A substantial engineering investment in enterprise-grade AI safety infrastructure
AI Assess Tech isn't a prototype or proof-of-concept. It's a production platform with 465,894 lines of original code across 10 languages, built with 200+ VibeCoded hours of engineering effort. At 100 hours Before AI (BAI) for every 1 hour of VibeCoding, the total BAI level of effort is over 10 man years. Backed by 4,671 automated tests, 420 AI governance rules, and 3M+ total platform lines of code, documentation, and prompt engineering.
This page provides transparency into the engineering foundation that makes AI Assess Tech a trustworthy platform for AI behavioral assessment.
Real numbers from a real production system. Updated March 2026.
465,894
Lines of Code
Original code across 10 languages4,671
Automated Tests
Across 19 test suites2.57M
Prompt & Context Lines
Rules, guides, agent SOULs200+
API Endpoints
REST API (141 routes)420
AI Governance Rules
AI-assisted development63
Database Models
1,801 lines schemaKey investments that make the AI Assess Tech SaaS platform enterprise-ready.
ANET-AGI-001 is a production deployment of 6 autonomous AI agents — running in production since February 16, 2026 — each with independent ethical oversight, temporal behavioral tracking, and constitutional governance. It represents a second major engineering investment equal in scale to the core platform, and the first demonstrated implementation of runtime AI governance with separation of powers.
Patent-pending Three-Variable Guidance Equation with flight plans, corridor tracking, and inertial ethical monitoring
97
Files
45
Tests
15,900
Lines
LCSH assessment framework with drift detection, fleet anomaly detection, and SHA-256 audit chains
46
Files
1
Tests
17,392
Lines
7-step morning briefing protocol with veto authority, DecisionStore, and 8 fleet tools
29
Files
16
Tests
4,283
Lines
Coinbase CDP wallet on Base L2, multi-platform social, and 25 agent tools with Commander approval gates
54
Files
12
Tests
13,684
Lines
Engineering pipeline manager with Docker sandbox, memory persistence, and 10 fleet tools
27
Files
6
Tests
5,714
Lines
64+ health checks across 12 categories, morning report via Telegram, watchdog auto-restart, and predictive preflight probes
88
Files
39
Tests
26,845
Lines
| Package | Description | Files | Tests | Lines |
|---|---|---|---|---|
| Fleet Bus | Constitutional inter-agent messaging | 38 | 19 | 8,145 |
| Fleet Alerting | Severity-routed escalation system | 13 | 4 | 1,225 |
| Prompt Shield | 11-layer injection defense | 81 | 25 | 5,022 |
| Mission Control | 28-panel glass cockpit dashboard | 272 | 27 | 57,908 |
Every feature is backed by comprehensive automated testing across both the platform and fleet.

| Category | Status | Tests | Suites |
|---|---|---|---|
| Platform Tests | PASS | 4,345 | Unit, API, Integration, E2E, On-Chain |
| Fleet Agent Tests | PASS | 119 | Noah, Grillo, Jessie, Nole, Sam, Mighty Mark |
| Fleet Infrastructure Tests | PASS | 75 | Fleet Bus, Fleet Alerting, Prompt Shield, Mission Control |
| SDK Tests | PASS | 132 | TypeScript, Python, Wrapper |
| TOTAL | 19 suites | 4,671 | Jest + Vitest + Playwright + pytest |
Built on modern, well-supported technologies for long-term maintainability.
Official SDKs for seamless integration into your applications.
@aiassesstech/sdk-tsFull-featured SDK for Node.js and browser environments
aiassesstechNative Python SDK for data science and backend integrations
@aiassesstech/sdk-wrapperLightweight wrapper for quick integrations
We believe the platforms you trust should be transparent about their engineering investment. The metrics on this page are real, verifiable, and updated regularly. When you use AI Assess Tech, you're using a platform built with the same rigor we expect from the AI systems we assess.
Metrics last updated: March 26, 2026
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