Developer Builds Suite of AI Agents Spanning Finance, Healthcare, and Research

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A software developer has publicly documented the creation of several AI-powered applications designed to explore what large language models can do beyond simple prompt-response interactions. The projects include a Deep Research Agent that generates structured reports through multi-stage workflows, and an Autonomous Financial Research Agent that uses ReAct-style reasoning alongside memory systems and SEC EDGAR data. A dental appointment bot demonstrates AI integration with real business workflows, supporting booking via web, SMS, WhatsApp, and voice channels. An enterprise RAG system called NexusBase focuses on query routing, vector search, and structured response evaluation using a containerized architecture. All projects are available on GitHub with live demos, and collectively highlight practical patterns in agentic AI, retrieval-augmented generation, and production-grade application design.

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