Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build a multi-agent debate system where pro and con agents construct opposing arguments while a judge agent evaluates quality, driving convergence toward more accurate and nuanced answers.
Build an AI agent that reads documents, extracts named entities and their relationships, constructs a knowledge graph stored in Neo4j, and provides a natural language query interface over the graph.
Comprehensive guide to every action type UFO can perform — from basic clicks and keyboard input to scroll operations, UIA element interactions, and application-specific control manipulation.
Explore multi-agent reinforcement learning (MARL) concepts including reward shaping, cooperative versus competitive strategies, and policy gradient methods for agent teams with practical Python implementations.
Learn how to capture web page screenshots and send them to GPT-4 Vision for element identification, layout understanding, and structured analysis that powers browser automation agents.
Build resilient Playwright AI agents with comprehensive error handling for timeouts, missing elements, navigation failures, and network errors, plus retry decorators and graceful degradation strategies.
Compare GPT Vision and DOM parsing for browser automation. Learn when visual understanding outperforms HTML analysis, how to build hybrid approaches, and a practical decision framework for choosing the right method.
Deep dive into Microsoft UFO's dual-agent system where HostAgent orchestrates application selection and AppAgent executes in-app UI actions, with detailed coordination flow and plan execution examples.
Understand the MRKL (Modular Reasoning, Knowledge, and Language) architecture that combines LLMs with specialized expert modules, intelligent routing, and structured knowledge retrieval for building powerful AI systems.
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