs, sequencing, branching, and parallelism opportunities

- Human-in-the-loop design specifying exactly where humans intervene and SLAs

- Failure modes: 3–5 scenarios with system behavior and cascade prevention

- Observability and control: logging, metrics, pause/override/rollback mechanisms

- Implementation notes with sequencing from core loop through deferrable features

- Named design tradeoffs with plain-language risk flagging

Paste the prompt into ChatGPT, Claude, or any AI model. Answer five structured questions about your current process, judgment boundaries, system dependencies, failure scenarios, and workflow ownership. Get a 1,200–1,800 word agentic workflow design document.

Bundles or prompts related to AI implementation and systems architecture.