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...
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.
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.