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Practical guides to common AI questions at work: what to ask, what it costs, and how to use it responsibly. Read one article or follow a suggested reading order. You do not need to be studying for an exam.

8 of 21 pieces written About this library

We have published 8 of the 21 articles planned for these reading paths. The remaining articles do not have release dates yet. You can read everything listed below now.

Good judgment starts with a little perspective.

In the room

Someone is pitching you an AI project, or demonstrating one. What to ask, what to discount, and how to tell a real capability from a good demo.

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Step 1Eleven questions to ask when someone pitches you an AI projectYou don't need to know how it works to run a good review. You need to know which questions have uncomfortable answers.Step 2What a demo can't show youA demo is a performance of the best case. Three requests turn it into evidence, and all of them take under a minute.Step 3How to read an accuracy claim"94% accurate" is not a fact about a system. It's a fact about a test somebody designed, and the design is where the interesting part lives.Step 4Running a two-week bake-off that ends in a decisionMost pilots end in a conversation about whether it felt better. Write the acceptance criteria before you see a single result and that can't happen.Step 5Build, buy, or extend — and when to do none of themMicrosoft's own blueprint makes this a testable decision, which tells you it's a real one. The framing that helps is what you'd be sad to have someone else own.Step 6Deciding not to proceedThe hardest meeting in the track. How to say no in a way that's about the evidence rather than about enthusiasm, and how to leave the door open honestly.

Budgeting

What these systems cost, why the first estimate is usually wrong, and how to build a forecast you can defend to finance.

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Step 1What an AI feature actually costs, and how to forecast itTokens are the unit you get billed in, and almost nobody explains them in terms a budget holder can use. Here's the arithmetic, with real prices.

Fundamentals

The small amount of mechanism you actually need in order to make good decisions. No maths, no code, nothing you will not use.

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Step 1Why it makes things up, and what you can actually do about itHallucination isn't a bug someone forgot to fix. Understanding why it happens tells you which controls work and which are theater.

Risk and governance

What to require before something ships, what to disclose, and what to do when it goes wrong in public.

0 of 5 written

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On its own

A standalone guide you can read without following a reading path.

CertificationsThe three AI certifications worth having if you don't write codeMicrosoft, Google, and AWS each publish a foundational AI certification aimed at business audiences. Here's what each one actually covers, what it costs you, and the order I'd take them in.

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