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 AI RevOps Stack: 10 Trending GitHub Repos You Need (2026)
Move beyond basic prompting. Discover the top open-source GitHub repos, from agent memory to stealth browsers, essential for automating your RevOps workflows.
AI Pricing Strategy: Why SaaS Models Fail for AI Startups
Are you underpricing your AI product? Find out why AI startups are ditching SaaS per-seat models for services-as-software and outcome-based pricing.
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
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