Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
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.
Build an AI agent that ingests monitoring alerts, classifies severity, executes runbook steps automatically, and escalates critical issues to on-call engineers.
Build an AI agent that automates the move-in and move-out process, including checklist management, utility coordination, key tracking, and security deposit processing.
Build multi-agent systems using the raw Anthropic API without any framework. Learn patterns for routing, delegation, result aggregation, and inter-agent communication using plain Python and Claude.
Build a multi-input AI agent that handles user text alongside uploaded files of any format. Learn file upload handling, automatic format detection, unified processing pipelines, and how to generate contextual responses from mixed inputs.
Build an AI agent that handles new patient intake by guiding patients through digital forms, validating medical history entries, integrating with EMR systems, and coordinating document collection before their first visit.
Build AI agents that work fully offline using local model caching, request queuing, and intelligent sync strategies that reconcile state when connectivity returns.
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.
Build an AI agent that matches students for peer tutoring based on skills, availability, and learning preferences, while collecting feedback and tracking tutoring quality.
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