Category: AI Operating Systems for SMB SaaS

How does a company actually run when AI changes the cost of execution? This is the operating question for every SMB SaaS leadership team, and it is the core of my writing. These essays cover AI-native operating models, agent governance, operating cadence, and the organizational design decisions that separate companies that adopt AI from companies that run on it. Written from the operator’s seat, not the vendor’s. Start with Why AI-Native Execution Is the Real Operating System Upgrade and AI Agents Are Your Digital Employees.

  • How I rebuilt Notion for a multi-AI workflow with Codex

    A useful multi-AI workflow needs one shared context layer, one operational system of record, and a small adapter for each AI tool. My Notion workspace had become the center of my AI workflow. It held notes, meeting transcripts, project material, research, and the context I wanted available to Claude and ChatGPT. It was capable, but…

  • The Fact Check is the Product for Competitive Briefs

    You can ask any capable model for a competitive brief on a company and have something back before your coffee cools. Six rivals, a few revenue figures, an analyst quote, a tidy summary. It reads well. It reads finished. That polish is the problem. TL;DR: the prompt is free to use at the bottom of…

  • A Four-Agent Starter Fleet for Claude Code (with a Notion brain)

    Most Claude Code subagent tutorials stop at the same place: here is the `model` field, here is how you set Haiku versus Opus, go forth. That is the mechanic, not the system. What nobody hands you is a working hybrid model workflow you can copy in its entirety, with a reason for every slot and…