Skydive agents take on real work inside your existing tools, navigating across systems the way a human operator would. Describe the outcome you need and the agent figures out the steps, logs into your tools, and handles the work from start to finish.
Each agent has its own computer with a browser, so it operates your tools end to end and hands back finished work.
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.
Chatbots give suggestions. Workflow builders make you the engineer. AI computer use means agents that actually operate your tools.
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"
Chatbots give you suggestions. Workflow builders make you the engineer. AI computer use means agents that take on real work inside your existing tools, navigating across systems the way a human operator would. Describe the outcome you need. The agent figures out the steps, logs into your tools, and handles the work from start to finish.
No. Describe the outcome you need in plain English. Skydive builds the agent around it. No workflow logic to wire, no prompt engineering, no canvas to construct. The agent adapts to the work instead of forcing the work to adapt to the tool.
Agents log into your tools the way a human operator would, using the same login flows your team uses. No API keys to manage, no OAuth apps to approve. Access control stays inside your existing tools. Control which agents can access which data, and revoke access anytime.
Yes. Granular permissions let you share agents across the team with view-only, use, or edit access. An agent set up by one operator becomes part of how the team handles that work from then on. Corrections and feedback from multiple team members compound into a single source of truth.
Agents work inside the tools you already run on: Slack, Gmail, Sheets, Meta, Stripe, GitHub, Linear, Notion, and more. Each agent has its own browser and can navigate any web-based tool. If a human can log in and use it, an agent can too.
Minutes, not hours. Describe the outcome you need, connect the tools the agent needs access to, and it starts working. Pre-built templates for common use cases like inbox triage, CRM hygiene, and campaign management let you get productive on day one.
