PBA at Work

From business decision to 1,300 behavior cards.

On the agentic health startup I’m building, one leader carried the business model, the product behavior and the handoff to coding agents. Here is how it ran, what failed first, and what I learned from the people I built it with.

Why behavior cards? Because agents should be coding, not reading.

Agents should be coding,not reading.

The Process

From concept to business-based behaviors.

Every number below comes from the build. Claude drafted and red-teamed at volume; a person made every ruling, numbered and dated.

1
BusinessGroundworkflip to learn →
Phase 1

Launch brief and scope. The 4 P’s decided before any feature was named.

Common pitfalls
—Launch brief and scope. The 4 P’s decided before any feature was named.
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2
FoundationGroundworkflip to learn →
Phase 2

Design patterns and journey arcs that every surface would follow.

Common pitfalls
—Design patterns and journey arcs that every surface would follow.
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3
KnowledgeGroundworkflip to learn →
Phase 3

5 knowledge bases: the evidence each product decision draws on.

Common pitfalls
—5 knowledge bases: the evidence each product decision draws on.
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4
SketchConceptflip to learn →
Phase 4

28 surfaces and engines, sketched so scope was visible before design.

Common pitfalls
—28 surfaces and engines, sketched so scope was visible before design.
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5
DesignIntentflip to learn →
Phase 5

Design turn by turn, locking what each journey is meant to do.

Common pitfalls
—Design turn by turn, locking what each journey is meant to do.
↑ scroll ↑
6
ResolveBehaviorsflip to learn →
Phase 6

72 canonical design specs, then conflicts resolved across the whole corpus.

Common pitfalls
—72 canonical design specs, then conflicts resolved across the whole corpus.
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7
BuildCardsflip to learn →
Phase 7

1,300 behavior cards, audited against the specs, so no one translates design into code.

Common pitfalls
—1,300 behavior cards, audited against the specs, so no one translates design into code.
↑ scroll ↑
1
BusinessGroundworkflip to learn →
Phase 1

Launch brief and scope. The 4 P’s decided before any feature was named.

Common pitfalls
—Launch brief and scope. The 4 P’s decided before any feature was named.
↑ scroll ↑
3
KnowledgeGroundworkflip to learn →
Phase 3

5 knowledge bases: the evidence each product decision draws on.

Common pitfalls
—5 knowledge bases: the evidence each product decision draws on.
↑ scroll ↑
5
DesignIntentflip to learn →
Phase 5

Design turn by turn, locking what each journey is meant to do.

Common pitfalls
—Design turn by turn, locking what each journey is meant to do.
↑ scroll ↑
7
BuildCardsflip to learn →
Phase 7

1,300 behavior cards, audited against the specs, so no one translates design into code.

Common pitfalls
—1,300 behavior cards, audited against the specs, so no one translates design into code.
↑ scroll ↑
2
FoundationGroundworkflip to learn →
Phase 2

Design patterns and journey arcs that every surface would follow.

Common pitfalls
—Design patterns and journey arcs that every surface would follow.
↑ scroll ↑
4
SketchConceptflip to learn →
Phase 4

28 surfaces and engines, sketched so scope was visible before design.

Common pitfalls
—28 surfaces and engines, sketched so scope was visible before design.
↑ scroll ↑
6
ResolveBehaviorsflip to learn →
Phase 6

72 canonical design specs, then conflicts resolved across the whole corpus.

Common pitfalls
—72 canonical design specs, then conflicts resolved across the whole corpus.
↑ scroll ↑

Behaviors, not features: every card says what the agent does, what it must never do, and how to check it.

What Failed First

The first spec set failed.

It was detailed and faithful to the design. It also carried every debate, draft and dead end, so the agents couldn’t find the signal. The fix wasn’t more documentation. It was decided, current, simple and consistent behaviors.

1

Noise hid the signal

Design history, open questions and superseded decisions sat next to current rules, and agents treated all of it as truth.

2

A 20-pass reconciliation

Claude found and resolved conflicts across the whole corpus, pass after pass, until every rule was current and consistent.

3

4 versions, 3 releases

The spec went through 4 versions across 3 releases before the behavior cards were ready to build from.

After the cleanup, agent output with QA came back really close to spec.

The Behavior Card

One behavior per card. Written for agents.

Each card is one rule an agent can build from and a tester can check. Long specs became cards, features and stories became behaviors, and “what to build” gained “what it must never do”.

Before

After

After

Long specs

One behavior per card

Features and stories

Behaviors

What to build

What it must never do

Design history mixed in

Current state only

Interpreted by engineers

Executed by agents, verified by tests

S

Statement

The behavior in one sentence.

D

Does

What the product does, step by step.

N

Never

What it must never do, in business, user and clinical terms.

✓

Why and Check

The decision it traces back to, and how to check the behavior.

What Changed

The critical path moved from building to deciding.

Once the specs were clean, the build stopped being the slow part.

Engineer time

About an hour per round of changes.

After the clean specs, the engineer spends 30–45 minutes writing the instruction and 15–20 minutes checking runs, reviewing and pushing. Agents run day and night.

Well under a quarter of an engineer’s time.

Agent output, with QA

Really close to spec.

After the reconciliation, what the agents built matched the behavior cards closely enough to review rather than rebuild.

Review, not rework.

Decisions

Every ruling numbered, dated and owned by a person.

Claude drafted and challenged; the product owner decided. Each ruling is recorded, so agents never re-decide something already settled.

No silent re-decisions.

Where the time went

Deciding became the work.

Agentic capacity is now budgeted like developer hours. The IP, and the time, sit in the decisions.

The spec is the asset.

What I Learned

Lessons from building it with others. You get them on day one.

I learned these working alongside the engineers and designers on the build. They are now part of how PBA runs.

Bring engineering in early

Design and build work best as one conversation.

Working with our engineer showed me how much faster the build goes when engineering shapes the design, not just receives it.

Your engineers join the design work from the first stage.

Your engineers join the design work from the first stage.

Build the core engine first

Make the engine its own testable piece.

Extracting the core engine before the surfaces makes it testable on its own and reusable for partners.

Your build starts with the engine, not the screens.

Your build starts with the engine, not the screens.

Test against the spec, not the code

Let the behavior cards define done.

Integration tests written from the specs, not from existing code, show whether the engines behave as designed.

Your acceptance tests come straight from the cards.

Your acceptance tests come straight from the cards.

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Want to see where your AI work stalls?

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In a 30-minute Discovery Consult, we look at where your AI work creates value, where it stalls, and which decisions to make first.

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