What the model is allowed to do
Each pass is tightly scoped and its output must survive structural checks, binary constraints, static-versus-runtime comparison, and confidence gates. Fluent output that conflicts with the binary is rejected or downgraded.
AI proposes. Binary evidence disposes.
High-capability AI finds possibilities. Machine-code accountability decides which possibilities survive.
Provider-grade intelligence. Provider-list pricing.
Advanced model usage is pay-as-you-go and separate from the one-time software license — you pay for the AI capacity actually consumed.
The production design requires provider-authorized, policy-compliant model access. The platform is not marketed around safeguard bypasses, unauthorized endpoints, or “jailbroken” models. Exact model selection, routing, prompts, and orchestration are proprietary and can change as providers release, retire, or reprice APIs.