Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
9 of 2647 articles
Build an AI venue management agent that handles event inquiries, provides venue details, schedules tours, generates customized proposals, and manages automated follow-up sequences.
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.
Learn the blackboard architectural pattern for multi-agent AI coordination. Build a shared knowledge space where specialized agents contribute partial solutions that converge into complete answers.
Discover how swarm intelligence principles like stigmergy, ant colony optimization, and particle swarm optimization can be applied to multi-agent AI systems. Includes Python implementations of each pattern.
Learn how to build a Mixture-of-Agents (MoA) architecture that combines outputs from multiple LLMs using a proposer-aggregator pattern to produce higher quality results than any single model.
A practical framework for deciding when to create specialized single-purpose agents versus general-purpose agents. Covers capability mapping, cost-quality tradeoffs, and real-world decision criteria.
Learn how to build agent factory patterns that dynamically create, manage, and clean up specialist agents based on runtime task requirements. Covers object pools, lifecycle management, and resource cleanup.
Build a reputation system that tracks agent reliability and output quality over time. Learn scoring mechanisms, trust propagation, penalty systems, and how to rehabilitate underperforming agents.
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