Whenever positions itself as a platform for AI workflow automation, covering deterministic flows, AI steps, and full agents in a single place. Rather than only offering a visual builder, it treats workflows as something you can define, version, and deploy like software, which shapes how teams adopt it.
The core workflow combines triggers and steps: a form response can log a lead in a spreadsheet, send a promise of reply, and alert a rep in Slack. Users can build inside the app or deploy from coding agents such as Claude Code, Codex, or Cursor, and the platform runs the workflow on its own infrastructure with pricing per run.
It is aimed at engineering and operations teams already comfortable with code and agent tooling, especially those who want automation logic kept in their repository instead of a proprietary editor. Templates and integrations help speed up common cases like lead follow-up and issue triage.
A practical approach is to start from a template or an existing script, deploy it from your coding agent, and confirm the trigger and step behavior before scaling up. Because billing follows runs, monitoring execution volume early helps keep costs predictable.
In short, Whenever is a code-friendly automation runtime for teams that want AI workflows to live alongside their development process.
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