Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Technical analysis of NVIDIA's Vera CPU designed for agentic AI workloads — why the CPU is the bottleneck, how Vera's architecture addresses it, and what it means for agent performance.
How to build AI agents that catch and fix their own errors through output validation, reflection prompting, retry with feedback, and graceful escalation when self-correction fails.
Learn how ServiceNow's Now Assist and AI agents automate IT service management, HR service delivery, and customer service workflows with enterprise-grade reliability.
Complete testing guide for AI agents covering mocking LLM responses for unit tests, integration testing with tool calls, and end-to-end evaluation with golden datasets.
Practical strategies for reducing LLM token costs in agentic systems including compact prompts, tool result summarization, selective context, and model tiering approaches.
Post-purchase upsell and cross-sell opportunities often disappear because follow-up is weak. Learn how AI chat and voice agents reopen those moments at scale.
Meta's 2026 messaging API gets calling, native verification badges, and deprecates Message Tags. Here is the migration map for chat agents.
What it actually takes to get a Socket.IO cluster past 100,000 concurrent connections in 2026: sharded Redis adapter, namespace partitioning, and the bottlenecks nobody warns you about.
Daily Bots ship Pipecat agents on Daily's global WebRTC mesh in minutes. Here is how the stack maps to a CallSphere-style production deployment.
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