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Courses/F3 Codex for AI Auditing
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F3 Codex for AI Auditing

Use Codex as an auditor for claims, plans, code, and execution quality so bad assumptions get caught early.

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0/4 lessons complete

Modules

4

Structured learning blocks in this course.

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The current account can open every lesson in this course.

Course Brief

This course positions Codex as the audit layer inside the DAGA operating model. Claude can drive execution, but critical decisions still benefit from a second model that challenges reasoning, checks assumptions, and verifies implementation.

Module Map

Course outline

Module 10/1 complete

Auditing mindset and scope

Know when an output needs auditing and what good-enough verification looks like.

01

Decide What Gets Audited

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Separate low-risk outputs from work that deserves a second-model review.

13 min

Module 20/1 complete

Prompt and plan review

Use Codex to challenge weak prompts, unclear plans, and unverified assumptions before execution.

01

Audit the Plan Before Execution

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Catch missing steps and unsupported assumptions before implementation starts.

15 min

Module 30/1 complete

Verify outputs against the vault

Cross-check generated output against actual notes, documentation, and stored decisions.

01

Use Retrieval as an Audit Surface

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Bring the right notes into the audit so Codex is checking against reality instead of guessing.

14 min

Module 40/1 complete

Turn audits into decisions

Convert audit findings into clearer decisions, lessons, and next actions.

01

Close the Audit Loop

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Move from critique to decisions, documentation updates, and next actions.

12 min