Topic

AI Agents
Articles and playbooks.

Every Zrevick article tagged AI Agents — how founders turn AI-built products into companies that sell, market and support at scale.

AI agents have moved from enterprise pilots to the founder's toolkit, and the difference is judgment. These articles cover the five archetypes that touch revenue — SDR agents that research and book, voice agents that never miss a call, chat agents that convert site visitors, content agents that draft from your context, and support agents that clear the routine tickets. Each guide includes a deployment plan, the oversight pattern that keeps output on-brand, and cost-per-outcome math you can run on your own funnel before spending anything. You will also find the honest limits: what agents cannot decide (strategy, pricing, positioning) and where a human stays in the loop permanently. Start with the business-agent overview, then choose the archetype that matches the motion costing you the most time today. If you only read one section before deploying, make it the oversight pattern: the founders who succeed with agents are rarely the most technical — they are the ones who define exactly where human judgment enters the loop and automate everything below that line.

Every article in this section is written for the same reader: a technical founder running sales, marketing and support with a team of one to ten, usually while Claude Code or Codex ships the product. New guides are filed under their topic as they publish, so this page grows rather than ages. If you are mid-decision, start with the most recent article; if you are new to the topic, start with the overview and work forward. Skim the summaries first, then commit to the pieces that match the workflow you are fixing this quarter.