19. Data Preparation for AI

Prepare documents, logs, code snippets, and examples so AI can use them correctly.

By Jacques Botte, founder of Toptronic®. Last updated 12 September 2026.

The lesson

Clean input beats clever prompting. Remove irrelevant noise, label files clearly, preserve exact error messages, and give small examples that show the desired pattern.

For long documents, provide a summary plus exact excerpts. For code, include file paths, language versions, commands run, and observed outputs.

The Data and Examples sections in TPEE are where this preparation becomes visible.

Check yourself

Question 1: What beats clever prompting?
  1. Random files
  2. Clean, labeled, relevant input data — correct
  3. More vague text
  4. No examples

Answer: Clean, labeled, relevant input data

Good input greatly improves AI output.

Question 2: For code help, what data is useful?
  1. File paths, versions, commands run, errors, and observed outputs — correct
  2. Only project name
  3. Only a logo
  4. Nothing

Answer: File paths, versions, commands run, errors, and observed outputs

Precise diagnostic context helps solve real issues.

Question 3: Where does TPEE make data preparation visible?
  1. Only the About dialog
  2. Only theme settings
  3. Only window title
  4. Data and Examples sections — correct

Answer: Data and Examples sections

Those sections carry grounding facts and patterns.

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