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RAG in Plain English: How Retrieval Actually Makes an Agent Useful

RAG in Plain English: How Retrieval Actually Makes an Agent Useful

RAG in Plain English: How Retrieval Actually Makes an Agent UsefulDrew Donaldson
Published on: 21/07/2026

Retrieval-augmented generation explained without jargon: how RAG works, the chunking failure that breaks real implementations, and when to skip RAG entirely.

Data & Intelligence
Making Agents Reliable Enough to Leave Alone

Making Agents Reliable Enough to Leave Alone

Making Agents Reliable Enough to Leave AloneDrew Donaldson
Published on: 07/07/2026

Moving an AI agent from impressive demo to running unsupervised is a measurement problem, not a model one. Here is what eval harnesses, guardrails, and observability actually take.

Agentic AI & The Harness Races
Integration Is the Product: A Quiet Truth About Enterprise AI

Integration Is the Product: A Quiet Truth About Enterprise AI

Integration Is the Product: A Quiet Truth About Enterprise AIDrew Donaldson
Published on: 06/07/2026

In enterprise AI the model is now a commodity and systems integration is the real product. Why integration drives cost, value, and lock-in, and how to evaluate vendors accordingly.

Buy Vs Build - AI Implementations & Integrations