Skydive ships a team of agents by default, not a single assistant. Each has its own identity, scope, and sandbox with a browser, and they hand off to each other without anyone mapping the steps. One agent's output becomes another's input, and the work compounds across the team.
A team of agents by default, each with its own scope. One agent's output becomes another's input and the work compounds.
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.
One agent's output becomes another's input. The work compounds across the team instead of resetting inside a single chat.
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"
Multi agent AI refers to systems where multiple agents work together, each with its own identity, scope, and capabilities. Skydive ships a team of agents by default, not a single assistant. Each agent has its own sandbox with a browser. They hand off to each other without anyone mapping the steps in advance. One agent's output becomes another's input, and the work compounds across the team.
ChatGPT Agent and Claude Cowork are single-agent modes inside a chat interface. Skydive ships a team of agents that persist across sessions and hand off to each other. Work doesn't reset when the tab closes. Agents show up in Slack, email, and iMessage where you already work. The judgment you teach them this week stays next quarter.
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. Agents figure out the steps. They navigate across tools, log in, click, type, pull data, and update systems the way a human operator would.
Each agent has its own sandbox with a browser. They log into your existing tools the way a human operator would, using the credentials you provide. No API integrations to wire. Agents authenticate like humans, so there's no new attack surface, and each agent's work stays isolated and auditable.
Yes. Anyone on the team can create agents. Permissions control view, use, or edit on a per-agent basis. Useful agents spread the way useful things inside companies always spread. A multiplayer agent corrected by five operators carries more accumulated taste than any one of those operators alone.
Agents learn from corrections. Review output, correct as you go, and the agent remembers the feedback for next time. The judgment you teach an agent this week stays next quarter. Mistakes become part of the learning loop, not a reason to abandon the tool.
