Your team reviews agent activity in plain language. The timeline shows what the agent did, which tool it used, and why it made that choice. Every action is logged and auditable, so you can trace any decision and scale the agents that work.
Full run timelines across every agent, so you can review, debug, and scale what works.
Each agent has its own computer with a browser, so it logs into your existing tools the way a human operator would, navigating across systems no one has wired an integration for.
It's visibility into what your agents actually do: the timeline of actions, the tools used, and the reasoning, all in plain language your team can review.
Workflow builders make you the engineer. You decide the how and construct every step. Skydive builds the agent from your description of the outcome. No canvas to construct, no logic to wire, no prompt engineering. Pre-built templates are productive on day one.
Most AI tools give you one assistant in a chat that closes when the tab closes. Skydive ships a team. Work persists, hands off between agents, and keeps running while you sleep.
Self-serve, prosumer-priced, no IT review. Granular permissions let anyone on the team create agents, and useful agents spread the way useful things inside companies always spread.
We don't just build Skydive, we run our company on it. Our team puts agents to work every day (they even helped build this page).
"Skydive truly transforms your entire company by automating all of the tedious tasks that consume so much of your day"
ChatGPT and Claude are single-agent chat tools. Work resets when the session ends. Skydive ships a team of agents that hand off to each other, remember context across conversations, and persist judgment over time. Agents live in Slack, email, and iMessage, not a separate chat window you have to remember to open. The work compounds instead of resetting.
No. You describe the outcome you need, and Skydive builds the agent around it. No workflow logic to wire, no prompt engineering, no canvas to construct. Your team reviews agent activity in plain language. The timeline shows what the agent did, which tool it used, and why it made that choice.
Most teams are productive on day one. You describe the agent, connect the tools it needs, and start delegating work. Templates for common use cases like inbox triage, CRM hygiene, and support drafting speed up the process. The first week, you review everything. By week four, the agent handles the routine work on its own.
Agents log into your tools the way a human operator would. Skydive does not store your data. Every action is logged and auditable by your team. Granular permissions let you control who can view, use, or edit each agent. You decide what data agents can access and what actions they can take.
Skydive is built for 15 to 50 person funded startups. The ICP is the Head of Ops, Chief of Staff, or GTM lead whose job is everything that doesn't fit anywhere else. Hiring is slow and politically expensive at this stage. Agents give your team leverage without waiting months to hire or justify headcount.
Agents work inside Slack, Gmail, Stripe, GitHub, Linear, Notion, Google Sheets, Intercom, Ahrefs, and dozens more. Each agent has its own browser and can navigate tools the way a human operator would. No API integrations to build. Agents click, type, and pull data across systems no one has wired together.
