Field notes

Engineering notes from production ML.

No listicles. No half-baked takes. Just things we learned building retrievers, agents, and eval harnesses for real clients.

Engineering

The Architecture of Axiom Engine: Building a Zero-Hallucination RAG Pipeline

A deep dive into the 4-node LangGraph circuit powering Axiom Engine V4 — how the Librarian, Editor, Architect, and Prosecutor nodes collaborate to achieve 99.9% verifiable output with adversarial self-correction.

Owadokun Tosin Tobi12 min read

Engineering

Physics-Informed MLOps: Using Z-Scores to Detect Drift Before It Breaks Prod

Why I use 2.5σ thresholds instead of arbitrary alert rules. A practical guide to building self-healing monitoring with physics-grounded anomaly detection and automated RAG-powered root cause analysis.

Owadokun Tosin Tobi8 min read

Research

Bridging IDEs to Cloud AI with the Model Context Protocol

How MCP lets Claude and Cursor talk directly to a FastAPI cloud backend — enabling secure, context-aware AI architectures without fragile prompt engineering or manual context stuffing.

Owadokun Tosin Tobi9 min read

Architecture

Why Your AI Agent Needs a Critic: Self-Correction Loops in Production

Practical patterns for building agentic workflows that don't silently fail. From NewsAgent Pro's 5-node pipeline to Axiom's adversarial prosecutor — how to bake verification into your LangGraph architecture.

Owadokun Tosin Tobi10 min read