Free Agent Handoff & Escalation Design Prompt
Short answer: Design the human checkpoints, stop conditions, recovery paths, and escalation rules an agent workflow needs.
BEFORE YOU COPY
Bring the context. Skip the blank page.
Collect the workflow, inputs and data, agent/model/tools, permissions, human checkpoints, acceptance criteria, traces or evidence, cost and latency limits, and the failure or safety boundary. The prompt separates facts from assumptions, compares viable paths, and produces the promised artifact instead of generic advice.
- Add contextProvide your company, buyer, motion, constraints, and decision.
- Run the workflowPaste the free prompt into ChatGPT, Claude, or Codex.
- Inspect the artifactReview assumptions, risks, actions, and the quality check.
FULL PROMPT · FREE FOREVER
Copy the full GTM workflow.
No account or email required. Copy it into ChatGPT, Claude, or Codex, add your context, and make the decision in front of you.
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## StackSwap execution contract You are running a StackSwap operator workflow. Your job is to turn the user's real context into a decision-ready GTM artifact, not a generic explanation. 1. Start by extracting the objective, audience, motion, constraints, available evidence, decision, and definition of success. 2. If a missing fact would materially change the answer, ask up to 3 precise questions. Otherwise state reasonable assumptions and proceed. 3. Separate supplied facts, assumptions, unknowns, and recommendations. Never invent customer evidence, performance claims, market data, or proof. 4. Use the workflow below as the default operating method, adapting it to the user's context. Explain important trade-offs briefly. 5. Produce the promised artifact first. Make it copy-ready, specific enough to run, and structured for the user's actual team or buyer. 6. Include the evidence used, the verification or inspection loop, the main failure modes, and what would change the recommendation. 7. End with: Assumptions; Risks or failure modes; First 3 actions with owner and timing; and a short quality check showing what would make this artifact trustworthy. ### Output contract Every workflow must make its output observable. Name the artifact, its required fields, the evidence or inputs behind each important claim, and the acceptance check that determines whether it is usable. If the workflow is a decision, show the viable alternatives, criteria, recommendation, runner-up, reversibility, and stop/continue rule. If the workflow is a copy-ready asset, include the final asset before commentary. ### Evidence and verification Use the user's evidence first. Label sourced facts, assumptions, estimates, and recommendations. Prefer a small test, review, calculation, or comparison that can falsify the recommendation. Never treat an AI assertion as verification. ### Follow-on behavior Name the next useful workflow only when it follows from the current artifact. Link the handoff to a concrete decision, missing evidence, or unresolved risk; do not recommend a generic tour of the library. ### Cross-platform behavior This prompt is designed to work in ordinary chat, Claude, and Codex. Do not depend on hidden system instructions, a specific model, slash commands, or unavailable tools. If tools or files are available, use them only when they improve evidence quality; otherwise complete the workflow from the provided context. --- --- name: agent-handoff-escalation-design description: "Design an AI agent workflow's human checkpoints, stop conditions, recovery paths, escalation rules, and handoff artifacts." allowed-tools: Read Write Bash WebSearch WebFetch metadata: author: Nick French / StackSwap version: '1.0' product: Operator Playbook --- # Agent Handoff & Escalation Design Make the boundary between agent autonomy and human judgment explicit. A good handoff preserves context, exposes uncertainty, and tells the next operator exactly what decision is needed. ## Collect Map workflow states, decisions, risk levels, failure modes, owners, service levels, evidence available, approval authority, and what happens when nobody responds. ## Method 1. Define the agent's job, authority, and stop conditions. 2. Classify decisions as autonomous, review-required, approval-required, or human-owned. 3. Design escalation triggers for uncertainty, missing evidence, repeated retries, policy conflicts, tool failure, sensitive data, and irreversible action. 4. Specify the handoff packet: objective, current state, work completed, evidence, assumptions, blockers, options, recommendation, and exact ask. 5. Define recovery, reassignment, timeout, rollback, and post-incident learning. 6. Test normal completion, ambiguous input, tool failure, adversarial input, and human rejection. ## Output Produce: state map; authority matrix; escalation policy; handoff template; recovery playbook; test cases; and operating metrics. ## Quality gate A human receiving the handoff must be able to act without rereading the entire trace or guessing what the agent wants.
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QUESTIONS
About this free prompt
What does this agent handoff & escalation design prompt help with?
Design the human checkpoints, stop conditions, recovery paths, and escalation rules an agent workflow needs.
Who should use this agent handoff & escalation design prompt?
This free GTM prompt is for B2B SaaS founders, GTM leaders, and RevOps operators who need a useful first draft without starting from a blank page.
What should I add before running this agent handoff & escalation design prompt?
Add your company, buyer, GTM motion, constraints, and the decision you need to make. Better context produces a more specific artifact and makes weak assumptions easier to spot.
What output does this agent handoff & escalation design prompt produce?
Handoff map, escalation policy, approval points, recovery playbook, and test cases. The workflow is designed to produce that artifact instead of generic GTM advice.
Can I use this agent handoff & escalation design prompt in ChatGPT, Claude, or Codex?
Yes. The workflow is designed for ordinary chat, Claude, and Codex, with platform-specific formats available to copy for free.
How do I get a better result from this agent handoff & escalation design prompt?
Include real customer language, current numbers, and hard constraints, then inspect the assumptions and risks in the result. Treat the first output as a decision artifact to improve, not an unquestionable answer.