Topic

Sales Technology
Articles and playbooks.

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

The sales stack a founder assembles in year one sets the ceiling for year three. These articles evaluate the technology choices that matter most: all-in-one platforms versus point tools, AI agents versus human reps, and the integrations that keep context flowing from first touch to closed deal. You will find frameworks for deciding when to consolidate — usually when handoffs between tools start losing context more often than they save time — and for when a dedicated tool earns its place. There are also comparisons across the mainstream categories, from CRM sync quality to enrichment data coverage, written for teams of one to ten. The aim is not the fewest tools or the most tools; it is the stack where every piece of customer context stays connected. Treat every guide here as a checklist rather than a verdict: tools change monthly, but the evaluation criteria — integration depth, data portability, control, cost per outcome — are stable. Run any new tool through them and the wrong choices eliminate themselves before they reach your stack. Consolidate when handoffs lose more context than they create; specialize only where a point tool is genuinely best in class.

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.