AI & automation
Understand capabilities, costs, limitations, and risks before adding AI to a product or workflow.
AI products, agents, model trade-offs, and responsible automation.
Structured Course Available: Follow our comprehensive curriculum on autonomous agent design, architectures, and evaluation: Explore the AI Agents Course Track →
A guided route
Learning path
Read in order to build understanding step by step. This path grows as new articles are published.
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When Should You Use an AI Agent in a Product?
A decision framework for choosing between deterministic software, a single model call, and an AI agent with tools and multiple steps.
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How to Build a Production Evaluation Suite for LLM Applications and AI Agents
A practical engineering framework for testing generative AI products: automated golden datasets, semantic assertions, LLM-as-a-Judge rubrics, and C...
