🧠AI Simulation Labs
Your AI starting point

AI Production Systems Core

Start making useful decisions with AI, even if you have never coded or used an AI tool. Practise choosing the right task, giving clear instructions, and checking what comes back.

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Make decisions, then check the result

  • Repair a flawed brief, save a reusable task instruction and check a changed practice case.
  • Build source-linked comparison briefs, preserve unresolved questions and reuse your recipe on different evidence.
  • Decide when AI fits a task and when a simpler approach is better.
  • Practise prompts, context limits, source checks and boundaries for safe tool use.
  • Compare model choices, evaluations and costs using the exercises listed below.
  • Build a saved document assistant that answers from selected sources and makes missing evidence visible.
  • Set dependable output rules and turn a batch of inputs into reviewed records, keeping exceptions visible.
  • Find the first fault, test your repair and release a workflow with a handoff someone else can use.
  • Combine unfamiliar evidence into a decision, recover from an incident and adapt your saved work to a new task.

These are opportunities to practise, not a guarantee of mastery or independent real-world performance.

The labs you can practise today

These are the current labs, in suggested order. The interactive exercises open from your learning map with active access.

Your curriculum · 37 labs

  1. Get a useful first result
  2. Should this task use AI at all?
  3. What is an unsupported model claim?
  4. How does a language model produce the next token?
  5. What is an application-supplied system prompt?
  6. How do you build a robust prompt contract?
  7. What does data quality mean?
  8. Where should an AI system obtain information?
  9. Why AI Splits Your Text Into Tokens—and What That Changes
  10. What is a context window?
  11. How should an AI request be packed?
  12. How do you verify a model response claim by claim?
  13. Write a brief you can stand behind
  14. Why can evidence inside the context window still fail?
  15. When should an AI answer, abstain, or escalate?
  16. How should sensitive data flow through an AI system?
  17. What can a system prompt not enforce or standardize?
  18. Keep your assistant inside its boundaries
  19. Build a document assistant you can actually use
  20. Make AI output dependable
  21. What is an AI agent?
  22. How does a model use a tool?
  23. Where did tool use fail?
  24. Turn a batch into reviewed records
  25. How do you choose evaluation methods?
  26. How do you test whether a prompt change helped?
  27. What does a benchmark score mean?
  28. What does model size mean?
  29. How should you choose a model size?
  30. What does one model request cost?
  31. What does a successful AI task really cost?
  32. Find the first fault
  33. Which layer owns this AI-system failure?
  34. Release a workflow someone else can use
  35. Turn unfamiliar evidence into a decision
  36. Repair the workflow. Keep the evidence.
  37. Make the method work on a new task

Optional deeper practice · 1 labs

  1. What changed because of the system prompt?

A starting point, not an entrance exam

No coding or AI experience is required to begin. Core is the starting point for every specialization.

Start here for a broad foundation. Programming, Git, APIs, JSON and terminal experience are not entry requirements.

Compare all eight products · Explore AI Agent Path

Choose a lab. Try a decision. Revisit what you learn.

After payment, finish your learner setup and open your learning map. Choose an available lab, try its activity and use its feedback to decide what to change. The suggested order is guidance; unavailable future exercises do not block your current labs.

Practice you can use now

Your listed labs are available during active access. Open them from your learning map and keep the work each lab lets you save or export.

Use the feedback and changed cases to check what you can do. Completing a lab records the work tested there; it is not a guarantee of performance in every real-world situation.

Practice and credentials are different

Opening or completing a lab does not automatically award a pathway credential. A laboratory pass demonstrates only the tested performance. Any credential requires its separate evidence, assessment and verification checks; this page does not claim all those requirements are delivered.

How evidence and credentials work

One purchase. A clear access term.

US$497 · 12 calendar months · no auto-renewal. An initial or post-expiry term starts at successful payment. An eligible early renewal extends from your existing expiry at the then-current published price.

Active-term updates are included. Each specialization is a separate purchase. Optional operation of your own systems outside the included lab environment is not part of this price.

Support covers your account, billing, access and the official learning environment. Our first human response target is one business day, not a guaranteed resolution time.

14-day satisfaction guarantee and refund policy · Purchase terms · Contact support

Buy Core — US$497Try the learning method free

Questions before you choose

Is Core useful without Agent?

Yes. Core is a separate foundation. You do not need Agent or another path to use the Core labs.

Are all the listed labs available?

Yes. Every lab listed above is included with active access. Start from your learning map and return to your saved work whenever you need to practise. A lab completion does not automatically award a credential.

How is my progress saved?

Native lab attempts and bounded progress backups are saved on your account. Imported practice is account-scoped in this browser; it is not a server-verified completion or a cross-device backup. Your learning map identifies which kind each lab uses.

What if the same lab appears in another path?

It is the same lab and saved work, not a second assignment or another completion. Optional deeper practice is labelled separately from the required curriculum.

How long will it take?

Completion effort has not yet been reliably measured. Revisit available labs during your access term without a fabricated study-hour promise.

What if it is not right for me?

The purchase policy includes a 14-day satisfaction guarantee in addition to mandatory statutory remedies. Read the refund policy for the process, or contact support for help.