Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Explore how GraphQL enables AI agent systems to fetch exactly the data they need, with schema design for conversations, subscriptions for real-time streaming, and efficient pagination patterns for agent histories.
Learn how to use Claude's extended thinking feature to unlock deeper reasoning for complex agent tasks. Understand thinking blocks, budget tokens, and when extended thinking outperforms standard responses.
Build an intelligent ETL pipeline agent that uses LLMs to infer schemas from messy data, transform records with natural language instructions, and validate data quality at each stage.
Learn how to build safety evaluation pipelines for AI agents including red team datasets, automated harm scanning, policy compliance scoring, and production safety monitoring.
Learn how to design normalized database schemas for AI agent systems that store conversations, messages, tool calls, and metadata with proper indexing and query patterns for production workloads.
Learn how to export AI agent models to ONNX format, optimize them with ONNX Runtime, and deploy cross-platform for consistent inference performance on any hardware.
Build a PDF processing agent that extracts text, tables, and charts from documents using Python. Covers page-level parsing, table detection with pdfplumber, chart analysis with vision models, and structured output generation.
Build an AI agent that generates professional documents like contracts, proposals, and reports by combining template engines, dynamic data injection, and PDF rendering with version tracking.
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