Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build an AI agent that handles class bookings, answers membership questions, manages trial signups, and drives retention for fitness studios — from yoga studios to CrossFit boxes.
Design a multi-layer caching architecture for AI agent systems using Redis, application-level caches, and TTL strategies to reduce latency and LLM API costs while preventing cache stampedes and stale data problems.
Build an AI assistant for real estate agents that searches property listings, performs comparative market analysis, generates valuations, and prepares transaction documents.
Learn how to build an AI agent that recommends accurate clothing sizes by mapping body measurements to brand-specific sizing charts, predicting fit preferences, and reducing return rates in fashion e-commerce.
Learn to configure HTTP connection pooling with httpx and aiohttp for AI applications. Reduce latency, manage connection limits, and optimize DNS caching for LLM API calls.
Implement robust consent frameworks, data minimization, and purpose limitation in AI agent systems with practical code examples for GDPR-compliant data handling.
Master the three core techniques for reducing AI model size for edge deployment — pruning, knowledge distillation, and quantization — with practical code examples and quality preservation strategies.
Learn how to build an AI agent that generates Comparative Market Analyses by pulling comparable properties, analyzing market data, applying valuation models, and producing professional reports.
Long-lived TURN credentials and unauthenticated WebSocket signaling are the #1 cause of WebRTC abuse in 2026. Short-lived JWT plus ephemeral TURN tokens cut credential reuse to zero.
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