From Audit to Evidence | Governing an AI-Driven Remediation of a 780-Page Book
24 July 2026 · 00:13:05
An audit identifies defects. It does not prove that the repairs are correct. In Episode One I set three AI systems against my forthcoming FX options book and let the strongest one audit it. That audit produced one thousand and three findings, thirty-four of them critical: incorrect formulas, numerical inconsistencies, financial conclusions that no longer agreed with their own numbers. This episode follows what happened next — the controlled remediation of those critical findings, and the system that made the repairs trustworthy: fixed-scope batches, an approved finding manifest, separate implementation and review roles, deterministic recalculation in code, Git as the control plane, crash recovery from durable state rather than conversation memory, three hundred DPI visual inspection of every affected page, and an independent final gate that could still say no. In this episode: Why "fix all critical issues" is an irresponsible prompt The repository as control plane: what a Git-gated workflow answers that a chat session cannot The crash that proved the architecture: a restart repeats activity, a recovery reconstructs state The model explains, tools calculate — expected shortfall vs CVaR, and a risk budget that fails its own limit Why a compiled PDF proves almost nothing, and what page-level inspection adds Log warnings that looked like a regression and were not: the counting method is part of the fact The independent gate: thirty-three critical findings approved, one deliberately deferred — and why the book still did not pass Read the full field note: https://orbaos.com/field-notes/ Episode One field note: https://orbaos.com/field-notes/the-agent-is-not-the-control-plane The book, FX Options Volatility Trading: https://rondanini.com/fx-options The Post-Project World is hosted by Luigi Pascal Rondanini, founder of Rondanini Publishing and OrbaOS, with thirty-eight years in FX markets. The series explores how AI coordination, governance and persistent infrastructure are replacing the traditional project as the unit of work. Keywords: AI governance, agentic AI, AI agents, AI audit, AI remediation, deterministic tools, multi-agent systems, control plane, Git workflow, crash recovery, independent review, LLM evaluation, Kimi, AI orchestration, OrbaOS, post-project world, FX options, technical publishing, AI in finance, machine-mediated work.
The critical repairs had passed. The book had not. In the third and final episode documenting the reconstruction of a seven hundred and eighty-eight page FX options reference, Luigi Pascal Rondanini follows the work beyo…
I gave three advanced AI systems the same task: audit the formulas, calculations and worked examples in my forthcoming professional book on FX options. Claude, Codex and Kimi. Seven hundred and sixty-four typeset pages, …
Every regulated institution has rules. Most cannot prove that their systems enforce those rules consistently. A payment threshold approved by a committee in 2019 is implemented in Python by one team, Java by another, and…