Building Conversational AI with WebRTC and LLMs: Real-Time Voice Agents
A technical guide to building real-time voice AI agents using WebRTC for audio transport, speech-to-text, LLM reasoning, and text-to-speech in a low-latency pipeline.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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A technical guide to building real-time voice AI agents using WebRTC for audio transport, speech-to-text, LLM reasoning, and text-to-speech in a low-latency pipeline.
How to build responsive AI applications using streaming, WebSockets, and SSE, with practical patterns for token streaming, agent status updates, and real-time collaboration.
How to design APIs for AI agent platforms — comparing REST, GraphQL, and gRPC for agent invocation, streaming responses, tool registration, and multi-agent orchestration.
A technical overview of AI alignment progress — RLHF, Constitutional AI, debate-based alignment, and scalable oversight. How the field has evolved and where the hard problems remain.

In-Context Learning (ICL): How Modern LLMs Learn Without Retraining
KPMG projects agentic AI will drive $3 trillion in corporate productivity gains. With 44% of finance teams adopting AI agents in 2026, the shift from automation to autonomy is accelerating faster than anyone predicted.
How agentic AI systems automate lab experiments, analyze research data, conduct literature reviews, and generate hypotheses to accelerate discovery in research labs worldwide.
Expert predictions for AI agents over the next 12 months — from autonomous coding and enterprise adoption to regulatory frameworks and the emergence of agent marketplaces.
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