Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Implement text classification systems using structured outputs. Build sentiment analysis, intent detection, and hierarchical category classification with enum constraints, confidence scores, and multi-label support.
Deep dive into LCEL's pipe operator, RunnablePassthrough, RunnableParallel, branching, and fallback patterns for building flexible, declarative AI pipelines in LangChain.
Master LangChain tool creation patterns including the @tool decorator, StructuredTool class, Pydantic input schemas, async tools, and error handling for production-grade agent tools.
Learn how to extract structured data from LLM responses using LangChain output parsers — Pydantic models, JSON parsing, format instructions, and retry parsers for robust extraction.
Master the art of combining vector similarity search with metadata filters, including pre-filter vs post-filter strategies, performance implications, and query design patterns across databases.
Sakana AI's research agent system produces a novel materials science paper accepted by Nature Communications, marking a watershed moment for autonomous scientific discovery.
Companies like Mem0, Zep, and Letta tackle the critical challenge of giving AI agents persistent, retrievable memory across sessions and conversations.
Master the lifecycle hook system in OpenAI Agents SDK to add custom logging, metrics collection, request modification, and observability at every stage of agent execution.
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