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The free foundation · in development

AI fundamentals. For the work you do.

Get beyond the blank chat box. Learn to choose a useful task, give AI the context it needs and decide whether the result is good enough to use.

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Learn by doing, inside Matrix

Your first agent.
One useful job.

Brief it. Set its boundaries. Test it. Review the result. Work through four short lessons in a simulated Matrix workspace.

Matrix / Academy workspaceSimulation
Lesson 1 / Give the agent a job

Choose a bounded goal and tell the agent who the brief is for.

Academy guide

A research agent works best with a narrow job. Your source notes are fictional; give the agent a goal it can complete without making decisions for you.

Read the supplied notes
A — Interviews: Two participants asked for a clearer setup checklist.
B — Planning: A Friday prototype review is being considered. No date is confirmed.
C — Budget: No budget decision has been recorded.
What should the agent do?

A complete guided practice course, with simulated Chat, Agents, Terminal and Apps. No live model, shell execution or external action. This practice does not award a qualification.

A useful place
to begin.

Who it’s for

Professionals in product, operations, marketing and other knowledge roles who want a useful starting point.

Before you begin

No coding experience. Bring a recurring task and a willingness to question the answer.

What you’ll work towards

A reusable AI brief, an output review checklist and a small work sample you can explain.

An example of the work

Something you can inspect.

Turn fictional customer notes into a one-page decision brief. Separate evidence from assumptions, flag gaps and show your source for each important claim.

An illustrative exercise from the proposed learning path.

The first learning path

AI fundamentals.
Skills you can use.

A proposed path from your first useful AI task to a small workflow you understand. Each mission ends with something you make, check and can explain.

8 practical missionsBeginner friendlyFree course tuitionHelp shape the first release
01Understand what AI can doChoose a task that AI can help with—and explain where you still need judgment.
  • Models, chat tools and agents in plain language
  • Capabilities, uncertainty and made-up answers
  • Choosing a useful first task

YOUR PRACTICE

Sort six real work tasks into: try AI, use with checks, or keep human-led.

You leave with: Your first AI opportunity map.

02Give AI a clear briefTurn a vague request into instructions you can test.
  • Goal, context, examples and constraints
  • Asking clarifying questions
  • Iterating against a clear definition of done

YOUR PRACTICE

Improve a messy request for a weekly update, then compare the results.

You leave with: A reusable task brief.

03Know what to trustCheck claims, sources and calculations before using an answer.
  • Evidence versus plausible wording
  • Source checks and counterexamples
  • Small evaluation sets and review rubrics

YOUR PRACTICE

Find unsupported claims in an AI draft and write a version the evidence supports.

You leave with: Your output review checklist.

04Work with your own contextGive useful context while protecting information and access.
  • Files, context windows and retrieval
  • Personal, confidential and public information
  • Permissions, prompt injection and human approval

YOUR PRACTICE

Prepare a safe context pack from fictional work notes and decide what to leave out.

You leave with: A safe context pack.

05Make everyday work easierUse AI for a real writing, research or analysis task and assess the result.
  • Research and synthesis
  • Writing and editing for a specific audience
  • Tables, calculations and multimodal inputs

YOUR PRACTICE

Turn a small fictional case pack into a checked brief, with sources and open questions.

You leave with: A useful work sample.

06Turn a task into a workflowDescribe a repeatable process, including exceptions and review points.
  • Inputs, steps, outputs and ownership
  • Structured data, APIs and connected tools
  • Choosing what to automate and what to review

YOUR PRACTICE

Map one recurring task and build a small prototype using synthetic inputs.

You leave with: A workflow map and prototype.

07Build a small tool with AICreate a simple tool and understand the basic steps needed to run it.
  • Editors, terminals and Git without assumed knowledge
  • Describing behavior and reviewing changes
  • Testing, deployment and protecting secrets

YOUR PRACTICE

Build a small tracker or calculator, test three cases and explain its limits.

You leave with: A small tool with a test checklist.

08Make the skill stickDemonstrate a skill on a fresh task and decide what is worth repeating.
  • Assisted practice versus independent ability
  • Measuring usefulness, effort and cost
  • A personal practice plan and next learning path

YOUR PRACTICE

Complete a new task, review it against a rubric, and choose one workflow to revisit next week.

You leave with: Your skill portfolio and next-step plan.

This is the draft syllabus, not a released course catalog. Your feedback will help us choose the first missions. Joining the waitlist is free; launch dates and any optional tool or hosting costs will be clear before you start.

After the foundation · planned

AI at work

Role-specific practice for product, operations, marketing and team leadership.

After the foundation · planned

Personal agents

Connect one useful tool, add approval points and test a bounded recurring task.

After the foundation · planned

Apps and automation

Build a small app, test it with real users and learn how to maintain it.

Join the free-course waitlistWhat should we cover?

A little more
before you start.

Is this course free?

The planned foundation has free tuition. Optional Matrix computer, AI provider usage or hosting costs will be explained before you start.

Can I start now?

The course is in development. You can read the draft syllabus, use our practical guides and try the guided AI Gym preview today.

Help shape your learning path.

What task would you most like to do better with AI? Your experience helps us choose what to teach first.

Join the waitlist ↗