Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Abstractive text summarization: compare extractive and abstractive summarization methods for AI agents, learn to control summary length and quality, and implement key point extraction pipelines in Python.
Learn how to build an AI agent that searches grant databases, matches nonprofits with eligible funding opportunities, tracks deadlines, and provides application guidance.
Walk through building a complete calculator tool for an AI agent from scratch. Covers schema definition, safe expression evaluation, result handling, and integration with the agent loop.
Master SIP trunking to connect AI agents to PBX systems and the PSTN. Covers SIP protocol basics, trunk configuration, DTMF handling, and intelligent call routing for enterprise telephony.
Implement SSE streaming, token-by-token display, typing simulation delays, and progressive loading states that make chat agents feel fast and human-like even when LLM inference takes several seconds.
Implement secure authentication for chat agents with JWT tokens, anonymous-to-authenticated session linking, user identification strategies, and session security best practices for production deployments.
Master MCP prompts — server-defined instruction templates that guide AI agent behavior with dynamic arguments, context-aware instructions, and reusable prompt patterns across multiple agents.
Learn how to build safe database query tools that let AI agents retrieve data from PostgreSQL and SQLite. Covers parameterized queries, read-only enforcement, result formatting, and guardrails against destructive operations.
Build a complete voice-powered appointment booking system using Twilio, speech-to-text, text-to-speech, calendar integration, and intelligent booking logic with a FastAPI backend.
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