What is an agent harness, really?
The loop around the model — planning, tools, memory, reflection — is doing most of the work in modern agentic systems.
May 19, 2026 · 6 min read
Short notes on private, on-device AI — why it matters, how it works, and what to actually run on your own hardware.
The loop around the model — planning, tools, memory, reflection — is doing most of the work in modern agentic systems.
May 19, 2026 · 6 min read
ReAct, Reflexion, Tree of Thoughts, Self-Refine, Toolformer — what the research actually says, conservatively.
May 19, 2026 · 6 min read
A small on-device model in a thoughtful loop is privacy-preserving leverage — with honest trade-offs in battery and heat.
May 19, 2026 · 6 min read
Privacy by architecture beats privacy by promise. Why the on-device shift is the only one that holds up.
May 19, 2026
Google's open model that runs on a phone. Naming, hardware needs, and why open weights matter.
May 19, 2026
"We don't train on your data" is a promise, not a guarantee. What the policies actually allow.
May 19, 2026
What hardware works, what to expect, and a clean step-by-step. No tinkering required.
May 19, 2026
More to come — follow along.