Voice Agent Memory for Receptionist Bots: A Real Production Build
Receptionist bots need to remember callers across visits without violating privacy. The privacy-aware memory architecture for voice receptionists that scales cleanly.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Receptionist bots need to remember callers across visits without violating privacy. The privacy-aware memory architecture for voice receptionists that scales cleanly.
Acknowledgments table, ladder configs, 120s timeout — built-in on CallSphere. On Vapi this is a from-scratch state-machine engineering project.
A practical engineering deep dive into Claude Code 2.1 Seattle, covering architecture, tradeoffs, and what production teams need to know about Pacific Northwest dev.
Public refusal benchmarks show Claude declines legitimate enterprise prompts more than peers. Here is how to quantify the cost and engineer around it.
London fintech scaled AI agents fast in 2026 across the neobank cohort. We profile Revolut, Monzo, and Starling deployments, the FCA implications.
Marketing context length is not effective context. We test Claude's memory under realistic load, compare to Gemini and GPT, and give you a hard rule of thumb.
SMB Founder Playbook perspective on Anthropic launched a signed MCP registry to solve the server discovery and trust problem that held back enterprise adoption.
Inside Amazon's ~$8B cumulative investment in Anthropic, Trainium exclusivity, AWS Bedrock distribution, and what compute capture means for governance independence and enterprise risk.
Claude and GPT hallucinate in different shapes. We compare confident factual vs process hallucinations and explain why calibration beats raw rate.
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