Runner

The core problem Runner targets is execution debt: the gap between an AI telling you what to do and something actually doing it. Rather than generating a recommended action list, Runner pulls data from connected apps — email, calendar, Slack, cloud storage, CRM — and carries out the task itself. Ask it to find open loops across your week, and it checks your inboxes, calendars, and group chats, then surfaces what’s unresolved with the relevant documents attached. Ask it to book a meeting, and it resolves the right contact, checks calendars, and attaches performance data before the invite goes out.

The differentiating architectural choice is the embedded Chrome browser. When Runner hits something it can’t resolve through a direct integration — a venue availability, a public record, a competitor’s pricing page — it opens a separate browser instance, searches, and brings the result back into the workflow without blocking your screen. This means tasks that would normally require a tab-switching detour get absorbed into the same session.

Runner fits teams where the bottleneck is follow-through rather than strategy: sales reps enriching inbound leads before the first call, executives tracking commitments across distributed tools, or anyone whose job involves gluing together information from five sources before they can take action. It breaks down when the task requires integration logic outside its supported app catalog or when a company’s security posture requires data to stay on-premise — there is no self-hosted deployment and no API for custom extensions.

The vendor describes a permission model that starts with you approving each action and allows you to reduce those checkpoints as trust builds. A workflow library from the community gives a starting point for common automation patterns without requiring you to build from scratch.