Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Explore how the Vercel AI SDK's generativeUI capability lets AI agents stream fully interactive React components to users, replacing static text responses with dynamic, data-rich interfaces.
Discover how to build AI agents that can write new Python tools at runtime, validate them in a sandbox, register them dynamically, and use them in subsequent reasoning — creating truly self-extending agent systems.
Learn how to build agent systems that route different reasoning tasks to different language models — using fast, cheap models for classification and routing, and powerful models for generation and complex reasoning.
Learn how to build a meta-agent that analyzes execution traces from other agents, diagnoses failures in tool calls and reasoning chains, suggests fixes, and can even apply automated remediation.
Master the architecture of streaming AI agents that deliver token-by-token output while interleaving tool calls, using Server-Sent Events and progressive rendering to create responsive user experiences.
Build an AI agent that reads documents, extracts named entities and their relationships, constructs a knowledge graph stored in Neo4j, and provides a natural language query interface over the graph.
Learn how to build AI agents that maintain a consistent personality, remember past interactions, consolidate memories over time, and build long-term relationships with users across multiple sessions.
Build a full-featured agent playground with a web UI that lets you test prompts live, tune parameters, compare model outputs side by side, and export working configurations for production deployment.
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