Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to use gRPC and Protocol Buffers for high-performance communication between AI agent services, covering protobuf definitions, streaming RPCs, service mesh integration, and real-world performance benefits.
Compare gRPC and REST for inter-service communication in AI agent architectures. Understand protobuf schemas, streaming capabilities, code generation, and when to choose each protocol.
Learn practical techniques to detect and reduce LLM hallucinations in AI agents, including grounding with source documents, citation verification, confidence scoring, and human-in-the-loop escalation patterns.
Implement robust ambiguity handling in AI agents with detection strategies, clarifying question design, confirmation patterns, smart defaults, and disambiguation techniques.
Build conversational AI agents that detect off-topic messages, deflect gracefully without being rude, and use engagement hooks to guide users back to productive conversations.
Build resilient applications that gracefully handle OpenAI API errors with exponential backoff, rate limit management, circuit breakers, and fallback strategies.
Build resilient structured output systems that handle LLM failures gracefully. Learn retry strategies with exponential backoff, fallback schemas, partial result recovery, and graceful degradation patterns.
Learn how Haystack's pipeline architecture and component-based design enable building production-grade NLP and agent systems with flexible routing, branching, and ready-made components.
Design robust health check and readiness probe endpoints for AI agent services that verify dependencies, enable graceful startup and shutdown, and integrate with container orchestrators.
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