SOLUTIONS / AI COWORKER

Your AI coworker that actually does the work

Your team gets a pod of specialized agents that handle outbound, paid ads, support triage, code drafting, and more. Each agent has its own sandbox, memory, and scope, so work persists and compounds. Agents show up in Slack, email, and iMessage where your team already works.

Skydive agents at work in Slack

Real work, handled by agents

A capable coworker who takes real work off your plate and follows through, right where you already work.

#
ops
Rain
Take the office move logistics. I don't want to think about it.
Carlo
APP
I've got it. I booked the movers, scheduled the internet cutover, and built a checklist with dates. I'll flag you only for the two decisions that need you.
Rain
Incredible, one less thing.
#
growth
Rain
Chase the three vendors who haven't sent quotes.
Gold
APP
Done, and I followed up again this morning on the two who still hadn't replied. Two quotes are in, one promised by Friday. I'll keep chasing without you asking.
Rain
Love that it just keeps going.
INTEGRATIONS

Works inside your everyday tools.

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.

and more

Built from a description, not a workflow.

You don't get one assistant in a chat. You get a team of coworkers that hand off to each other and keep running while you sleep.

Built from a description, not a workflow

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.

A team of agents, not a single chatbot

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.

Built for 15 to 50 person funded startups

Enterprise platforms need formal IT review, procurement cycles, and enterprise pricing. Skydive is self-serve, prosumer-priced, and accessible to the operator who needs output today. No IT review, no procurement backlog, get started in minutes.

We run on Skydive too.

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"

Marcus Lowe, Co-Founder
FAQ

Frequently asked questions

How is Skydive different from workflow builders like Zapier or Make?

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.

How is Skydive different from single-agent tools like ChatGPT or Claude?

Single-agent 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. Agents have their own identities, scopes, and histories, and they collaborate automatically.

How long does it take to get started?

Sign up, describe the outcome you need, connect the tools, and start delegating. Most operators have their first agent running in under 10 minutes. Pre-built templates are ready to use.

Do I need engineering resources to set up Skydive?

No. Skydive is built for operators, not engineers. Each agent has its own computer with a browser, so it logs into your existing tools the way a human operator would, and no API integrations are required.

Can I share agents across my team?

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.

What happens if an agent makes a mistake?

Agents remember context and learn from corrections. The judgment you build into an agent persists, so it gets better over time. You can review agent output before it goes live, or let the agent handle routine work automatically.