Save my place

They won’t ask what you learned. They’ll ask what you can do.

Save my place

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AI can pass your course. It can’t sit your interview.

Polyment counts what you can do, not what you watched.

Picture the email.

Now imagine knowing, six months earlier, what to study, and in what order.

A university, rebuilt around one student: you.

  • The syllabus

    A syllabus drawn for one student.

    Paste the program or the job post. Every course between you and it, in the order universities teach them.

  • The timetable

    A timetable that plans itself.

    One page of tasks a day, sized to the time you have. Fall behind and it re-plans, and tells you.

  • The noticeboard

    A noticeboard that knows you.

    Internships, scholarships and programs in your field. If you don’t qualify yet, it says so.

  • The transcript

    A transcript that can’t be padded.

    In testing

    A CV from your real results, not from what you say you know.

See how each part works

A look inside the workshop

Three short clips, from the real build.

Plate I. The way there

Name the goal. A few subjects, in order, drawn for you. Nothing on the CV until it’s proven.

What happens in this clip
  1. Meet Sam, a marketer who wants to use AI in his work.
  2. Day one. Asked what success looks like, Sam writes: “Use AI like a pro at work: faster content, smarter campaigns, and actually understanding how it works.”
  3. Asked how he will use AI, Sam chooses “Use it in my field or work”.
  4. Narrow it down: he ticks what he will use AI for.
  5. Leo builds his Codex.
  6. His Codex: Artificial Intelligence for Marketing, built around his goal.
  7. What he ticked, Content personalization, is in it as his focus.
  8. Practice: he writes his answer in his own words, and Leo grades it.
  9. Not quite — and Leo says exactly why.
  10. His CV lists a skill only once he has proven it in a checkpoint exam.
  11. Meet Layla, a medical student who wants to build AI that helps doctors read X-rays.
  12. Day one. Asked what success looks like, Layla writes: “Build an AI that spots pneumonia on a chest X-ray — and land an AI research internship next summer.”
  13. Asked the same question, Layla chooses “Build with it and specialize”.
  14. Narrow it down: she goes deeper, from Computer Vision to Medical Image Analysis.
  15. Leo builds her Codex.
  16. Her Codex runs from programming and maths up to her goal.
  17. It leads to what she chose: Medical image analysis.
  18. “Where you stand”: a check of what she already knows, before anything counts.
  19. The result: nothing is marked as known until it has actually been checked.
  20. Her CV, too, lists nothing until it has been proven.
  21. One subject. Two very different paths.

Plate II. Today’s page

One page of work a day, sized to the time you have.

What happens in this clip
  1. Home opens on today’s tasks: small steps sized to his hour a day.
  2. The planner spreads the week, with a projection of the road ahead.
  3. In a lesson, he highlights a sentence and asks Leo to explain it.
  4. Practice is written and graded. A wrong answer gets a clear “Not quite” and why.
  5. A right answer is marked “Correct”, with what would make it even stronger.
  6. He asks Leo why his path starts with how AI works. Leo explains.
  7. The same plan on a phone.

Plate III. Aimed at what you want

Opportunities that fit you. A CV that lists only what you’ve proven.

What happens in this clip
  1. He uploads his CV. Leo reads it and fills in his profile.
  2. He asks Leo to find programmes for working marketers in Dubai.
  3. The list is tailored to his field and goal, with a match for each.
  4. The Opportunities page keeps them together, with his readiness for each.
  5. His CV lists a skill only after he proves it in a checkpoint exam.
  6. Switch the workspace to Arabic in Settings.

The founding charter

Every university had a first class. Ours starts with this list.

  1. Article I.

    You hear first when your field opens.

  2. Article II.

    You could be chosen to test Polyment before launch, free.

  3. Article III.

    A direct line to the people building it.

Opening first:

  • Quantum Computing
  • AI
  • Robotics & Automation

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