Building a Multi-Agent Research System: Architecture and Lessons
Practical architecture for multi-agent research with Claude -- orchestration, agent specialization, result synthesis, and production lessons.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Practical architecture for multi-agent research with Claude -- orchestration, agent specialization, result synthesis, and production lessons.
Data-driven ROI analysis of AI voice agents for dental. Covers costs, savings, and implementation.
Deep dive into the orchestrator-subagent architecture pattern used in Claude Code and the Claude Agent SDK. Learn how task decomposition, delegation, and result synthesis work under the hood.
A step-by-step guide to building a production-grade LLM evaluation framework that measures accuracy, safety, and quality across model versions and prompt changes.
Compare CallSphere and Goodcall for AI voice agents. See features, pricing, compliance, and which platform is better for your business.
Using Claude to generate accurate, useful code documentation that stays in sync with code changes via CI/CD integration.
A practical guide to deploying reasoning and chain-of-thought models in production, covering when extended thinking adds value, cost-performance tradeoffs, and implementation patterns.
Learn how AI automates after-hours answering for salon & beauty businesses. Covers implementation, results, and integration with Vagaro.
Learn how AI voice agents help legal businesses automate lead intake and more. Covers implementation, ROI, and real-world results.
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