Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build a complete retrieval-augmented generation knowledge base with document ingestion, semantic search, a chat interface for users, and an admin panel with analytics for managing content.
Build a production voice AI call center featuring WebRTC-based agent pools, real-time call monitoring, concurrent call handling, and a post-call analytics dashboard with sentiment and intent scoring.
Build a complete voice-powered appointment booking system using Twilio, speech-to-text, text-to-speech, calendar integration, and intelligent booking logic with a FastAPI backend.
Set up CDN and edge caching for your AI agent's static assets, API responses, and pre-computed results to reduce global latency with proper cache headers, edge functions, and geographic optimization.
Implement the Chain of Responsibility pattern for AI agents with fallback chains, capability matching, and cost-optimized ordering to handle requests efficiently.
Learn how chain-of-thought (CoT) prompting dramatically improves LLM accuracy on reasoning tasks. Covers manual CoT, auto-CoT, tree-of-thought, and when step-by-step reasoning helps most.
Discover how to apply chaos engineering to AI agent systems by designing controlled failure experiments, measuring blast radius, defining steady state, and building confidence in agent resilience under real-world conditions.
Implement secure authentication for chat agents with JWT tokens, anonymous-to-authenticated session linking, user identification strategies, and session security best practices for production deployments.
Master the techniques for managing conversation context in chat agents, including context window optimization, message pruning strategies, summarization, and topic tracking for coherent multi-turn interactions.
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