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Level 14 of 14 · AI Basics lab

Is this worth building? A go or no-go

Level 14 of 14 in the AI Basics lab: a free AI basics exercise at Intermediate level, which takes about 15 minutes. Weigh four ideas for AI at work by value, data, risk and whether a person looks first. Call each one, pick where to start and write the one page.

15 minIntermediateNot started

Goal

Weigh four ideas for AI at work by value, data, risk and whether a person looks first.

Done when

The acceptance test marks the skills this level practises.

  • Value and risk
  • Data readiness
  • A person in the loop

Skills

  • Value and risk
  • Data readiness
  • A person in the loop

Before you start

Level 13, What not to paste into an AI, comes first. Do it first if the ideas are new to you.

Start Is this worth building? A go or no-goSee all 14 levels

Free, in your browser, nothing to install. Your work is saved on this device. Updated 15 Nov 2026.

14 levels

Levels in the AI Basics lab

Learn what AI is by playing with it: teach a camera, watch a model learn, test it and check it is fair.

  1. Start What is AI? Rules or learning from examples
  2. Start Teach a camera to spot a dented part
  3. Start Data and labels: what we see and what we want to say
  4. Start Watch a model learn, then watch it memorise
  5. Start Is it any good? Catches, false alarms and the threshold
  6. Start Is it fair? Check a CV screen for a hidden proxy
  7. Start Words become numbers: tokens and a meaning map
  8. Start How a chatbot picks its next word
  9. Start Answer from a manual: retrieval with sources
  10. Start An AI agent at work: tools and guardrails
  11. Start Ship it and watch it: drift and a model card
  12. Start Check an AI answer against the page
  13. Start What not to paste into an AI
  14. Start Is this worth building? A go or no-go
Previous level 13What not to paste into an AI

Part of the AI Basics lab

Learn what AI is by playing with it: teach a camera, watch a model learn, test it and check it is fair.

Feeds these internships (training, not employment): AI and Machine Learning, Data Science and Analytics, Generative AI and Prompt Engineering, AI Agents and Automation, Computer Vision, AI for Finance and Accounting, AI for HR and Recruitment, AI for Digital Marketing and Content, AI in Healthcare and Pharma, AI for Project Management.

About the AI Basics lab

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