Trevin’s Notes

Your agent knows what you want. Who else is it working for?

An agent can understand you perfectly and still choose from a list someone else paid to shape.

Oct 11 • Trevin Chow

1

August 2026

Building a Hermes profile for my 12 year old

Sharing a blueprint for how I exposed AI to my kids with Hermes

Aug 21 • Trevin Chow

June 2026

I never tell my agents to use YAGNI

How a good principle becomes a specification-follower that strips the soul out of what you're shipping

Jun 30 • Trevin Chow

May 2026

10 Principles for Agent-Native CLIs

Designing CLIs when agents are the primary user

May 1 • Trevin Chow

5

3

March 2026

7 Principles for Agent-Friendly CLIs

A design guide for your CLI's other consumer

Mar 26 • Trevin Chow

7

Design exploration with AI agents

A workflow for exploring product and UI designs with AI agents

Mar 5 • Trevin Chow

2

February 2026

Your Team Is Your Flow State

The conditions for doing your best work are mostly created by the people around you

Feb 21 • Trevin Chow

1

Performance Reviews Aren't Just for Feedback

AI requires no appreciation. Your team does.

Feb 10 • Trevin Chow

HZL: A Task Ledger for AI Agents

What happens when human tools don't fit machine workflows

Feb 3 • Trevin Chow

3

3

1

January 2026

Stop Thinking in Human Time

The economics of 'later' have changed

Jan 16 • Trevin Chow

4

1

2026: The Year of Agent Orchestration

Why the next wave of AI gains will come from coordination, not capability

Jan 9 • Trevin Chow

5

December 2025

From Prompts to Pipelines: The OS Layer AI Agents Are Missing

Prompt engineering was a coping mechanism. Context engineering is the real work

Dec 17, 2025 • Trevin Chow

1