Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build a complete voice-controlled AI agent on a Raspberry Pi, covering hardware setup, model selection, audio input/output, wake word detection, and tool integration for home automation.
Implement per-user rate limiting, token budgets, sliding window algorithms, and graceful degradation strategies to protect your AI agent system from abuse while controlling LLM API costs.
Implement role-based access control for AI agents to restrict which tools each user can invoke, define permission models, enforce authorization at the tool level, and maintain audit logs for compliance.
Understand the difference between bi-encoders and cross-encoders, then build a re-ranking pipeline that dramatically improves search precision by scoring query-document pairs jointly rather than independently.
Understand the ReAct (Reasoning + Acting) pattern that powers most modern AI agents, with a step-by-step breakdown of observation loops and a working Python implementation.
AI agents are now handling property matching, scheduling, negotiation assistance, and paperwork across major real estate platforms, closing billions in deals.
Learn how to set up Grafana dashboards for AI agent monitoring, configure data sources, design effective panels for latency, throughput, and error rates, and create alert rules that catch problems before users notice.
Explore how embedded AI vision systems enable real-time on-device inference for IoT, smart cameras, robotics, and wearable devices at the network edge.
Build a real-time data ingestion system for AI agents using change data capture, webhook receivers, and stream processing to keep agent knowledge bases continuously updated.
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