PRODUCT LOGIC BEFORE AI
AI MADE CODE CHEAP. VERIFICATION GOT EXPENSIVE.
Product Designer for Systems & AI
I turn ambiguous product behavior into verification-ready specs before AI-assisted work reaches engineering review.
For teams building complex products, I define the retries, permissions, failed states, approvals, rollback rules, and edge-case behavior engineering needs before implementation looks complete but the logic is still missing.
✺ THE CORE PROBLEM
YOUR TEAM IS MOVING FASTER. THE PRODUCT RULES ARE NOT.
AI-assisted teams can generate screens, flows, and implementation faster than ever.
That does not mean the work is safe to build.
When product rules are still implicit, generated work can look complete before engineering can verify whether the behavior is valid.
That is the new Rework Tax.
It shows up as:
retries that are not fully defined
permission rules that are still implied
failed states that engineering has to invent
rollback behavior discovered during review
approval and handoff logic resolved after implementation starts
AI-assisted work that compiles, but misses the business rule
The result is predictable:
Senior engineers stop architecting and start reconstructing product intent during review.
That is not a velocity problem.
It is a verification problem.
✺ THE METHODOLOGY
VERIFICATION-READY PRODUCT LOGIC.
My work sits between product intent and engineering verification.
I do not review code.
I do not sell general UX capacity.
I do not audit aesthetics.
I define the product logic conditions that make AI-assisted implementation easier to validate, reject, or correct.
That means the behavior is defined before engineering has to infer it.
What I harden:
State transitions
Failed states
Retry behavior
Permission boundaries
Approval logic
Handoff rules
Rollback behavior
Edge-case responses
Reviewer acceptance checks
The goal is simple:
Make the product rules clear before generated work reaches review.
✺ HOW I ENGAGE
CHOOSE THE INTERVENTION THAT MATCHES YOUR REVIEW BURDEN.
The Logic-Readiness Audit
A 72-hour diagnostic for one high-risk flow.
I map where your current specs are likely to force engineering to manually infer product behavior during review.
$1,200.00 (Fixed Fee)
The AI-Readiness Sprint
A 5-day sprint to harden one blocked, ambiguous, or high-risk flow.
I turn unclear product behavior into a Product Logic Verification Contract: a reviewer-verifiable rule set for what must be true before implementation is safe to accept.
$4,800.00 (Fixed Fee)
AI Delivery Governance for product logic
Ongoing backlog hardening for teams shipping AI-assisted work across multiple high-risk flows.
I help ensure tickets enter engineering with defined behavior, clear edge states, and reviewer-verifiable product logic.
$9,000 / Month
✺ WHO THIS IS FOR
BRING ME IN WHEN SPEED IS CREATING REVIEW BURDEN.
This is usually a fit when:
AI-assisted builds are producing inconsistent outputs
generated work looks complete, but the rules are still unclear
senior engineers are clarifying product behavior during review
product flows depend on permissions, approvals, retries, or edge states
delivery is moving fast, but verification is slowing down
strategy has turned into screens before the underlying behavior has been defined
If your senior engineers are spending too much time interpreting product intent, the issue is usually not engineering speed.
The issue is missing product logic.
✺ BEFORE REVIEW DEBT COMPOUNDS
STOP LETTING PRODUCT RULES REACH ENGINEERING UNDEFINED.
AI did not remove the Rework Tax.
It moved it into verification.
I help close that gap before it becomes review debt.