Blog
AI engineering insights, practical advice, and things I'm learning.
Prompt Engineering
System Prompts: How to Write Effective LLM Instructions
System prompts define how your LLM behaves. Here's how to structure them, what mistakes to avoid, and how provider-specific behavior affects your prompt strategy.
System Prompts · Prompt Engineering · Llms
Prompt Engineering
Chain of Thought Prompting: A Developer Guide
Chain of thought prompting makes LLMs reason through problems step by step. Here's when it works, when it doesn't, and how to implement it with practical patterns.
Chain Of Thought · Prompt Engineering · Reasoning
Prompt Engineering
Few-Shot Prompting: How to Guide LLMs with Examples
Few-shot prompting teaches LLMs by example instead of instruction. Here's how to choose examples, format them, and know when few-shot is the right approach vs. fine-tuning.
Few Shot Prompting · Prompt Engineering · Llms
Ai Engineering
How to Use Claude Across Excel and PowerPoint with Shared Context and Skills
Learn how to use Claude's shared Excel and PowerPoint context, Skills, and enterprise gateways for faster analyst workflows.
Anthropic · Claude · Excel
Ai Coding
Agent Skills vs Cursor Rules: When to Use Each
Cursor has both rules and skills for customizing the AI agent. They overlap, but they're not the same. Here's when to use each and how they interact.
Agent Skills · Cursor Rules · Cursor
Ai Agents
How to Add Memory to AI Agents
AI agents without memory forget everything between turns. Here's how to implement conversation buffers, sliding windows, summary memory, and vector-backed long-term recall.
Ai Agents · Memory · Conversation History
Ai Coding
How to Create Your First Agent Skill
A step-by-step guide to writing an agent skill from scratch: directory structure, SKILL.md format, effective descriptions, common patterns, and a complete working example.
Agent Skills · Cursor · Claude Code
Ai Agents
How to Evaluate and Test AI Agents
Evaluating AI agents requires different metrics than evaluating LLMs. Here's how to measure task completion, trajectory quality, tool-use accuracy, and regression across agent systems.
Ai Agents · Evaluation · Testing
Ai Coding
What Are Agent Skills and Why They Matter
Agent skills are portable packages of instructions that extend AI coding agents. Here's what they are, how they work, and why the open standard changes how developers work with AI tools.
Agent Skills · Cursor · Ai Coding
Ai Engineering
How to Reduce LLM API Costs in Production
LLM API costs add up fast in production. Here are the practical strategies that work: prompt caching, model routing, batching, output limits, and cost-per-task tracking.
Llm Costs · Prompt Caching · Ai Engineering
Ai Engineering
LLM Observability: How to Monitor AI Applications
Traditional monitoring doesn't cover LLM applications. Here's what to log, how to trace multi-step chains, and how to detect quality regressions before users do.
Observability · Monitoring · Llm Ops
Ai Engineering
How Function Calling Works in LLMs
Function calling lets LLMs interact with external systems by requesting structured tool executions. Here's how the loop works, how to define tools, and what to watch for across providers.
Function Calling · Tool Use · Llms
Ai Agents
How to Build Stateful AI Agents with OpenAI's Responses API Containers, Skills, and Shell
Learn how to use OpenAI's Responses API with hosted containers, shell, skills, and compaction to build long-running AI agents.
Openai · Responses Api · Ai Agents
Ai Engineering
How to Stream LLM Responses in Your Application
Streaming LLM responses reduces perceived latency and improves UX. Here's how server-sent events work, how to implement streaming with OpenAI and Anthropic, and what to watch for in production.
Streaming · Llms · Server Sent Events
Ai Agents
Multi-Agent Systems Explained: When One Agent Isn't Enough
Multi-agent systems use specialized AI agents working together on complex tasks. Here's how they work, the main architecture patterns, and when they're worth the complexity.
Multi Agent · Ai Agents · Crewai
Prompt Engineering
Prompt Engineering Complete Guide
A complete guide to prompting. Why it's structured thinking, the three components of a good prompt, common mistakes, and advanced techniques like chain of thought and few-shot learning.
Prompt Engineering · Ai · Productivity
Ai Engineering
How to Evaluate AI Output (LLM-as-Judge Explained)
Traditional tests don't work for AI output. Here's how to evaluate quality using LLM-as-judge, automated checks, human review, and continuous evaluation frameworks.
Evaluation · Llm As Judge · Ai Engineering
Ai Engineering
How to Run IBM Granite 4.0 1B Speech for Multilingual Edge ASR and Translation
Learn how to deploy IBM Granite 4.0 1B Speech for fast multilingual ASR and translation on edge devices.
Speech Models · Edge Ai · Multilingual Asr
Ai Agents
AI Agents vs Chatbots: What's the Difference?
Not every AI chatbot is an agent, and not every task needs one. Here's the real distinction between agents and chatbots, the spectrum between them, and when each makes sense.
Ai Agents · Chatbots · Ai Engineering
Ai Engineering
Context Engineering: The Most Important AI Skill in 2026
Context engineering is replacing prompt engineering as the critical AI skill. Learn what it is, why it matters more than prompting, and how to manage state, memory, and information flow in AI systems.
Context Engineering · Prompt Engineering · Rag