SOLUTIONS / AGENT DESIGNER

Agent designer: build AI agents in minutes, not months

Describe the outcome you need and Skydive builds the agent around it. Each agent has its own sandbox with a browser, logs into your existing tools, and starts handling real work across Slack, email, iMessage, and web chat. No workflow canvas, no prompt engineering.

Skydive agents at work in Slack

Real work, handled by agents

Describe the outcome you want and the agent is designed around it, then refine it live, no code.

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general
James
Make the case studies lead with the metric, not the company name.
Torrent
APP
Updated. It now opens each with the headline result. It remembers the preference, so every future draft follows it. Here's the revised version.
James
Much stronger, thanks.
#
general
James
Let marketing run this themselves.
Citrus
APP
Shipped. Marketing has use-access now, and their edits refine it for everyone. You keep edit control.
James
Perfect handoff.
INTEGRATIONS

Works inside the tools you already run on

Agents log into your existing tools the way a human operator would: Slack, Gmail, Linear, Stripe, GitHub, Sheets, Meta, Intercom, Notion, and more. Authenticated connections happen once, then the agent handles the work.

and more

Built from a description, not a workflow

You don't build the workflow. You describe the outcome, and Skydive builds the agent, its logic, its connections, and its handoffs.

Built from a description in minutes

Workflow builders make you the engineer: you decide the how and build the workflow step by step. With Skydive, you describe the outcome and the platform handles the logic, the connections, and the handoffs. No workflow canvas, no prompt engineering, no step-by-step construction.

Anyone on the team creates agents

No technical setup, no workflow construction, no prompt engineering required. Permissions control who can view, use, or edit each agent. The agent that started as one person's experiment becomes the team's default way of handling that work.

A team, not one assistant in a chat

Skydive ships a team. Work persists, hands off between agents, and keeps running while you sleep. One finds prospects, one keeps the CRM clean, one drafts emails. The work compounds because the team compounds.

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?

Skydive builds the agent from your description. Workflow builders make you the engineer: you decide the how and build the workflow step by step. With Skydive, you describe the outcome and the platform handles the logic, the connections, and the handoffs. No workflow canvas, no prompt engineering, no step-by-step construction.

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

Skydive ships a team, not one assistant in a chat. Work persists, hands off between agents, and keeps running while you sleep. Single-agent chat tools close when the tab closes. One finds prospects, one keeps the CRM clean, one drafts emails. The work compounds because the team compounds.

Can my team actually use this, or is it just for technical users?

Anyone on the team creates agents. No technical setup, no workflow construction, no prompt engineering required. Describe the outcome you need and Skydive builds the agent around it. Permissions control who can view, use, or edit each agent. Useful agents spread the way useful things inside companies always spread.

What does onboarding look like, and how long until value?

Built from a description in minutes. Spin up an agent for a specific pain, connect what it needs, and start delegating real work. No quarter-long onboarding, no formal IT review. Pre-built templates for inbox triage, lead enrichment, CRM hygiene, content drafting, research, and support triage are productive on day one.

Will this integrate with the tools we already use?

Agents log into your existing tools the way a human operator would: Slack, Gmail, Linear, Stripe, GitHub, Sheets, Meta, Intercom, Notion, and more. No API keys to manage, no custom connectors to build. Authenticated connections happen once, then the agent handles the work.

What if the agent makes a mistake or needs correction?

Agents remember context and history. Corrections and feedback persist, so the agent gets better every time someone teaches it something new. An agent that has been corrected by five operators carries more accumulated taste than any one of them alone. The judgment compounds.