Topic

AI Tools
Articles and playbooks.

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

New AI tools ship weekly, and most of them will not matter to your business. The hard part is choosing the few that compound. These articles evaluate tools the way an operator would: integration depth (does the tool know what the rest of your stack knows), data portability (can you leave without losing your history), oversight controls (can you stop any action with one click) and real cost per outcome rather than list price. You will find category guides — SDR tools, receptionists, support agents — and head-to-head comparisons written for small teams rather than procurement committees. The goal is a stack that grows with the company instead of against it: fewer subscriptions, more shared context, and a clear reason for every tool that survives the quarterly review. When you evaluate your next tool, give it the same bar you would give a hire: a clear job to be done, a trial period with real work, and a defined point at which you decide to keep it or let it go. The guides here supply the questions — the trial supplies the answer.

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.

The rest of your startup stack

You built the product.
Now build the company.

Start with one workflow and replace the subscriptions, integrations and troubleshooting that slow founders down.