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Review: Distributed AI Systems
What I learned about the systems behind language models
Oct 8 • Flurin Gishamer

August 2026

Review: Building Agent-Powered Applications
A Dense Tour of Modern AI Engineering, From LLMs to Agents
Aug 17 • Flurin Gishamer

June 2026

A short history of looking
Why the only prompting technique that does not go stale is understanding what the model attends to.
Jun 26 • Flurin Gishamer
The Emperor's New Agent
How measurement turns an agent demo into evidence of improvement
Jun 8 • Flurin Gishamer

May 2026

Why AI-Native Is Non-Negotiable in 2026
Four investments. Compound or catch up.
May 28 • Flurin Gishamer
The Most Important Role in an AI-Native Company
Give domain experts the time, training, and authority to shape AI adoption
May 23 • Flurin Gishamer
The Agent Mesh
The control plane for the agent era
May 18 • Flurin Gishamer

September 2025

Guardrails for AI Agents
A Risk-Based Approach to AI Agent Safety
Sep 21, 2025 • Flurin Gishamer
A Domain-Driven Approach to MCP
Why Business Domains, Not Tech Stacks, Are the Key to Building Robust AI Agents
Sep 12, 2025 • Flurin Gishamer
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