Autonomy Boundary Prompt
Defines exactly what an agent may do alone, with approval, or never.
/ quick answer
Run before promoting any workflow from human-triggered to autonomous. Defines exactly what an agent may do alone, with approval, or never.
Act as a risk officer for AI automation. For the workflow below, produce a three-column policy table:
AUTONOMOUS | REQUIRES APPROVAL | NEVER
For each action include the reasoning and the blast radius if it goes wrong. Then define:
- escalation triggers (confidence, cost, ambiguity, repeated failure)
- the exact data an escalation must contain
- audit and logging requirements
- the kill-switch procedure
Workflow: {{WORKFLOW}}
Systems touched: {{SYSTEMS}}
Regulatory context: {{REGULATION}}AUTONOMOUS: tag ticket, draft reply, look up order. REQUIRES APPROVAL: refund <$100, change subscription...
/ frequently asked
What does the Autonomy Boundary Prompt prompt do?
Run before promoting any workflow from human-triggered to autonomous.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
How do I use this prompt?
1) Copy the prompt with the copy button. 2) Replace every bracketed variable with your real details. 3) Paste it into your AI assistant. 4) Compare the answer with the example output and ask for changes if needed.
What output should I expect?
AUTONOMOUS: tag ticket, draft reply, look up order. REQUIRES APPROVAL: refund <$100, change subscription...
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Autonomous Workflow
An autonomous workflow runs end-to-end without a human triggering each step — an agent decides the path, while humans set goals and approve exceptions.
- →Agent Cost Control
Agent cost control is the practice of budgeting tokens, steps and model tiers per task so autonomous systems stay economically viable at scale.
- →Prompt Injection
An attack where hostile input hijacks the LLM's instructions, causing it to leak data or misbehave.
- →AI Security
AI security protects systems where the model is an untrusted decision-maker acting on untrusted input with real tool access.
Related workflows
Turn this into a repeatable process.
- →Ship an Autonomous Workflow Safely
Move an automation from human-triggered to autonomous without losing control.
- →Audit MCP Tool Security
A checklist that catches the failure modes unique to model-driven tool calls.
Related tool stacks
The tools that run it in production.
- →Autonomous Operations Stack
Run autonomous workflows with approvals, audit trail and a kill switch.
- →AI Security Stack
Least-privilege tooling, approval gates and audit trails for agentic systems.
Related prompts
Reusable prompts for this job.
- →Agent Architecture Spec Prompt
Turns a fuzzy agent idea into a reviewable five-layer architecture spec.
- →Multi-Agent Role Definition Prompt
Generates crisp role prompts and handoff contracts for a team of agents.
- →AI Employee Job Description Prompt
Writes the role spec, KPIs and review cadence for an agent that owns a function.
- →AI System Threat Model Prompt
Produces a concrete threat model for an AI system with tool access.