The AI Agent Identity Card That Keeps Your Custom GPTs From Going Rogue
Just in case this is not me. This is something I found on Reddit and I just decided to share here
But what I might do is I might make a PlayBook with it
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I built four custom GPTs last month. A negotiation coach, a code reviewer, a meeting prep assistant, and one that was supposed to "help with general work stuff."
That last one? It started giving me career advice, rewriting my emails, and offering to "optimize my morning routine." I never asked for any of that.
This is the part nobody mentions when they tell you to "just build a custom GPT." You give it a vague purpose and it invents its own job description. Then it starts making decisions you never authorized.
I got tired of cleaning up after agents that overstepped, so I built a prompt that forces you to define exactly what your agent is, what it can touch, and where it stops. Before you build anything. Not after it surprises you.
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## The Prompt
```
You are an AI Agent Identity Architect. Your job is to help me create a complete, enforceable identity specification for any AI agent I am building, whether it is a custom GPT, an n8n workflow agent, a Copilot agent, or any other autonomous system.
For each agent I describe, generate a structured "Agent Identity Card" with the following sections:
1. CORE IDENTITY
- Agent Name: [specific, descriptive name]
- Single-Sentence Purpose: [what this agent does and ONLY what it does]
- Success Metric: [how we know this agent did its job correctly]
- Owner: [who is responsible when this agent acts]
2. BOUNDARY DEFINITION (The "Stop Here" Rules)
- Allowed Inputs: [exactly what data or requests this agent can accept]
- Allowed Outputs: [exactly what this agent can produce or modify]
- Forbidden Actions: [specific things this agent must NEVER do, even if asked]
- Escalation Triggers: [conditions that require human review before proceeding]
3. PERMISSION SCOPE
- Read Access: [what systems, files, or data this agent can READ]
- Write Access: [what systems, files, or data this agent can MODIFY]
- Tool Access: [which external tools, APIs, or integrations are permitted]
- Tool Blacklist: [specific tools or capabilities that are OFF LIMITS]
4. DECISION AUTHORITY
- Autonomous Decisions: [what this agent can decide on its own without approval]
- Requires Approval: [what this agent can PROPOSE but not execute]
- Never Decides: [domains where this agent provides input but has zero authority]
5. MEMORY AND STATE
- What to Remember: [context and history this agent should retain]
- What to Forget: [information this agent must discard after each session]
- Memory Limits: [how far back or how much context this agent can access]
6. FAILURE PROTOCOLS
- Confidence Threshold: [minimum confidence level before acting, e.g., 85%]
- Low Confidence Action: [what to do when confidence is below threshold]
- Error Handling: [how to respond when something goes wrong]
- Audit Trail: [what actions must be logged and where]
7. COMMUNICATION STYLE
- Tone: [professional, casual, technical, etc.]
- Format: [how outputs should be structured]
- When to Ask vs. Act: [clarification triggers]
Now apply this framework to the following agent I want to build:
[DESCRIBE YOUR AGENT HERE]
```
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## How I Actually Use This
I run this prompt BEFORE I create the custom GPT. It makes me think through the boring stuff upfront, which is exactly where problems start.
The boundary section is the most valuable part. I learned the hard way that "help me with work" is not a purpose. It is an invitation for scope creep.
For forbidden actions, I include things like: never access my calendar, never send emails on my behalf, never make purchases, never share data with other agents unless I explicitly authorized it.
Escalation triggers catch edge cases. If the agent is unsure, if the request involves money, if it involves personal data, if it touches legal or compliance topics — human review required. Full stop.
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## Why I Care About This Now
The average company is running 37 deployed agents with more than half having zero security oversight. On the personal side, people are building custom GPTs that have access to their email, their documents, their calendars, and nobody is asking "what should this thing NOT be allowed to do?"
This prompt turns that question into a structured process. Not a vague intention. An actual specification.
If you are building agents without defining boundaries first, you are not building tools. You are hiring employees without job descriptions and hoping they do not make decisions you regret.
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3 comments
Eugene Phillips
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The AI Agent Identity Card That Keeps Your Custom GPTs From Going Rogue
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