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Agentic-Ai

The Agent Harness

Deep Dive AI Engineering · Jul 20, 2026 · 14 min read
A model can only generate text. The harness is the loop around it that calls tools, manages context, gates actions, and decides when to stop.
The anatomy of an agent harness: a loop around a language model with a budget, a brake, and a witness

The Learning Loop Is the Moat: An Architect's Read on Nadella's Reverse Information Paradox

Update Industry · Jul 13, 2026 · 3 min read
Satya Nadella just named something every architect should pin to the wall. Kenneth Arrow’s old information paradox said a seller can’t prove information’s worth without revealing it: disclose, and you’ve given it away. AI inverts it: now the buyer leaks. To get real value from a model you feed it your proprietary context, and the vendor learns more about you than you learn from it.
The enterprise AI moat is the owned learning loop — private evals and traces behind a model gateway inside the tenant boundary

Microsoft Foundry's Production-Agent Release: A Solution Architect's Read

Update Platform Updates · Jul 9, 2026 · 4 min read
Microsoft’s Build 2026 announcement, Frontier models and production agents advancing Microsoft Foundry for the agentic era, reframes Foundry from a model catalog into a place you run production agents. The headline that makes it real: hosted agents in Foundry Agent Service are now generally available, and the catalog spans both OpenAI and Anthropic frontier models (1,900+ on Microsoft Learn, not the “11,000” some coverage repeats).
Microsoft Foundry — a managed runtime for production agents with an open governance specification

What Is an AI Agent? (And When Should You Build One)

Deep Dive AI & LLM · Apr 7, 2026 · 12 min read
Every vendor selling software right now claims their product is “agentic.” I’ve seen chatbots with a system prompt called an agent. I’ve seen a scheduled Python script described as autonomous AI. I’ve also shipped actual agents to production, at an insurance company, handling FNOL triage, policy lookup, and claims routing. The gap between what gets marketed as an agent and what you’d actually build in production is wide, and it’s expensive to get wrong.
What Is an AI Agent? — architecture diagram of an agent loop with tools, memory, and planning