AI Applications · Prompt Engineering · Industry Adoption

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Field notes on AI applications, prompt and context engineering. Real experiments, thoughtful observations, and room for the next idea.

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2026-09-15
Selected readingModel Selection

Opus, Sonnet, Haiku: How to Actually Pick One

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Meet Ank
Ank

Ank

AI application developer / prompt engineering practitioner

I work on AI applications, prompt engineering, context engineering, and automated workflows. These practical notes distinguish experience from documented tests and include methods for further verification.

What I write about

  • 01AI app development
  • 02Prompt & context engineering
  • 03Model selection & cost
  • 04Automated workflows
China

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Structured OutputGetting Models to Return Clean JSON: Four Structured Output TrapsThe real traps are rarely about format. They're about fields: the JSON parses fine, the content isn't what you asked for.EssayThe More AI Writes for Me, the More I Worry I'm Faking ItAI lets output run ahead of understanding. Code that works and a plan that sounds right don't mean you actually get it.Education AIAI Tutors Are Hot, but Teaching Is the Wrong Job for ThemOverrated: personalized instruction replacing teachers. Underrated: getting teachers out from under repetitive work.Few-shotGiving the Model Examples: Four Counterintuitive Things About Few-ShotExamples beat a pile of adjectives. But the wrong ones are worse than none, because the model learns the traits you never noticed.Claude CodeClaude Code: A Practical Command HandbookFrom slash commands to pipe scripts, the Claude Code commands that actually earn their keep every day, collected into a handbook you can copy from.

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RAG

RAG Is Not a Silver Bullet: When to Use It, When Not To

Stuffing every question into a vector store won't make your AI smarter. It might make it dumber.

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001AI App Development3 posts002Prompt Engineering3 posts003AI × Industry3 posts004AI Workflows3 posts005Models & Evals2 posts006Notes & Observations4 posts