6 min read
Auditing 30 of My Posts with claude -p --json-schema
I had Haiku 5.5 audit 30 of my posts twice: once with --json-schema, once asking nicely for JSON. The shape held. The judgement moved, and that's the lesson.
Prompt Engineering
22 articles
8 min read
Why Your Azure OpenAI Prompt Cache Keeps Missing
Azure OpenAI caches prompt prefixes automatically, yet many apps see few cache hits. How to measure the hit rate and fix the prompt shapes that break it.
7 min read
Eight Prompt Engineering Myths to Drop in 2026
Eight prompt engineering myths worth dropping in 2026, from verbose prompts to reflexive chain-of-thought and temperature rules, and what to measure instead.
1 min read
Prompt Engineering Patterns for Enterprise RAG Systems
Poorly designed prompts lead to hallucinations, ignored context, or responses that fail to meet business requirements. A systematic approach to prompt…
1 min read
Prompt Engineering Patterns for Enterprise Applications
Include examples in prompts to guide model behavior for domain-specific tasks. This is especially effective for classification and formatting tasks where…
1 min read
Prompt Engineering: System Prompts That Actually Work
Invest time in crafting and testing your system prompts. They are the foundation of consistent, high-quality AI interactions.
1 min read
Prompt Engineering: Structured Output with JSON Mode
For even stricter control, use the structured outputs feature with a JSON schema. JSON mode transforms LLMs from conversational tools into reliable data…
1 min read
Prompt Engineering: Chain-of-Thought Techniques for Complex Reasoning
When faced with multi-step problems, LLMs perform better when prompted to reason step-by-step rather than jump directly to answers.
1 min read
Prompt Engineering Best Practices for Enterprise Applications
A well-structured prompt includes context, instructions, examples, and output format specifications.
1 min read
Prompt Caching with Claude and Azure OpenAI: Reducing Latency and Costs
Track cache hit rates in your monitoring. Applications with high context reuse typically see 60-80% cache hit rates, dramatically reducing per-request costs.
7 min read
Prompting in 2025: What Changes with o1 and Structured Outputs
Which prompt techniques still earn their place on Azure OpenAI in January 2025, which moved into the API, and which now work against reasoning models like o1.
2 min read
Prompt Engineering Mastery: Advanced Techniques for GPT-4
GPT-4 has been available since March 2023 and the gap between practitioners who've put in real work with it and those still writing prompts by intuition is…
2 min read
Prompt Engineering Patterns for AI Image Generation
Master prompt engineering techniques for generating high-quality images with DALL-E 2 and other AI image models.
1 min read
Prompt Compression: Reducing Token Usage
Tomorrow we'll explore semantic compression techniques in more depth. LLMLingua Prompt Compression Paper Token Optimization Guide
1 min read
Prompt Engineering Fundamentals for Azure OpenAI
Provide specific line-by-line feedback.""", requiredvars=["databasetype", "query"] ) prompt = SQLREVIEWTEMPLATE.format( databasetype="Azure SQL Database"…
6 min read
Temperature and Top-P in Azure OpenAI: What They Actually Change
How temperature and top_p reshape token sampling in Azure OpenAI completions, why to tune one not both, and how to measure the effect before you ship.
8 min read
No System Prompt Yet: Instruction Preambles on Azure OpenAI
Azure OpenAI completion models have no system role yet. How to design, budget, version and test an instruction preamble that does that job instead.
8 min read
Chain-of-Thought Prompting on Azure OpenAI: Gains, Costs and Limits
What the 2022 chain-of-thought papers show, how to apply zero-shot CoT and self-consistency on Azure OpenAI completions, and when the extra tokens don't pay.
8 min read
Few-Shot Prompts on Azure OpenAI: Choosing and Ordering Examples
How to pick, order and budget few-shot examples for Azure OpenAI completion models, with the biases to watch for and when to stop adding examples.
7 min read
Prompts Are Production Code: Four Rules for Azure OpenAI Completions
Four prompt rules that hold up against real user input on Azure OpenAI completions: positive instructions, strict formats, delimiters and roles, plus tests.
1 min read
Prompt Engineering Basics: Getting Better Results from AI
Poor prompt: "Write code for a website" Better prompt: "Write HTML and CSS for a responsive landing page for a SaaS product. Include a hero section with…
1 min read
Advanced GPT-3 Prompt Engineering: Preparing for the Next Wave of AI
The trend is clear: models are becoming more capable at following instructions and engaging in dialogue-like interactions.