Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build an AI agent for public libraries that searches the catalog, places and manages holds, handles account inquiries, and helps patrons discover library programs and events.
Build a production-ready MCP server in Python using FastMCP that exposes database query and mutation tools to any AI agent, complete with input validation, error handling, and async database access.
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 how to build an AI agent that schedules medical appointments with provider matching, slot optimization, and HIPAA-compliant data handling. Includes EMR integration patterns and encryption strategies.
Build an AI agent for medication adherence that handles reminder scheduling, drug interaction checking, refill tracking, and caregiver notifications — with practical Python implementation.
Build an AI agent that transcribes meeting audio, generates structured summaries with key decisions, extracts action items with assignees, and distributes notes to participants automatically.
Build developer tools for inspecting, visualizing, searching, and manually editing AI agent memory state, enabling effective debugging and testing of memory-dependent behavior.
Explore four approaches to building agent memory — in-memory lists, file-based storage, relational databases, and vector stores — with practical Python implementations and guidance on when to use each.
Learn how to build an AI agent that provides personalized menu recommendations based on guest preferences, dietary restrictions, allergen awareness, and intelligent food and drink pairings.
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