Agentic Product Architecture With Claude, End to End
The full stack of an agentic product on Claude: model loop, context assembler, tool layer, MCP servers, state separation, and guardrails.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
The full stack of an agentic product on Claude: model loop, context assembler, tool layer, MCP servers, state separation, and guardrails.
How the Claude API skill wires models, tools, MCP servers, and the agentic loop into one system across developer tools. A deep architectural walkthrough.
Deploy a compliant calling platform in South Africa with POPIA data protection, ICASA regulations, and load-shedding resilience strategies for reliable operations.
A practical engineering deep dive into Claude Code 2.1 Toronto, covering architecture, tradeoffs, and what production teams need to know about Canadian startups.
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.
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