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
Deploy a HIPAA-eligible voice agent on AWS App Runner: FastAPI WebSocket bridge, Bedrock Claude for reasoning, ECR auto-deploy from GitHub, VPC connector for private RDS.
Live news studios in 2026 deploy an AI fact-checker behind every anchor, validating claims against trusted sources and offering on-air corrections within 30 seconds. Here is the production stack.
Starting June 30 2026 every A2P 10DLC campaign needs a privacy URL and T&C URL. We walk through Trust Hub Customer Profile → Standard Brand → Campaign with AI-friendly use cases, the Authentication+ flow, and real campaign approval timelines.
Longer autonomy, agent-to-agent ecosystems, and ambient computer use — where enterprise Claude agents are going and how to prepare your org today.
The metrics that prove a Claude transformation works: task success vs baseline, accuracy-gated deflection, cost per resolution, and leading indicators.
A realistic end-to-end Claude agent build: scope a support backlog, write evals, wire MCP tools, ship in suggestion mode, and measure the outcome.
Failure modes, blast radius, and containment for enterprise Claude agents — typed tools, approval gates, injection defense, and audit-ready rollback.
The skills and roles enterprises need for a Claude-driven AI transformation: agent engineers, eval owners, skill librarians, and how to interview for them.
Scale Claude from one team to the whole enterprise without chaos — shared platform, reusable skills, a center of excellence, and federated governance.
