Ground Truth Diagnosis
48 hours. Three specific findings. Fix sequence included.
Moe personally applies the Ground Truth Framework to your production AI system. Three numbered failure modes. Root cause. Fix sequence in the right order. One finding fixed on camera.
Five spots per month.
48 hours · Moe personally · Full refund if fewer than 3 findings
Who this is for
Your AI system works in testing. It fails in deployment. The gap is large enough to threaten a deadline, a demo, a contract, or a funding round.
- Your model performs well in eval but degrades in production and nobody can explain why
- You have a deadline — a demo, a submission, a customer milestone — and the system isn't ready
- You've already spent money on contractors or internal attempts that didn't resolve the issue
- You need specific, actionable answers — not another audit or architecture review
- You're in a mission-critical vertical: defense, medical, industrial, autonomous systems, fintech
You don't need more opinions. You need someone who has seen this exact failure pattern before and can tell you exactly what it is.
What you get
Three numbered failure modes
Each one named. Specific features identified. Divergence rates quantified. Commands to verify included. Not "you probably have training-serving skew" — the exact features, the exact numbers, the exact sequence to fix them.
Fix sequence in the right order
The order matters. Fix preprocessing divergence before distribution mismatch. Fix environment parity before either. The wrong sequence wastes weeks. You get the right one.
One finding fixed on camera
Not described. Not documented. Actually fixed, recorded, so you can see the process and your team can implement the rest.
Answers to the real questions
- Is this fixable before my demo?
- How long will the full fix take?
- Can my team do it or do I need outside help?
- Rebuild or fix in-place?
- What did the previous contractors miss and why?
Pattern recognition from 40+ systems
Not a generic framework applied mechanically. Your system compared against the pattern library from every diagnosis across nine verticals. The specific patterns that match yours identified and mapped.
How it works
12 questions. About 30 minutes. Your system architecture, what you've tried, what failed, your timeline. This is structured — not a discovery call, not a brainstorm. The questions are designed to surface the failure pattern before I look at code.
Within 24 hours. I run the Ground Truth diagnostic sequence personally. Artifact parity checks. Pipeline comparison. Distribution analysis. I'm comparing your system against the pattern library from 40+ previous diagnoses.
Within 48 hours of intake. Written report with three numbered failure modes, root cause, and fix sequence. Recorded session showing one finding fixed live. The report is yours permanently.
14 days of email access included. Questions about the findings, clarification on fix sequence, help with interpretation. Your team executes. You have the roadmap.
Three findings or full refund
The Ground Truth Guarantee
Three specific findings or every dollar back. Automatically. No conditions.
If I don’t identify at least three specific numbered deployment failure modes — each with root cause and fix sequence — you get every dollar back. 100%. The criteria are countable. And whatever you decide after the diagnosis — the findings are yours to keep regardless.
This guarantee has never been triggered.
The criteria are countable
Not "satisfaction guaranteed." Not "we'll work until you're happy." Three specific numbered deployment failure modes — each with root cause identified and fix sequence provided. Either they're in the report or they're not. Binary.
This guarantee has never been triggered
Across 40+ systems and nine verticals. Not because the bar is low — because production AI systems that fail in deployment virtually always have at least three identifiable failure modes. Most have more.
What you keep regardless
- The diagnostic report with all findings documented
- The recorded session with one finding fixed on camera
- The fix sequence and implementation guidance
- 14 days of email access for questions
From founders and technical leaders
“The thing that got me was how specific it was. Not 'you probably have training-serving skew' — three numbered findings, exact feature names, exact divergence rates, exact fix sequence.”
— CTO, industrial automation · Automotive
“We had a DoD demo in 10 days. Moe found a TF32 precision issue plus a rolling window mismatch. Both fixable without retraining. Demo went perfectly.”
— Founder, defense tech · UAS · DoD
“I almost didn't do this because I'd already spent so much on contractors. What made me do it was the guarantee. He found seven.”
— Head of ML, Series B SaaS · Recommendation systems
$1,500. Five spots per month.
For context
| Cost | Timeline | |
|---|---|---|
| ML contractor | $1,200-2,400/day | Daily rate, open-ended |
| Typical contractor engagement | $30K-150K | Weeks to months |
| Cleveland Clinic second opinion | $1,690 | Medical analogy |
| Ground Truth Diagnosis | $1,500 | 48 hours, guaranteed |
The diagnosis is designed to answer one question in 48 hours: what's actually wrong and in what order to fix it. Not a retainer. Not an ongoing engagement. A diagnosis.
Five diagnosis spots per month. Not artificial scarcity — each diagnosis requires focused attention and I run Opulion's other engagements in parallel. Five is the number where quality stays high.
If you have a deadline and a broken system
48 hours · Moe personally · Full refund if fewer than 3 findings
No calls · No commitment beyond $1,500
Need end-to-end implementation? See Full Deployment Remediation →