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

Claude Code Dynamic Workflows Explained
Single-window AI breaks at scale , context degradation hits 85%, self-bias skews results by 50%. Dynamic workflows in Claude Code fix this by...

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.

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.

How to Build Data Infrastructure for AI Agents (Complete Guide)
Discover how to build a scalable data infrastructure for AI agents. Learn why real-time streaming beats batch ETL and the 5 architecture layers you need.

Context Engineering for AI Agents: Beyond IVR & Flow Builders
Learn why most AI agents fail by forcing complex requests into rigid paths and how context engineering offers a better approach.

LLM Wiki: The Self-Writing Knowledge Base Your Claude Code Setup is Missing
Developers spend 64% of their day searching for answers they already have somewhere. Karpathy's LLM Wiki pattern slashes that by building a...

The AI Builder's Guide to Building Skills for Claude Code
This guide covers building custom SKILL.md files from first principles to multi-skill architecture, with essential security patterns.

ReAct Loops vs Deterministic Orchestration for AI Agents
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