Field notes.
Real opinions about what AI is getting right and wrong for operators in 2026, written by us, in our own voice, not a content calendar. Plus the occasional teardown of something Izzy built and what it taught us.
Articles

The gate belongs inside the tool: giving an AI agent write access to a production CRM
An AI agent will eventually try something dumb at scale. The gate design that lets me write to HubSpot anyway: previews, typed record counts, and undo.

It's not the tools. It's the shape
AI didn't just make our work faster. It changed what our work actually is, and what makes a business or a person valuable now.

Claude Code Dynamic Workflows Explained
Dynamic workflows turn one Claude Code chat into maker, checker, and fixer agents. 57% of organizations already deploy multi-stage agent workflows today.

Stop Prompting AI: Why Autonomous Loops Drive Real ROI
Prompt engineering is the wrong paradigm. Learn how Dev, RevOps, and HubSpot teams are maximizing ROI by replacing single prompts with autonomous AI loops.

HubSpot Agent CLI vs MCP vs Custom API: Which Wins?
HubSpot Agent CLI vs MCP vs Custom Skill: Which is best for your CRM? Discover the setup times, limits, and winning architecture for your Claude Code agents.

How to Build an AI-Native Company: The YC Blueprint
Discover YC Partner Diana Hu’s framework for AI-native companies. Learn how closed loops, token maxing, and lean org charts drive 5.7x more revenue.

AI-Native RevOps: A 12-Month Roadmap to Transform Revenue
Stop doing AI theater. Discover how to build a true AI-native RevOps strategy with our 12-month roadmap. Fix your CRM data and automate core workflows today.

Claude Code for RevOps: Automate Pipeline Cleanup in 30 Mins
Learn how to automate RevOps workflows like pipeline cleanup and territory reporting using plain English with Claude Code. No coding experience required.

Stop AI Hallucinations in RevOps with Eval Datasets
AI hallucinations cost businesses billions. Learn why vibe coding in RevOps is dangerous and how to build a production-grade eval dataset in just one week.
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