Always-on AI agents

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.

GitHub
Slack
Linear
Notion
Stripe
Figma
OpenAI
Anthropic
Sentry
Firebase
Vercel
Cloudflare
Netlify
Supabase
PlanetScale
PostHog
Resend
Twilio
Atlassian
Trello
Reddit
LinkedIn
X
Groq
Browserbase
Modal
Exa
Unsplash
GitHub
Slack
Linear
Notion
Stripe
Figma
OpenAI
Anthropic
Sentry
Firebase
Vercel
Cloudflare
Netlify
Supabase
PlanetScale
PostHog
Resend
Twilio
Atlassian
Trello
Reddit
LinkedIn
X
Groq
Browserbase
Modal
Exa
Unsplash
The problem

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.

How it works

Three steps to your AI workforce

01

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.

02

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.

03

Monitor and scale

Watch your AI team in action. Track costs, review decisions, adjust behavior. Start with one agent, scale to a full department.

Command center

See every agent, live.

  • Cost broken down by agent, updated as work happens.
  • One budget bar for the whole team, not a guess.
  • Drill into any agent straight from the breakdown.
Explore the command center
Cost Breakdown
Flow runs

Every step, replayable.

  • Trigger to tool call to send — the full trace, in order.
  • Tokens, cost, and duration on every node.
  • Retry a failed step without re-running the whole flow.
See how flows run
triggerSchedule Trigger
Completed
120ms
classifyLlm Classifier
Completed
2.3s$0.0042
draft-replyAgent
Running
sendGw Gmail Send Message
Pending
Inbox

Review everything in one place.

  • Every approval request lands in one queue, not scattered chats.
  • Approve, deny, or approve-all without leaving the page.
  • Countdown timers show exactly how long you have to decide.
See the review queue
Sending email...7:59
Issuing refund...13:59
Merging pull request...19:59
Fleet

Your whole team, one screen.

  • Every channel's active workers, at a glance.
  • Pending, blocked, and done counts without opening a thread.
  • Spot the stuck team before it becomes a support ticket.
Open the fleet view
Draft refund reply
Check order status
2 pending
1 in review
6 done
Decisions

No active workers

1 pending
1 blocked
3 done
Decisions
Threads

Every conversation, tracked.

  • Live status per thread — running, needs input, done.
  • Jump straight into the one that needs you.
  • Pin, group, and search across every agent's threads.
Browse threads
Threads
⠋

Escalation: acme@corp.com billing dispute

Support Triage

Q3 outbound sequence for enterprise leads

Outbound SDR

Weekly competitor pricing digest

Research Analyst

Onboard new customer — TechCorp

Success Manager

Where it lives

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.

iMessageSlackWhatsAppEmailTelegramWeb
  • 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

Hey — 3 candidate intros are drafted in your voice and parked in review. Want me to send the top one now, or hold for your read?
Capabilities

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.

app.acme.com/orders

Persistent memory

Correct it once. It remembers.

Pinned

“Invoices go to billing@, never sales@.”

Visual flow builder

Drag a trigger, drop an agent, branch on a condition.

Trigger
Agent
Branch

Full transparency

Every message, every tool call, every decision — replayable.

read_email(inbox)
browser.click('Export')
sheets.append(rows=42)

Real-time monitoring + cost

Live status, hard budgets, full cost attribution.

Today$2.41

Approval gates

It asks before it acts on anything that matters.

ApproveDeny
Your AI team

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

SlackGmailCalendarNotion

Reports to

You

By team

What teams hand to PopcornTeam.

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

PopcornTeam vs. the old way

See how an always-on agent platform compares to the tools you're stitching together today.

Completes full tasks end-to-end

Text onlyChatGPT
Rigid triggersZapier
Yes, slowlyManual
PopcornTeam

Runs 24/7 without you

ChatGPT
Zapier
Manual
PopcornTeam

Remembers past context

Per-conversationChatGPT
Zapier
In your headManual
PopcornTeam

Connects to your tools

ChatGPT
Zapier
Manual
PopcornTeam

Adapts to task complexity

Same modelChatGPT
Fixed rulesZapier
You decideManual
PopcornTeam

Coordinates multiple agents

ChatGPT
Linear chainsZapier
You coordinateManual
PopcornTeam

Real-time monitoring & logs

ChatGPT
Zapier
You checkManual
PopcornTeam

FAQ

Frequently asked questions

ChatGPT answers questions in a chat window. PopcornTeam 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.

PopcornTeam 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. PopcornTeam 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 — PopcornTeam handles the technical execution.

Zapier and Make run fixed, rule-based automations that you build step by step. PopcornTeam agents understand context, make decisions, and adapt to complex multi-step tasks. They're closer to a team member than a workflow tool.

Yes. PopcornTeam'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. PopcornTeam 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.

Ready to build your AI team?

Start with one agent. Scale to an entire department.

Get started