production
7 results
Prompt Engineering for RAG Pipelines: How to Write Queries That Actually Retrieve the Right Context
Retrieval-Augmented Generation lives or dies on query quality. Most teams get the retrieval wrong, not the generation.
Prompt Caching: How to Cut AI API Costs by 80% (Anthropic + OpenAI)
A practical guide to prompt caching on Anthropic and OpenAI APIs — how it works, what it saves, and the patterns that maximize cache hit rates in production.
Prompt Injection Defense in Production AI Systems
How to detect, prevent, and harden real AI applications against prompt injection attacks — with code patterns and system prompt templates.
Agentic RAG — Moving Beyond Simple Q&A
Simple RAG retrieves once and answers. Agentic RAG lets the model decide what to retrieve, when, and how many times — here's how it works and when to use it.
AI Agent Evaluation: How to Know If Your Agent Actually Works
Move beyond vibes-based testing — build a proper eval framework for AI agents covering task completion, hallucination rate, latency, and cost with real tooling recommendations.
Build a Customer Support AI Agent That Doesn't Hallucinate
How to architect a grounded AI support agent using RAG, strict system prompt rules, and adversarial testing — so it never makes up answers about your product.
