Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build a production voice AI call center featuring WebRTC-based agent pools, real-time call monitoring, concurrent call handling, and a post-call analytics dashboard with sentiment and intent scoring.
Build robust webhook systems for AI agent services, covering webhook design patterns, delivery guarantees with retries, payload signature verification, and event-driven architectures that keep agents reactive and loosely coupled.
Explore how multi-agent AI systems reach agreement using consensus algorithms including majority voting, weighted averaging, and Byzantine fault tolerance. Includes Python implementations for each pattern.
Master the design patterns for chat agent conversation flows including state machines for guided flows, free-form handling for open-ended conversations, and hybrid approaches that combine structure with flexibility.
Explore the Mistral family of open-source models, from the efficient 7B to the powerful Mixtral 8x22B mixture-of-experts. Learn model selection, API setup, and agent integration patterns.
Build a code review agent that parses GitHub PR diffs, analyzes code changes with Claude, generates actionable suggestions, and posts review comments via the GitHub API.
Build an AI agent for medication adherence that handles reminder scheduling, drug interaction checking, refill tracking, and caregiver notifications — with practical Python implementation.
Create an AI-powered language learning agent that simulates real conversations, corrects errors in context, tracks vocabulary acquisition, and automatically adapts to the learner's proficiency level.
Build an AI agent that looks up order status in real time, formats tracking updates conversationally, sends proactive notifications, and integrates with shipping carrier APIs for end-to-end visibility.
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