Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build HTTP-based tools that let AI agents fetch web pages, parse content, and extract structured data. Covers request handling, HTML parsing, rate limiting, error handling, and responsible scraping practices.
Write comprehensive tests for AI agent APIs using pytest and httpx. Covers TestClient usage, async test patterns, fixture design for database and LLM mocking, and strategies for testing streaming endpoints.
Set up background task queues for AI agent workloads using Celery, RQ, and Dramatiq. Learn worker patterns, retry policies, and result backends for reliable agent job processing.
Implement a voice interface for AI agents using the MediaRecorder API, real-time audio waveform visualization with Canvas, and audio playback controls in React.
A comprehensive guide to building HIPAA-compliant AI agents covering encryption, access controls, audit logging, Business Associate Agreements, data retention policies, and breach notification procedures.
A step-by-step tutorial for building a voice AI agent using the OpenAI Realtime API — covering WebSocket setup, audio streaming, function calling, session management, and production deployment patterns.
Build an AI revenue management agent that implements dynamic pricing for hotels, forecasts demand, analyzes competitor rates, and optimizes occupancy through intelligent rate adjustments.
Build a production SaaS platform where multiple tenants can create and deploy AI agents with tenant isolation, a visual agent builder, usage tracking, and Stripe-based usage billing.
Confidential computing protects AI workloads through encrypted inference, secure enclaves, and hardware-enforced trust boundaries. Learn how it secures sensitive AI operations.
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