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Lesson 10Premium9 min read

Answering "why?" in two sentences

Credibility in this field is mostly the ability to answer "why?" quickly and without hedging. Why retrieval here. Why that model. Why not let it run on its own. Why not just use the API everyone else uses. This lesson is a drill: the tensions that come up again and again, each with the line you should be able to say out loud without preparing it.

By the end you can

Answer the ten questions you will actually be asked, in two sentences each, without stalling.

Before you start

Lessons 1 to 9. This is a drill on material those lessons cover, so it works best last.

Plain-English mode

Each section opens with a short summary before the detail. Turn this off once the vocabulary feels familiar.

The short version

There is rarely a right answer in AI design. There is a right answer for your constraints, and being able to say which constraint decided it is the skill.

There is rarely a single right answer in AI architecture. There is the right answer given your constraints: your data, what a mistake costs, your budget, how fast it has to respond, and where it is legally allowed to run. Anyone who gives you a universal answer has not understood the question.

So the skill is a habit with three moves. Name the tension. Say what you would choose. Say which constraint decided it. Two sentences, no hedging.

What follows is a drill set of the tensions that come up repeatedly, each with a model answer. Read them aloud rather than skimming them. The goal is not to memorise the words, it is for the structure to become automatic under pressure. The full set is part of the paid course.

Check yourself

Answer in your head first, then reveal. Getting it wrong is the part that makes it stick.

  • What are the three moves in a good trade-off answer?

The rest of this lesson

  • Retrieval or retraining?
  • Which of the three, and in what order?
  • The best model, or a small one?
  • Rent a model, or run your own?
  • Quality, speed, or cost?
  • An agent, or a fixed workflow?
  • Build it, or buy it?
  • Fewer false alarms, or fewer misses?
  • Move fast, or be sure?
  • Should this use AI at all?
  • One full answer, using all of them
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