What AI product are you building or auditing?
Two ways to get started — pick an example or describe your own.
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How this works
Describe your AI product or pick an example below. The tool places it on a 2x2 matrix (Classical ML vs LLM / Design vs Operate), surfaces the 7 PM questions ranked for your quadrant, and generates a health scorecard with specific gaps and risks -- all powered by Claude.
QUICK START
Click any example to pre-fill the description below — edit it to match your actual system
Finserv / Risk
Credit card fraud detection
Loan default prediction
KYC document verification
Customer Experience
LLM support chatbot
AI voice agent
Support ticket sentiment tagger
Internal / Enterprise
Contract review tool
Internal knowledge assistant
LLM eval and monitoring pipeline
Product / Growth
Product recommendation engine
SaaS churn prediction
Search ranking model
OR DESCRIBE YOUR OWN
Where does your product live?
Pick the quadrant that best fits your system. Each cell tells you the dominant design and operational risks.
DESIGN · how it's built
OPERATE · how it stays alive
CLASSICAL ML
You train your own model
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ML System Design
How you architect the model, choose features, and define what the system predicts at inference time.
⚠ Medium Risk
✓
MLOps
How your model stays reliable after launch. Silent prediction decay is the most common and most costly failure mode.
🔴 High Risk
LLM
You call someone else's model
✓
LLM System Design
How you design the LLM stack. Scope, guardrails, and retrieval quality decisions made here determine everything downstream.
🔴 High Risk
✓
LLMOps
How your LLM system is monitored and governed post-launch. Without evals and cost controls, problems surface only after user impact.
🔴 High Risk
LLM System Design: Deep Dive
The 7 PM questions ranked by priority for your quadrant
🚨 Top Design Risks
⚙️ Operational Watch Points
System Health Score
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Audit Findings
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Want a more accurate picture?
The findings above are based on what you described. Address the gaps flagged above and the score will update to reflect your actual system. This is one round only -- make it count.