SOLUTIONS / AI AGENTS

AI agents that handle real work inside your tools

Skydive agents take on real work across your company, right inside the tools you already run on. Each agent has its own computer with a browser, logging into your existing tools like a human, and the judgment you build today becomes infrastructure that outlasts the quarter, the role, and the person who set it up.

Skydive agents at work in Slack

Real work, handled by agents

A team of agents, not a single assistant. Each one has its own scope and memory, and they hand off to each other right inside the tools you already use.

#
outreach
Dhruv
Find 100 Series B founders and draft a personal cold email to each.
Fella
APP
On it. One agent pulled 100 prospects, another enriched each from the web and cleaned the CRM, and a third is drafting personal emails in your voice now.
Dhruv
Stage them as drafts in my Gmail so I can review before they send.
#
marketing
Dhruv
How are we showing up in ChatGPT and Google right now?
Gumbo
APP
Ran a baseline across ChatGPT, Perplexity, AI Overviews, and search. You're cited on 3 of your 10 priority topics. I found the gaps and drafted answer-first articles for the ones you're missing.
Dhruv
Publish the drafts and start tracking citations.
INTEGRATIONS

Works inside the tools you already run on

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 that closes when the tab closes. You get a team of agents that persist, hand off to each other, and keep running while you sleep.

Built from a description, not a workflow canvas

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.

Spreads across the team like useful infrastructure

Anyone can build, anyone can delegate, and the work compounds without you becoming the engineer. An agent set up to handle one problem becomes part of how the whole team handles it from then on.

Productive on day one with pre-built templates

Templates for ads, outreach, SEO, support, and ops are ready to use. Describe what you need, connect your tools, and your agents get to work. Onboarding takes minutes, not weeks.

The team behind Skydive runs on Skydive

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 for ads, outreach, SEO, support, and ops 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.