LAYER 01
Model control
Route model traffic through one control layer so you can swap providers, manage secrets, set policy, and recover fast.
● Framework
The seven control layers of production AI.
A practical framework for designing, reviewing, and hardening production AI systems. Every engagement uses it as a shared reference.
§02
The seven control layers of production AI.
Every engagement uses the same seven-layer framework. It gives you a practical way to design, review, and harden a production AI system.
live diagram
§03
Layer detail.
LAYER 02
Prompt operations
Treat prompts like versioned assets, not strings buried in application code.
LAYER 03
Guardrails
Check inputs, outputs, and tool actions before unsafe behavior, bad data, or policy violations spread.
LAYER 04
Budget governance
Set hard limits on spend by model, tenant, tool, and time window.
LAYER 05
Tool governance
Put MCPs, APIs, and scripts behind central auth, permissions, and tests.
LAYER 06
Observability
Trace every request, tool call, error, and latency spike end to end.
LAYER 07
Evals
Measure quality before and after release so regressions are caught early.
// GET STARTED
See where your system breaks before users do.
Take the AI Production Scorecard to get a fast baseline across the seven layers. If you want a deeper review, book an architecture session and we will turn the score into a hardening plan.
// 4 min · 19 questions
→ simor score --from auditanalyzing 7 layers...
✓ produces: overall score
✓ produces: layer breakdown
✓ produces: critical flags
✓ produces: next-step recommendation