Verification Architecture

AI moves fast. Verification keeps it honest.

Asking an AI agent whether its work is correct is not a verification strategy. We use deterministic evidence, then human sign-off.

01

Build Verification

The application must build successfully in the target environment.

02

Unit & Integration Tests

Automated suites must pass against the changed behavior and its boundaries.

03

End-to-End Testing

Agents execute real user workflows against the running application.

04

Lint & Static Analysis

Code must satisfy defined language, type, and quality gates.

05

Security Verification

Automated dependency and security checks run where applicable.

06

Goal-Driven Stop Conditions

Loops stop only when defined verification conditions pass, not when a model says the work looks good.

Goal-driven stop conditions

Not: Looks good. Instead: Every defined check passed.

Automated verification establishes evidence. A senior engineer reviews the change and takes responsibility for shipping it.

01AI Implementation
02Automated Verification
03Human Review
04Production

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