Agents that do the work.
Not chatbots. Not workflows. AI teammates you give real work to. They sign in to your tools, use them like you do, and bring it back done.
130+ integrations. Bring the tools your team already uses.
AI tools weren't built to work together
You're stuck stitching together disconnected tools, babysitting chatbots, and doing the orchestration yourself.
Too many tools, too little coordination
Zapier for automation, ChatGPT for writing, custom scripts for data — nothing talks to anything else.
Your AI forgets everything
Every conversation starts from zero. No memory, no context, no continuity.
Manual orchestration doesn't scale
You're the router, the scheduler, and the quality checker. That's not leverage — that's a full-time job.
Chatbots answer. They don't act.
You get a plan, not execution. You still copy, paste, click, and follow up yourself.
No visibility into what's happening
Agents run somewhere. You hope they worked. There's no dashboard, no logs, no audit trail.
Three steps to your AI workforce
Define your agents
Give each agent a role, instructions, and the tools it needs. A content writer with WordPress access. A developer with GitHub. An analyst with BigQuery.
Build workflows
Connect agents into visual flows that mirror how a real team works. When a customer emails, the support agent triages, the engineer investigates, and the manager gets a summary.
Monitor and scale
Watch your AI team in action. Track costs, review decisions, adjust behavior. Start with one agent, scale to a full department.
Meet you where you already work.
One identity, one memory across every channel. Your agents have names, live in your chat, remember what they learn, and check back in on their own.
- Chiefbooked the venue, sent the invite
- Inbox Managerinbox at zero, 5 drafts parked
- Account Managerinvite out to Vicky
- Talent Scout3 intros drafted, held for review
- Expense Managerreport filed, 9 receipts
Today · 9:41 AM
Everything a real teammate needs.
Not a chatbot with a knowledge base. A coworker with a computer, a memory, and a place in the team.
Its own computer
A real browser. It logs in, clicks, types, pulls data, and finishes the task end to end.
Persistent memory
Correct it once. It remembers.
“Invoices go to billing@, never sales@.”
Visual flow builder
Drag a trigger, drop an agent, branch on a condition.
Full transparency
Every message, every tool call, every decision — replayable.
Real-time monitoring + cost
Live status, hard budgets, full cost attribution.
Approval gates
It asks before it acts on anything that matters.
Build your AI workforce like a company.
Every agent has a name, a role, the tools it needs, and a place in the org. They hand work off to each other and share one memory.
Chief
Chief of staff
Handles
- Route incoming work to the right teammate
- Summarize the day across every agent
- Escalate anything that needs your call
Tools
Reports to
You
What teams hand to Nova.
Pick a team. See the work its agents already own.
- Research a prospect before every call
- Draft outbound in your voice
- Keep the CRM current
- Summarize every demo + next steps
- Chase stale deals
- Build the weekly pipeline report
Comparison
Nova vs. the old way
See how an always-on agent platform compares to the tools you're stitching together today.
| Capability | ChatGPT | Zapier / Make | Manual | Nova |
|---|---|---|---|---|
| Completes full tasks end-to-end | Text only | Rigid triggers | Yes, slowly | |
| Runs 24/7 without you | ||||
| Remembers past context | Per-conversation | In your head | ||
| Connects to your tools | ||||
| Adapts to task complexity | Same model | Fixed rules | You decide | |
| Coordinates multiple agents | Linear chains | You coordinate | ||
| Real-time monitoring & logs | You check |
Completes full tasks end-to-end
Runs 24/7 without you
Remembers past context
Connects to your tools
Adapts to task complexity
Coordinates multiple agents
Real-time monitoring & logs
FAQ
Frequently asked questions
ChatGPT answers questions in a chat window. Nova agents take action — they use your tools, follow multi-step workflows, and complete tasks autonomously. Think of it as the difference between asking for advice and hiring someone to do the job.
Nova agents run on cloud infrastructure 24/7. You can set up scheduled workflows, event-driven triggers, or continuous monitoring — they execute even when you're offline and deliver results to Slack, email, or any connected tool.
Content publishing, data analysis, customer support triage, code reviews, report generation, competitive monitoring, email management, and more. Nova connects to 130+ integrations so agents can take action across your entire stack.
No. The visual flow builder lets you design workflows by dragging and connecting nodes. Describe what you want in plain language — Nova handles the technical execution.
Zapier and Make run fixed, rule-based automations that you build step by step. Nova agents understand context, make decisions, and adapt to complex multi-step tasks. They're closer to a team member than a workflow tool.
Yes. Nova's orchestration engine lets you build multi-agent workflows where agents hand off work, share context, and collaborate — just like a real team. A support agent triages, an engineer investigates, and a manager gets a summary.
You choose where it runs. Nova works on Firestore, Cloudflare D1, or Postgres, and deploys to Cloudflare, GCP, AWS, or your own hardware. Agent memory is scoped per user, every action is logged, and you can see what each agent is doing at any time.