The AI training program for business

What ChatGPT is, how it works and where to start

Learn what ChatGPT is, how an answer is produced, which models power Chat, Work and Codex today and what it can do at work. Then a first exercise and a tour of the screen.

Three ways to work, projects and sources

First learn how Chat, Work and Codex differ. Then organise files in a Project and see when Deep Research helps. Check the report's sources yourself.

Subscriptions, team seats and usage

Compare plans and count the seats your team needs. Learn what a token is and why subscriptions and API usage are billed separately.

Data, permissions and company rules

Before uploading a company file, check its data, access and processing terms. Buying a plan alone does not establish that a process is safe.

Goal, sources and checking the answer

Say what you need, which data to use and how you will judge the result. Start with the short template; use the detailed structure for harder tasks.

From a request to a finished deliverable

Delegate one task using files or connected apps. Define the output, limits and checks, then review the result before using it.

Small tasks, usage limits and reviewing results

Prepare a folder with a company brief, task brief and reference photo. Request a draft, check its sources and result. Then explore usage limits and the changes view.

Connect one app and check access

Start with one integration: read a document and prepare a summary. Further examples cover email, CRM, schedules and working in Word.

How they work, how to set them up and what they give a company

A plugin is a package: a skill says how to do the task, apps give access to tools and files hold company knowledge. Learn to set one up in 6 steps and see what it gives each team.

A downloadable file or a site to share?

Choose whether you need a document, spreadsheet, presentation or site. Check its content, behaviour and audience before sharing.

Browser, tools and animation

See how an agent uses connected tools and a browser. Test one path on your own site; a separate example shows animation with Remotion.

Save a process, test it, then schedule it

Turn a tested procedure into a skill. Run it manually first, then check its schedule, sources and execution environment.

Choose a model for the task and check cost

Compare Luna, Sol and Astra on the same task. Check quality and usage; the calculator and GPT-6.1 Sol information are in the detailed sections.

Choose an example close to your work

Follow one example from problem to result. Check the data, tools and approval point, then measure the benefit in your own company.

Company knowledge and templates for your tasks

Prepare a short company brief, choose one template and fill it with your data. Return to the libraries when you need another example.

Choose one exercise for your first trial

Start with a fictional-data report and reference answer. Then choose one of four extensions and compare the results of your trials.

One process, an owner and measured results

Plan a small four-week pilot. Define who tests it, what you measure and which results would justify wider AI use.

Decisions before sharing personal data

Review the purpose, data scope, access and required agreements. Account settings are part of the assessment; agree process rules with the person responsible for data protection.

Find a term and check an example

Look up an unfamiliar term and read its short definition. The model explanation helps distinguish context, memory and verified information.

What to check when an answer is unhelpful

When an answer is vague, wrong or outdated, check the prompt, data and sources. The FAQ suggests a first step for each problem.