THE LOGIC-READINESS AUDIT
Isolate undefined behavior before it creates review debt or ships to production.
AI made code cheap. It made verification expensive.
The Logic-Readiness Audit is a 72-hour diagnostic for CTOs, VPs of Engineering, and CPOs who need to know exactly where one high-risk product flow will force engineering into manual interpretation or ship with undefined failure, recovery, or escalation behavior.
I audit the product logic before AI-assisted work reaches engineering review.
One flow. 72 hours. $1,200 fixed fee.
✺ THE SYMPTOMS
YOUR TEAM IS MOVING FAST. THE SPECS STILL AREN’T SAFE TO BUILD.
If your senior engineers are stopping mid-sprint to decode edge cases, clarify missing behavior, or patch invalid assumptions, your execution layer is bleeding. The issue is not speed. The issue is that critical logic decisions are unresolved when the sprint begins.
This is the Rework Tax. It looks like this:
undefined error states
incomplete validation rules
backend constraints missing from the spec
UI that only survives the "Happy Path"
AI-generated code that compiles perfectly, but hallucinates system behavior
This is not a talent problem. This is Requirement Drift. You are paying $200/hr senior engineers to act as requirement detectives.
✺ WHY INTERNAL TEAMS MISS THIS
YOU CANNOT AUDIT THE GAP FROM INSIDE THE GAP.
Designers are incentivized to move the experience forward. Engineers are incentivized to close the ticket. Both sides operate on an unwritten, shared mental model of how the system "should" behave.
That works until the flow hits a compressed sprint or an AI coding agent (Cursor/Bolt). AI does not share your team’s unwritten context. It is a high-speed "yes man."
This audit gives you an external, decision-ready review of the logic your team is too close to evaluate objectively.
✺ WHAT THIS AUDIT IS
A FIXED-SCOPE DIAGNOSTIC ON ONE HIGH-RISK FLOW.
This is not a generic UX review. It is not a strategy workshop.
It is a 72-hour audit of one feature, workflow, or sprint bottleneck currently in your pipeline. You provide:
current Figma files or prototypes
relevant Jira tickets, user stories, or specs
a short note from engineering on the primary point of friction
I map the flow for undefined logic, orphaned states, and AI build-risk before a single line of code is written.
✺ WHAT YOU RECEIVE
THREE DECISION-READY ARTIFACTS.
At the end of the 72 hours, you receive a concrete diagnostic package built strictly for engineering and product execution:
1. The Workflow Logic Gap Map
A duplicated Figma file or PDF export showing exactly where the defined flow ends and implementation guesswork begins. We drop clear markers on:
orphaned states
undefined transitions
unconstrained inputs
"Happy Path" coverage gaps
2. The Requirements Risk Log
A clear, filterable CSV documenting the highest-risk gaps. Each row includes:
the exact coordinate of the failure point
the undefined state
the likely implementation guess (the hallucination)
the sprint and system impact
the Required Logic Decision
3. The AI Build-Risk Score
A 1-page executive assessment determining if the current specs are safe for AI coding tools. We evaluate:
context density
hallucination exposure
estimated rework burden
the final PASS/FAIL gate for automated build
The Handoff: A focused 45-minute handoff call. We walk your Engineering Lead and Technical Founder/Product Owner through the findings and explicitly ask: "Who is resolving these constraints before Monday's sprint?"
✺ WHAT YOU KNOW 72 HOURS LATER
YOU KNOW EXACTLY WHERE THE BUILD IS MOST EXPOSED.
When the audit concludes, your team holds measurable visibility into the highest-risk logic gaps in the targeted flow.
You know:
where system behavior is completely undefined
where engineering will be forced to guess
where AI tools will confidently compile invalid logic
which specific constraints must be locked before the build proceeds safely
This is diagnosis, prioritization, and decision support. Not theory.
✺ THE ECONOMIC CASE
THIS COSTS LESS THAN THE REWORK IT PREVENTS.
The Audit is a $1,200 fixed fee. This is roughly equivalent to 6 hours of a senior engineer's time.
If this audit prevents a single mid-sprint rewrite, delayed ticket cycle, or AI-generated data corruption, it pays for itself immediately.
You are not buying more design. You are buying back your engineering velocity.
✺ THE ZERO-RISK GATE (THE GUARANTEE)
IF NO MATERIAL GAPS ARE FOUND, THE AUDIT IS FREE.
If the targeted specs are truly "Build-Ready" and contain no material logic gaps, you pay nothing.
Material gaps are undefined states or missing constraints that create likely rework, sprint blockers, implementation drift, or AI build risk.
If there is no Rework Tax to isolate, there is nothing to bill for.
✺ THE BOUNDARY: AUDIT VS. SPRINT
THE AUDIT DIAGNOSES THE LEAK. THE SPRINT FIXES IT.
The Logic-Readiness Audit maps the ambiguity and prioritizes the exact decisions your team must make. It does not rewrite the flow or generate the final Build-Ready Specs.
If the audit reveals material issues, the next step is the AI-Readiness Sprint, where the missing logic is resolved and the feature is hardened for execution.
The Audit tells you where the build is exposed. The Sprint resolves the logic so it can proceed safely.
✺ WHO THIS IS FOR
FOR TEAMS BLEEDING VELOCITY TO UNDEFINED LOGIC.
This Audit is a strong fit for:
Technical Founders, CTOs, and VPs of Engineering at AI-forward organizations (Seed through Series B)
Teams relying on AI coding agents (Cursor, Copilot, Bolt) to ship faster.
Product orgs where engineers repeatedly trigger mid-sprint Logic-Triage.
Teams shipping high-stakes flows with strict compliance, validation, or data integrity risks.
Leaders tired of paying $200/hr senior talent to decode incomplete design files.
If your team discovers critical behavior requirements during implementation, you need this audit.
✺ THE NEXT STEP
ISOLATE THE REWORK TAX BEFORE THE SPRINT ABSORBS IT.
One high-risk flow. One 72-hour diagnostic. One clear read on where your build is exposed to ambiguity, rework, and AI-generated mistakes.