Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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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.
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 a full-featured e-commerce chatbot agent that handles product search, comparison, cart management, and checkout assistance with real-time inventory and payment integration.
Set up vLLM for production-grade LLM inference with PagedAttention, continuous batching, and OpenAI-compatible APIs. Learn performance tuning for serving open-source models at scale.
Learn how to secure agentic AI applications with pre-deployment testing, runtime guardrails, and data protection strategies. A practical guide for enterprise AI security.
Master shared state management in multi-agent systems using the OpenAI Agents SDK's RunContext, including shared context objects, state mutation patterns, race conditions, and consistency strategies.
Design structured conversational flows with the OpenAI Agents SDK including state machines, slot filling, context tracking, and graceful conversation control for multi-turn interactions.
Build an AI agent that answers employee compensation questions including pay stub breakdowns, tax withholding explanations, benefits enrollment details, and HSA/FSA management — with strict data security.
Design secure multi-user memory systems for AI agents with strict user isolation, memory partitioning, encryption at rest, and fine-grained access control to prevent data leakage.
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