Verified scheduling

Schedule lessons, teachers and rooms

How do I schedule lessons so teachers and rooms never clash?

NitroBot books each lesson with a teacher who teaches that instrument and a room that suits it, such as a piano room for piano and voice, without clashes. Your bot can offer students open times that are already checked.

You give it

  • Teachers and what they teach
  • Rooms and their equipment
  • Lessons to book

You get

  • A clash-free afternoon for teachers and rooms

Your bot says

  • “Piano with Mia at 2pm in Room 1.”
  • “Pat is free for voice at 2:30pm in Room 2.”

Example messages based on the fictional data below.

See it in action

Run this free example with NitroBot's real scheduling engine. Take resources offline, drop requests or change sizes, and watch it re-plan. Sign up below to try your own scenario with AI.

Try the free example

No sign-up, no AI calls. Run the example with NitroBot’s deterministic engine.

Example music studio, one Monday afternoon (sample data)

Fictional example data

Resources (untick to take one offline)
Requests to schedule

Try your own scenario

Describe your own scenario and get a real AI run with a free account. Sign up with your email to try it.

Questions

Does the demo use AI?
The free example uses no AI and needs no sign-up. After a free email sign-up, Try your own scenario sends your text to Grok via Vercel AI Gateway. The model proposes input and explains the result; NitroBot's deterministic engines check the facts. If AI is unavailable or your free sample is used up, you get a deterministic result.
Do you store what I paste?
We don't keep your text for improvement unless you opt in. The instant demo processes your text and discards it without opt-in. Signed-in AI runs temporarily hold text and results: unshared input is deleted when the job finishes, and results (which may include quotes) expire within 24 hours. Shared live input also expires within 24 hours. Anonymous counts contain no source text.
How do I know the schedule has no double-bookings?
Every proposed plan goes through a checker that confirms capacity, availability, skills, sizes and ordering rules hold for every booking. If no plan fits, it says which request couldn't be placed and why.
Is this my real data?
No. The trial uses a small fictional example so you can see how it behaves. Switch resources off or change sizes to see what happens when things don't fit.
How does this work with the AI I already use?
Your bot sends the request to NitroBot as a tool call, NitroBot returns verified options, and your bot asks you to confirm before anything is booked.

Want this for your business?

NitroBot is in early access. Tell us what you’d want your bot to handle and we’ll use it to shape what we build first.