Thinking about deterministic AI
Deep dives into decision infrastructure, governance patterns, auditability, and building agent systems you can trust in production.
Infrastructure for Deterministic AI Decisions
A complete guide to building decision infrastructure that makes high-stakes AI decisions explicit, auditable, and safe to change. Covers the propose-then-decide architecture, deterministic decision points, audit-grade logging, and safe rule rollout.
decision protocol SaaSWhat Is a Decision Protocol? The Concept Every SaaS Team Needs in 2026
SaaS teams encode product intent in code, docs, and people — none designed to be queried, tested, or rolled back. A decision protocol is the fourth container: a named, versioned, explicit record of business logic.
AI agent governance frameworkThe Agent Governance Stack: Four Layers Every Enterprise Needs Before Going to Production
Most enterprises treat AI governance as a compliance checklist. It is not — it is an architecture. This article introduces the four-layer governance stack every enterprise needs before deploying AI agents to production.
AI decision plane architectureSeparating Logic from Models: Why Your AI System Needs a Decision Plane
When teams build AI systems, they put decision logic inside prompts or model calls — fast to demo, impossible to govern. The decision plane concept offers a better model: all consequential logic in an explicit, testable, versionable layer.