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

Outcome-Based AI Pricing: Who Counts the Outcomes?
Intercom bills an AI outcome when the customer goes quiet after an answer. Zendesk refuses to. Same month, a 2.9x invoice spread. What to demand before you sign

How to Restructure Engineering Teams for Autonomous AI Agents
90% of teams use AI coding tools, but many see lower stability. Learn how to restructure your CI pipelines, specs, and security for autonomous AI agents.

Agentic Engineering: From Writing Code to Orchestrating AI
The developer's role has shifted from typist to conductor. Learn how multi-agent orchestration and AI code review are redefining software engineering today.

How to Cut AI Coding Tool Costs by 30-60% Without Losing Quality
Overspending on AI coding tools? Learn how engineering teams slash Copilot, Cursor, and Claude Code costs by 30-60% without sacrificing code quality or output.

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.

The CFO-Ready Business Case for AI Revenue Tools
31% of AI sales pilots fail before rollout. Learn how to secure budget for AI revenue tools with a 4-layer ROI model, spend benchmarks, and a 6-slide deck.

Build an AI-Powered Revenue Engine: Complete Strategy Guide
Transform your RevOps architecture. This complete sales automation strategy guide reveals the 4 critical layers of a high-performing AI revenue engine.

How Do AI Agents Work? The Complete Architecture Deep-Dive
Only 12% of AI agents in production achieve high ROI. Discover the underlying architecture of AI agents, including memory, tools, and multi-agent frameworks

Agentic CRM: Why Revenue Teams Will Vibe Code Their Own AI Agents
Gartner says Agentic CRM is agent washing. Real AI requires autonomous loops, revenue teams, vibe code via coding agent Learn why the SaaS layer is disappearing
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