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Help your team use AI well.

Your people already use ChatGPT, Copilot or Claude. Toorova helps them build a shared approach to using those tools well, with practical lessons based on the work they do each week.

Tell us about your team See what a track contains

Every track is open to read before anyone signs up. Runs in the browser and as an app on iOS and Android.

A track for the job each person does

Each track is that profession's week, in order. Around nineteen short lessons, ending in a capability check and a certificate.

  • Finance & Professional ServicesResearch a company in fifteen minutes, analyze the numbers you were handed, make the spreadsheet do the work, build the deck, read the 200 pages, run the diligence pass, and catch your own invented number.
  • MarketingTurn a vague brief into a working one, find out who you're talking to, make it sound like your brand, ship the whole campaign set, make the image and the video, and catch the claim you can't back.
  • SalesKnow the account before the call, write the message that gets a reply, run the discovery call, update the CRM without typing, write the proposal, and commit a number you can defend.
  • General BusinessThe default for anyone whose role isn't listed: the inbox, meetings that turn into owned actions, documents, spreadsheets, research briefs, and running a project without the status meeting.
  • Team & Business LeadersThe other half of a rollout: find the work worth changing, price it honestly, run a pilot that could fail, write a policy people follow, buy without being sold to, and know what to do in the first hour after it goes wrong.
  • Earning With AIFor anyone working on their own account: measure the speed-up instead of feeling it, read the license before you quote, know what you can honestly promise, get real work out of a coding agent, review what you did not write, make video a client will accept, scope and price the job, and find the first client.

What an hour of it looks like

Not a video, and not a quiz on a video. About one step in five across the role tracks hands a person a control and a target instead of a paragraph. Two real ones:

  • Eight hours to make the assistant safe

    Dani has one working day to harden a freight company's AI assistant, and four defenses to spend it on: approving every action that leaves the company, limiting what it is allowed to read, attacking it yourself before anyone else does, and a prompt line telling it to ignore instructions. It opens where most teams start, with six of the eight hours on the wording, and a meter showing the share of attacks that do no damage.

    The wording earns one hour and no more, because an attacker who knows the sentence is there writes around it. Someone who finishes this can say where hardening hours actually pay. In Break the Agent.

  • How many invoices to spot-check

    An extractor is said to get about 2 percent of invoices wrong, and you have to know that rate to within a point before deciding how much human review the process needs. You set the size of the spot-check and watch twenty runs of it land.

    Fifty invoices read as anything between no errors at all and six percent, so a check that small decides nothing. Someone who finishes this can say how large a sample an answer needs before it can be acted on, and why an auditor pulls hundreds of entries rather than a handful. In AI for Accounting.

Why it changes the work

  • The assistant you already pay for

    Each person says whether they're on ChatGPT, Copilot, Claude or Gemini, and the examples use it, so the workflow is one they can run at their own desk that afternoon.

  • Know when to trust an answer

    Every track teaches when not to use AI at all, how to find the part of an answer that isn't true, and how to break an agent on purpose before it breaks on real work.

  • Something to show at the end

    A track closes with a capability check, six situations from that week, one decision each, and a certificate once it is passed.

Your company's information never has to come into it

Exercises use fictional companies, figures and documents. When a lesson asks someone to apply an idea to their own work, they do that in their private notes. They never need to submit confidential company information or a client's name.

Your team keeps its private work

Your organization cannot access a person's answers, scores, saved notes, journal or conversations with the AI tutor. These restrictions are enforced by access rules and checked in automated tests.

How it starts

  1. 1Tell us about your teamRoughly how many people, what they do, and what you want to be different in three months. A few lines is enough.
  2. 2We come back to youThere is no self-serve checkout for teams. Someone here reads what you sent and replies by email, usually within a couple of days.
  3. 3Your seats go outWe set up a license sized to your team: a pool of seats that gives full access to the people you invite. They sign in, pick the track that matches their job, and start.

Tell us about your team

A few details are enough. We'll reply by email.