Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
A practical guide to building production-grade AI pipelines using LangChain and LlamaIndex, covering when to use each framework, architecture patterns, and lessons from real deployments.
Learn how agentic AI is advancing veterinary diagnostics, enabling real-time livestock health monitoring, and improving animal disease detection across the US, Europe, Australia, and India.
Explore how agentic AI is optimizing water treatment plants, predicting demand patterns, detecting leaks, and improving water quality management for utilities across the US, Europe, India, and the Middle East.
Anthropic's computer use capability lets Claude interact with desktop interfaces — clicking, typing, and navigating applications. Technical architecture, use cases, and safety implications.
The near-future of Claude agentic workflows — longer autonomy, richer MCP ecosystems, agent-to-agent coordination — and how to prepare your systems today.
The metrics and signals that prove a Claude agentic workflow works — task success, cost per outcome, autonomy rate, eval gates, and the numbers that lie.
A realistic end-to-end walkthrough of building a Claude support-triage agent — from fuzzy problem to eval-gated, shadow-tested, shipped production workflow.
Failure modes, blast radius, and containment patterns for production Claude agents — ship autonomous workflows without betting the company on them.
The roles, skills, and org shifts teams need to ship Claude agentic workflows — from eval authoring and tool design to agent SRE and context engineering.
