Ad ops guides, platform setup, technical walkthroughs
Nate writes the technical walkthroughs that ad ops teams bookmark and share. Platform setup, tag configuration, troubleshooting — he's done it all and written it down.
Leaderboard scores are saturating, ARC-AGI-3 just dropped frontier models to 0.37%, and reasoning modes cost 10-20x more per request. Here's a practical framework for evaluating which reasoning model actually works for your production workload.
By Nate HargroveAI|
The Google Research team just published the empirical case against naive multi-agent scaling. Here is how to build systems that actually improve with agent count instead of degrading.
By Nate HargroveAI|
A practical security framework for senior engineers who already have agentic AI pipelines running in production and need to systematically evaluate their attack surface against prompt injection, tool misuse, and context poisoning.
By Nate HargroveAI|
Paperclip is the open-source orchestrator that treats AI agents like employees — with org charts, budgets, goals, and governance. Here is a technical deep dive into how it works and whether you should use it.
By Nate HargroveAI|
GitHub's Section J changes the Copilot data rules starting April 24. A four-point audit checklist and decision tree for engineering orgs figuring out their actual exposure.
By Nate HargroveAI|
The Q1 2026 CNCF Technology Landscape Radar puts Helm, Backstage, and kro in the Adopt position for application delivery. The three tools have wildly different maturity profiles, and the tradeoffs get sharper when you're running AI workloads.
By Nate HargroveAI|