Prompt Engineering: End to End

From clear prompts and examples to structured output, testing, and prompt security.

6 lessons · about 47 minutes of reading

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1. 1

   Prompt Engineering 101: Getting Better Results from LLMs

   Core techniques for writing prompts that produce more reliable AI output.

   7 min read

2. 2

   Prompt Engineering: Writing Structured Prompts with Roles and Context

   Build clear prompts from a role, task, context, constraints, and output format, and separate instructions from data.

   8 min read

3. 3

   Prompt Engineering: Few-Shot Examples and Reasoning

   Teach the model your format with examples, and get better answers on hard problems by encouraging step-by-step reasoning.

   8 min read

4. 4

   Getting Structured JSON Output from an LLM

   Extract reliable, validated data from text using JSON schemas and Pydantic instead of fragile string parsing.

   8 min read

5. 5

   Evaluating and Iterating on Prompts Like Code

   Build a test set, measure prompt changes, and improve prompts systematically instead of by guesswork.

   8 min read

6. 6

   Prompt Injection and Safe Prompting

   Understand direct and indirect prompt injection and apply layered defenses when LLMs process untrusted content.

   8 min read