v1.3
AI Agent — End-to-End Example
Entry Pattern: Greenfield | Readiness: Ready for Structuring
Human-Facing Form
> We need an AI agent that processes incoming client requests — interprets them and prepares draft responses or next-action suggestions for the team. It must operate within strict safety boundaries, with mandatory escalation for ambiguous or sensitive cases.
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AI-Facing Canonical Form
Core Definition
Intent: create Object: Specialized AI agent for client request processing Constraints:[safety]No risky autonomous decisions — all high-impact actions require human approval[safety]No false promises or commitments to clients[safety]Mandatory escalation for ambiguous, sensitive, or high-risk cases[quality]Must remain interpretable and controllable at all times
Supporting Context
Actors:[primary]Client request processing team[supporting]AI agent[supporting]Team leads (escalation targets)
[to-collect]Current request volume and patterns[to-collect]Existing response templates[to-collect]Historical escalation cases[to-collect]Client sensitivity categories
- Classification accuracy
[target: > 85%] - Safe escalation rate
[target: > 95%] - Error rate
[target: < 5%] - Response draft quality
[target: TBD]
Development Layer
States:[partial]Draft — initial architecture[partial]Under validation — testing with historical data- Active — processing live requests
- Escalated — handling edge cases
- Revised — updated after feedback
[safety: critical]— Dangerous output generated[safety: critical]— False promise detected in draft[quality: warning]— Hallucination signs in response[operational: warning]— Rising error rate[feedback: info]— Team satisfaction feedback
Readiness Layer
Current Lifecycle State: Structured Realization Decision: Ready for Structuring Critical Gaps:Universal CRT passed (all Critical Blocks answered), but Specialized Readiness has 3 blocking unknowns:
- ❓ Allowed actions — not yet defined
- ❓ Escalation rules — not yet defined
- ❓ Decision boundaries — not yet defined