
Sauna balances the schedule against demand, capacity, and material, flags the conflicts, and drafts the plan changes — so the line runs to a plan that holds instead of one you rebuild every morning.
Sauna is an AI agent for production planners that keeps the line on a plan that holds. It balances the schedule against demand, capacity, and material, flags shortfalls and conflicts, drafts revised sequences with the trade-offs spelled out, and reports schedule adherence — so you run the plan instead of rebuilding it every morning.
What it does
Check the production schedule against demand, line capacity, and material availability, and flag where they don't reconcile.
Surface the components that won't be on hand in time for a scheduled run and draft the expedite or the reschedule.
Turn a rush order, a breakdown, or a shortage into a revised sequence with the trade-offs spelled out for sign-off.
A recurring read of planned vs. actual output, the bottlenecks, and the at-risk orders, ready for the production meeting.
Put Sauna to work on this.
Get started for freeIn context
Sauna shows up where you already work — the web app, Slack, email, iMessage, and Superhuman. It reads what it needs, does the task, and comes back with the draft for your approval.
Try it
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Check next week's production schedule against demand and on-hand material, flag any run that's short a component, and draft a revised sequence that protects the rush order for Westbrook.”
Plugs into the tools you already run — and thousands more, or any MCP server.
What you get
Reports, drafts, and dashboards Sauna assembles from your live tools — kept current on its own.
Get the result, not the busywork.
Get started for freeGood to know
No. Sauna balances the plan, flags the conflicts, and drafts the revised sequence with the trade-offs; the change waits for your sign-off.
Yes — sheets, databases, and thousands of apps are built in, or your own MRP over an API key or MCP server.
Sauna reads only what you connect, and acts only after you approve. Your workspace and its memory are yours, not training data.
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