BRIK64
AI-Verified Code Generation

Tell your AI what to build. The compiler proves it's correct.

The first language designed for AI code generation. 128 operations. Automatic verification. The LLM writes PCD, the compiler checks Φc = 1, and if it fails, the error becomes the next prompt. Repeat until certified.

brikc ai

$ brikc ai "Generate a drone speed controller with wind limits"

  LLM generating PCD...

  Φc = 0.847 — missing case: wind > 120 km/h

  LLM fixing... (attempt 2/5)

  ✓ Φc = 1.000 — all 12 paths verified. Certified.

  Output: drone_speed.pcd + drone_speed.cert.json

The verification loop

1. Prompt → LLM generates PCD directly

2. Compiler checks Φc

3. If Φc ≠ 1 → error becomes next prompt

4. Repeat until Φc = 1 (typically 1-3 iterations)

5. Output: certified code + certificate

Why this changes everything

Every other language trusts the AI. BRIK64 verifies it. Free. Ready today.

Auto-verified output

Tell your AI what to build. The compiler proves it's correct. If it fails, the error becomes the next prompt. No human review needed.

Repeat until certified

The compiler error IS the prompt. The AI fixes the exact issue. 1-3 iterations. 95% convergence rate. Fully automatic.

128 operations. That's it.

64 certified + 64 extended = 128 operations. The AI picks from a finite, verified set. No infinite library combinations. No guessing.

Works with every LLM

Claude, GPT, Gemini, Llama, Mistral — doesn't matter. The proof is in the compiler, not the model. Any LLM generates certified code.

One file. 14 targets.

AI generates one PCD file. The compiler outputs Rust, JS, Python, C, Go, WASM, and 8 more. Write once, deploy everywhere. Today.

AI safety guardrails

Policy circuits verify AI actions before execution. The AI proposes, the circuit disposes. ALLOW or BLOCK. No middle ground.

The difference

Copilot / Cursor“Hope the AI wrote correct code”
Devin / Codex“Hope the tests catch the bugs”
brikc ai“The compiler proves it's correct”