Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build an AI agent for municipal parks and recreation departments that handles program catalog search, class registration, facility reservations, and seasonal event information for community members.
Multi-agent AI systems generate up to 15x more tokens than single-agent setups. Learn proven context management strategies to control costs and maintain performance.
Edge AI runs inference directly on devices, eliminating cloud latency and enabling real-time decisions. Learn how on-device AI works and where it delivers the most value.
Hybrid architectures that interleave transformer attention layers with state-space model blocks like Mamba deliver faster inference and lower memory usage. Learn how they work and when to use them.
Build an AI-powered Discord bot that acts as a server assistant using TypeScript. Covers discord.js setup, slash command registration, conversation context management, tool integration, and permission-based access control.
Learn how to design WebSocket-based architectures for AI agents, covering connection lifecycle management, protocol framing, heartbeat mechanisms, and automatic reconnection strategies for production reliability.
Build an AI agent that tracks patient queue positions in real time, estimates accurate wait times using historical data, sends proactive notifications, and offers rebooking options when delays occur.
Learn how AI agents break down complex goals into executable steps using task decomposition, hierarchical planning, plan-and-execute architecture, and dynamic replanning strategies.
Implement blue-green deployment strategies for AI agent services to achieve zero-downtime updates, safe model swaps, traffic splitting, and instant rollback for prompt and model changes.
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