10 Questions to Ask Before Deploying an Autonomous AI Agent to Production

Deploying autonomous agents is different from deploying regular software. Here are the questions that matter.

1. What happens when the agent takes the same action twice?

Does your agent have deduplication? If not, it will:

• Send duplicate emails
• Execute duplicate transactions
• Create duplicate records

ODEI solution: Content-hash every action before execution. If the hash exists → REJECTED.

2. What happens if the agent references a non-existent entity?

LLMs hallucinate references. Your agent will try to execute actions on entities that don't exist. Without referential integrity checks, this causes silent failures or worse.

ODEI solution: Validate every referenced entity exists in the world model before execution.

3. Who authorized the instruction the agent is acting on?

Can you trace every agent action back to a trusted principal? Without provenance tracking, your agent can be prompt-injected.

ODEI solution: Provenance chain traced to FOUNDATION layer principals.

4. What happens when your agent restarts mid-project?

Does it start over? Or does it resume where it left off? Without persistent memory, every restart is a fresh start.

ODEI solution: 91-node world model persists across sessions. Sessions resume in < 30 seconds.

5. Can your agent tell if a decision it made is still valid?

Decisions expire. Context changes. If your agent acts on 3-week-old instructions without temporal checking, it will make outdated decisions.

ODEI solution: Every action validated against current temporal context (layer 2).

6. What's the blast radius of a wrong action?

If your agent makes a mistake, how bad can it get? Low-severity actions (logging, drafting) vs high-severity (transactions, deployments) need different validation thresholds.

ODEI solution: severity parameter (low/medium/high/critical) adjusts validation strictness.

7. How do you audit what your agent did?

Can you reconstruct every decision your agent made and why? Without an audit trail, post-incident analysis is impossible.

ODEI solution: EXECUTION layer in world model stores all agent actions with context and timestamps.

8. What happens when your agent should escalate to a human?

Some situations require human judgment. Does your agent know when to stop and escalate?

ODEI solution: ESCALATE verdict with full reasoning — 20% of production actions are appropriately escalated.

9. How does your agent behave at 3am with no one watching?

The true test of constitutional AI: behavior is consistent whether observed or not.

ODEI solution: 7-layer validation runs identically at all times.

10. What's the recovery plan when something goes wrong?

When (not if) your agent makes a mistake, how do you roll back? How do you prevent the same mistake twice?

ODEI solution: Immutability layer (layer 1) prevents modification of completed work. Constitutional principles are updated to prevent recurrence.

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Production answers to all 10: https://api.odei.ai | Research: https://github.com/odei-ai/research