AI Agent Safety: The Substrate Pattern in Practice
How to implement the Substrate Pattern for AI agent safety in production. The layer below the model that decides what the agent is allowed to do.
How to implement the Substrate Pattern for AI agent safety in production. The layer below the model that decides what the agent is allowed to do.
How to implement AI governance for banks, insurers, and asset managers. The 4-tier Tiered Governance Model aligned to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
How to implement federated learning in production. Framework selection, data partitioning, privacy mechanisms, aggregation, and deployment. The consulting practice of the Fed-Focal Loss author.
A practical guide to taking an AI-generated codebase (Lovable, Bolt, v0, Cursor) to production. Code audit, Supabase RLS hardening, deployment, observability, and compliance.
Why Rust is the right choice for production AI infrastructure. Performance, safety, and the ecosystem. A practical guide from the founder of Neul Labs.
How to audit and harden Supabase Row Level Security policies. The most common security vulnerability in AI-generated apps, and the fix.