Your AI works
while you don’t
Set up AI assistants that monitor, research, report, and act — automatically.
They run on schedule, react to events, and use your tools. You review the results.
Describe what you want
No flowcharts. No node editors.
Tell your AI what to do in plain language, pick a schedule, and it handles the rest
Write a Prompt
Describe the task in natural language. “Check our competitor’s pricing page and compare it to ours. Alert me if anything changes.” Your AI understands context, uses tools, and reasons through the task.
Pick a trigger
Run it on a schedule, on an interval, when a webhook fires, when an RSS feed updates, when a webpage changes, or when someone messages in Slack or Discord.
Review the results
Output goes wherever you want — a chat in CoChat, an email, a Slack message, or all three. Your AI works in the background. You stay in the loop.
Runs when you want. Reacts when it matters.
Six ways to trigger your automations. From simple schedules to real-time event reactions.
What teams are automating right now
Real workflows running on CoChat, from competitive intel to client reporting to community support.
Automations that won’t keep your security team up at night
Unlike tools that give AI raw shell access to your machine, CoChat automations run in isolated, sandboxed environments. Every tool call is proxied, logged, and constrained.
- No shell access — code runs in isolated containers
- Browser automation in ephemeral VMs on Fly.io
- All tool calls proxied through MCP with audit logging
- 5-minute execution timeout prevents runaway agents
- Concurrency guards prevent duplicate execution
- Tenant-isolated data — your data never touches other accounts
