AI & Machine Learning · page 31

Practical checkbox checklists grouped by phase.

What the code does, step by step, plus gotchas.

Concrete issues and fixes for bugs, smells and performance — with improved code.

Token-by-token explanation with match examples.

Plain-English walkthrough of any query, clause by clause.

What the error means, the likely cause, and the 3 most probable fixes.

Document any JSON structure as a clean field table.

As-a/I-want/so-that stories with acceptance criteria.

Turn commit messages into user-facing Added/Changed/Fixed notes.

Polished release notes with headline and highlights.

3 conventional-commit options from your diff.

Warm-up, technical and behavioral questions with good-answer notes.

8 multiple-choice questions with answers and explanations.

12-15 FRONT/BACK study cards covering the material evenly.

Day-by-day plan with topics, resources and recall practice.

Simple words, a story and an everyday comparison for any topic.

Detect the language, script and confidence of any text.

Describe an image in words and get 3 accessibility-ready alt text options.

A tailored cover letter mapping your background to the job — under 350 words.

Rewrite experience lines with strong verbs and quantified impact.

8 headline options that show value and specialization.

6 bio options under 160 characters.

A complete, professional README from your project description.

Firm but polite refund requests with resolution and deadline.