Oregon Engineering Teams Choose Vertex for Claude Sonnet 4.6
Infrastructure-level look at Claude Vertex Oregon, including Pacific Northwest cloud, deployment topology, region availability, and cost considerations.
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
Infrastructure-level look at Claude Vertex Oregon, including Pacific Northwest cloud, deployment topology, region availability, and cost considerations.
An agentic-AI perspective on Claude memory tool, covering orchestration patterns, tool use, and how agent memory fits production agent stacks.
Infrastructure-level look at Claude Sonnet 4.6 Bedrock, including AWS AI, deployment topology, region availability, and cost considerations.
Braintrust positioned itself as the eval platform for serious AI teams in 2026. Datasets, scorers, and CI integrations in practice with concrete pricing and trade-offs.
Burr from DAGWorks treats agents as explicit state machines. The trade-offs against LangGraph and where Burr fits a regulated workload that needs strict control flow.
A Miami DTC brand uses CrewAI Studio to run a daily merchandising agent crew that updates collections, hero copy, and email sends — and the lift it produced.
Real human memory decays continuously over time. Why your agent should too — and the four decay strategies that keep recall accurate without exploding storage cost.
Bedrock Claude + Transcribe streaming + Polly Neural runs $0.06–$0.10 per minute on paper. The honest math reveals where the AWS-native stack beats and where it loses to OpenAI Realtime.
Your agent's memory, embeddings, and conversation state all live in Postgres. Backups must include vector data and survive a full-region loss. Here's how CallSphere does PITR for 115+ tables.