Tutorials, guides, and insights for building AI applications
Move beyond simple chat interfaces with practical patterns for tool use, planning, memory, approvals, and monitoring in agentic AI applications.
Learn how to evaluate retrieval-augmented generation systems with test sets, relevance metrics, answer groundedness, and regression checks.
Design better AI features by combining text, screenshots, voice notes, documents, and video clips without overwhelming users.
Explore when local models make sense for privacy, latency, cost control, offline workflows, and prototyping.
A practical guide to using AI coding assistants for planning, refactoring, testing, documentation, and pull request review.
Turn AI ethics into day-to-day engineering practices with risk tiers, evaluations, audit logs, privacy controls, and human oversight.