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Watch · 30 seconds
See Tai build a course from what you already know
Tell Tai what you want to learn. It builds the path, wires in your own sources, teaches you and checks you understood.
No sound needed — but it is better with it
Type anything. Get a course.
Try one of these, or use the box at the top of the page. Free — create an account to unlock the full course.
Examples
What Tai builds, for people like you
Real examples, already built. Pick who you are and see what Tai can make for you.
Prompt“Teach me how LLMs actually work, from zero”
How LLMs actually work
From autocomplete intuition to transformers, prompting and fine-tuning — concepts that stick, not hype.
6 modules · 24 lessons · 12h · Beginner
- 01
What a model actually is
Tokens, probabilities and why it's prediction, not magic.
- Lesson
- Visual explainer
- Flashcards
- 02
The transformer, simply
Attention explained with worked examples you can follow.
- Lesson
- Quiz
- 03
Prompting that works
Context, structure and the failure modes to design around.
- Practical task
- Template pack
- 04
Build something small
A working AI feature of your own, shipped by the end.
- Project
- Rubric
- Feedback
- + the remaining modules, generated the same way
Prompt“Teach me personal finance properly — pensions, tax and investing”
Personal finance, properly
The whole picture in plain language: tax, pensions, investing and the decisions that actually move the number.
5 modules · 20 lessons · 8h · Beginner
- 01
Where your money goes
Income, tax and the deductions most people never check.
- Lesson
- Calculator
- 02
Pensions without the jargon
Contributions, employer match and what compounding really does.
- Lesson
- Worked example
- 03
Investing basics
Index funds, risk and the mistakes that cost the most.
- Lesson
- Quiz
- 04
Your own plan
A written plan for your actual numbers, reviewed against goals.
- Project
- Checklist
- + the remaining modules, generated the same way
Prompt“I want to learn Spanish for a trip in two months”
Spanish for two months from now
Speaking-first, built around the situations you'll actually be in, with daily drills that fit a commute.
8 modules · 40 lessons · 20h · Beginner
- 01
Sounds and survival phrases
Pronunciation first, so what you learn stays understandable.
- Lesson
- Audio drill
- 02
Getting around
Transport, directions and check-in, practised as dialogue.
- Role-play
- Flashcards
- 03
Eating and shopping
Ordering, asking and handling the reply you didn't expect.
- Role-play
- Quiz
- 04
Small talk
Enough grammar to keep a conversation going for five minutes.
- Practice set
- Speaking check
- + the remaining modules, generated the same way
From idea to useful course.
- 01
Tell Tai your goal
Your role, what you already know, the tools you use and where you want to be in six months.
- 02
Get a personalised path
Tai assembles a path from expert-built modules — the right ones for your level, in the right order.
- 03
Learn with a tutor beside you
Ask Tai knows what you have studied, what you know and where you got stuck. No generic chatbot answers.
- 04
Practise in the real tools
Hands-on tasks in Claude, Claude Code, Cursor, agents and automation platforms — not multiple choice.
- 05
Prove the skill
Recall checks, assessments and a project that shows you can actually apply it. Then Tai picks what's next.
Bring your own material
Tai learns from the systems you already use
Point Tai at your files, docs, recordings or wiki and it builds the course from your material — cited back to the source. Businesses can connect their systems in a single rollout.
- File upload
- Web pages & links
- YouTube
- Slack
- NotionOn request
- Google DriveOn request
- GmailOn request
- Google CalendarOn request
- Microsoft 365On request
- OneDriveOn request
- Microsoft TeamsOn request
- DropboxOn request
- Canvas & MoodleOn request
- ConfluenceOn request
- Google ScholarOn request
- Call recordingsOn request
- 100+ more via the API
Written lessons
Explained at your level, with worked examples instead of talking-head video.
Quizzes & flashcards
Spaced checks that target what you keep getting wrong.
Practical tasks & projects
Briefs done in your real tools, graded against a rubric.
Assessments & certificates
A score, evidence and a verifiable certificate on pass.
Security & integrations
Learn from your work, with confidence.
Tai keeps your learning workspace separate and gives you control over the sources you bring in. Connect the tools you already use, or upload what you need.
