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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.
9 min read
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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.
9 min read
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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.
10 min read
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Fine-Tuning vs. Prompting in 2026: When Each Actually Makes Sense
The calculus on fine-tuning has shifted significantly. Here's the updated decision framework for when prompting alone is enough and the specific cases where fine-tuning still wins.
9 min read
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