Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Create a fully typed MCP server in TypeScript using the official MCP SDK, with tool handlers, Zod validation, and deployment strategies for exposing Node.js services to AI agents.
Learn to build an AI agent that creates compelling rental listings with auto-generated descriptions, photo captions, SEO-optimized content, and multi-channel distribution.
Learn how to detect and handle multiple intents in a single user message, including intent splitting, parallel processing, and delivering coherent ordered responses.
Build comprehensive health monitoring for AI agent systems that checks LLM providers, databases, and tool integrations. Learn health check patterns, dependency graphs, degraded state detection, and alerting.
Master OpenAI's JSON mode and structured outputs to extract reliable, schema-validated data from LLMs with guaranteed format compliance and Pydantic integration.
Learn how to define user cohorts for AI agent interactions, perform retention analysis, cluster users by behavior patterns, and use cohort insights to personalize agent responses and improve outcomes.
Build developer tools for inspecting, visualizing, searching, and manually editing AI agent memory state, enabling effective debugging and testing of memory-dependent behavior.
Master database migration workflows for AI agent systems using Alembic and Prisma Migrate including data migrations, rollback strategies, zero-downtime deployments, and CI integration patterns.
Implement an AI-powered ticket classification system that automatically assigns priority, department, and SLA to incoming support requests using multi-label classification and intelligent routing rules.
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