Security
- Encrypted
- Workspace isolation
- Private by default
- Role-based access
- Row-level data controls
- Security review support
Bring your sources
- Google Drive
- Gmail
- Google Calendar
- Microsoft 365
- OneDrive
- Slack
- Teams
- Notion
- Dropbox
- File upload
- YouTube
- And more
Works where you already work
Use Tai in Slack, in Claude, or through the API
Tai is not locked inside one tab. Ask it to build a course from Slack, connect it to Claude or ChatGPT over MCP, or call the course API from your own product.
Slack
Mention Tai in any channel and get a full course back — modules, lessons, practice tasks and an assessment — in the thread.
Claude
Connect Tai as an MCP server and Claude can search the catalogue, read lessons, run quizzes and generate courses.
ChatGPT
The same MCP endpoint works with any MCP-capable assistant, with per-user sign-in.
Course API
One POST turns a topic — or your own documents — into a structured course you can publish anywhere.
Cursor & Claude Code
Practice tasks run in the tools you actually build in, with Tai grading the output.
Your LMS
BetaExport generated courses as lesson-by-lesson material for the system your organisation already runs.
Learners
What people say after they've done the work
In just two live sessions I walked away with a reusable GTM playbook, launch templates, and the AI prompts to run every future launch faster.
Irena Palamani Xhurxhi, PhD
Director of People Science · Walmart
The asynchronous format made it easy to catch up and focus on the parts most relevant to my job — practical, and immediately useful.
Alexandros Fragkos
Marketing Analytics Manager · Google
In only four weeks we went from LLM basics to building our own production-grade app — multi-agent workflows, RAG with vector search, and real evaluation.
Anette
Product Manager · Apple
Well structured, and covered a genuinely broad range of knowledge — exactly what our engineers needed.
Lei Wang
Sr. Software Engineer · Stanford
The content had both breadth and depth, and the delivery made learning encouraging and genuinely fun.
Joysorlyn Dixon
Engineering Leadership Advisor · Mosaic Presence
Landed a Forward Deployed AI Engineer role at Google after a full career change.
Zainab Ahmed-Safeer
Google · Chicago, IL
Gave me the structure, mentorship, and hands-on experience I needed to break into AI engineering.
Bernard Griffin
AI Engineer, Capital One · Virginia
Built the positioning and interview reps to move into a full-time AI product role.
Beni Goldenberg
AI Product Manager · Dallas, TX
Two competing offers — Google and TikTok — out of the coaching job-search plan.
Jay
AI Engineer · San Francisco, CA
Anyone interested in building foundational AI knowledge should take this training — it's worth the investment.
Dr. Elizabeth Creighton
Founder & Principal · Brazen
In just two live sessions I walked away with a reusable GTM playbook, launch templates, and the AI prompts to run every future launch faster.
Irena Palamani Xhurxhi, PhD
Director of People Science · Walmart
The asynchronous format made it easy to catch up and focus on the parts most relevant to my job — practical, and immediately useful.
Alexandros Fragkos
Marketing Analytics Manager · Google
In only four weeks we went from LLM basics to building our own production-grade app — multi-agent workflows, RAG with vector search, and real evaluation.
Anette
Product Manager · Apple
Well structured, and covered a genuinely broad range of knowledge — exactly what our engineers needed.
Lei Wang
Sr. Software Engineer · Stanford
The content had both breadth and depth, and the delivery made learning encouraging and genuinely fun.
Joysorlyn Dixon
Engineering Leadership Advisor · Mosaic Presence
Landed a Forward Deployed AI Engineer role at Google after a full career change.
Zainab Ahmed-Safeer
Google · Chicago, IL
Gave me the structure, mentorship, and hands-on experience I needed to break into AI engineering.
Bernard Griffin
AI Engineer, Capital One · Virginia
Built the positioning and interview reps to move into a full-time AI product role.
Beni Goldenberg
AI Product Manager · Dallas, TX
Two competing offers — Google and TikTok — out of the coaching job-search plan.
Jay
AI Engineer · San Francisco, CA
Anyone interested in building foundational AI knowledge should take this training — it's worth the investment.
Dr. Elizabeth Creighton
Founder & Principal · Brazen
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