LearnAI
Module 19 · AI in practice: working cases (Pro) · Lesson 1/5
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Task

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Build a mail parsing pipeline. Return JSON {"pipeline": [list of 2+ steps], "why": "short"}.

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Ready working conveyor
💡 A bit of theory

Parsing mail is an ideal application scenario where a bunch of techniques combine to form one prompt. Working pipeline: first classify incoming messages (urgent, waiting for a response, maybe later, spam) - the model labels them in batches; for important ones - a brief summary of the essence and required action; for standard ones - a draft answer, which you edit and send; controversial - in a hand pile. The secret is in breaking it down into steps (marking, squeezing, drafting), and not in one “sort out my mail.” You remain an editor and do not submit anything inconsistent. Rule: the routine is broken down into a conveyor belt of simple AI steps, where a person controls the finale.

How it's graded · passing score 70

  • 1Valid JSON without text around it30%
  • 2There is an array pipeline and why35%
  • 32+ steps: classification, squeeze, standard drafts, hand stack35%
Your promptClaude ⌄