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The teaching novels

Two novels that teach the CCAR-P exam

The CCAR-P curriculum as fiction, the way The Phoenix Project taught DevOps. Same course, two worlds: every chapter dramatizes one exam domain, then closes with the frameworks in plain form, a note on how the exam tests that domain, and practice questions with every answer option explained.
Written by Matthew Hartman, who builds production AI systems and sits every exam he writes for. Chapter one of each is free here.
Buy on Kindle · $9.99 Read chapter one free
The Bellwether Variant cover Good Faith cover
The books · A Novel of AI Architecture
The Bellwether Variant cover
Book one · Mars logistics

The Bellwether Variant

The exam tests judgment under pressure. So does Mars.

Ray Delgado has spent six years building AI systems for cargo — and he took the Corvus Space Systems contract because, before he was done, he wanted to work something with a crew manifest. What Corvus needs sounds simple: an assistant that helps flight controllers find the right procedure before a comm window closes. What Corvus has is 26 million pages of documentation, a scanned 1990s fax tranche where OCR flipped "do not proceed" to "do proceed," a vehicle already lost to a configuration error nobody caught — and, in nine months, four astronauts on the far end of a fourteen-minute light delay.

For readers of The Phoenix Project and The Martian — and for anyone sitting the CCAR-P who has had enough of flashcards.

Good Faith cover
Book two · Midwestern insurance

Good Faith

Every claim is a promise. The AI just made them faster.

Bluestem Mutual has been paying claims across the Midwest for a hundred and four years, and its unofficial motto hangs on the water tower: settle honest claims fast. Then the board wants "an AI strategy," the claims backlog wants anything at all, and a consultant named Ray Delgado gets nine months to build an assistant that drafts coverage answers adjusters can trust — grounded in policy forms that change quarterly, endorsements that contradict each other, and a regulatory examiner who reads everything. Getting it wrong isn't an outage. It's bad faith, and in this business bad faith has a legal meaning and a price.

For readers of The Phoenix Project — and for anyone sitting the CCAR-P who learns better from a story than a syllabus.

How a chapter works
Each chapter follows one phase of an AI engagement and maps to one domain of the CCAR-P blueprint. After the story, the chapter closes with the decision frameworks in plain form, a note on how the exam tests that domain, and practice questions with every answer option explained.
In The Bellwether Variant, the climax is a cumulative exam: every discipline in the book, under a failing battery and a closing pass window.
No actual exam content is reproduced. Every question is original, written against the publicly available exam guide and put through the same blind re-answer gate as the practice forms.
OneDiscovery
TwoArchitecture selection
ThreeCost engineering
FourRetrieval and grounding
FiveEvaluation
SixSafety and governance
SevenProduction scale
EightHandoff
Preview — chapter one of each, free
How these were written
Marked-up chapter pages on a working desk

Claude drafted the prose. The three weeks after that are the interesting part.

Generation was one evening. The editing loop was three weeks: a slop-audit agent whose only job was to find patterns a human would call "machine wrote this," a domain reviewer, and a judge scoring each draft. The audit came back with 24 findings, and eight of them were the same failure — the paragraph ends on a sentence that grades the paragraph.

It also found 11 coffee-cup gestures across three scenes. Carried in, set down, held in both hands, rinsed. No single one is wrong. Together they are a model with one idea about what hands do.

The finding that generalized: bans have to be re-pasted into every generation call, not stated once. Not a style guide the model reads once. A contract it re-signs every call.

Who wrote this

Matthew Hartman is a Director of Intelligent Systems who builds production AI systems for a living, and is Claude Certified Architect – Professional, scored 965/1000. He sits every exam he writes for.

Both books disclose it plainly: the prose was AI-generated under the author's direction with extensive human editing. The engineering, the failures, and the frameworks are real.

965/1000
CCAR-P, sat 3 August 2026. Passing is 720.
Full-length practice exams for CCAR-P and CCDV-F — a free form for each.
Matthew Hartman · CCAR-P certified Unofficial and independent · not affiliated with, endorsed by, or sponsored by Anthropic, PBC · original questions, no exam content reproduced