I built an AI-powered research intelligence platform that helps analysts and business teams query complex datasets through a single conversational interface.
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Research teams often work across disconnected databases, reports, spreadsheets, dashboards, and documents. This slows analysis, makes cross-source searching difficult, and can reduce trust in AI-generated answers.
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The platform combines RAG, AI agents, natural-language-to-SQL, structured and unstructured retrieval, source attribution, confidence scoring, and evaluation pipelines.
Users can ask a business question in natural language, and the system decides whether to search documents, query databases, run SQL, or combine multiple sources before returning an evidence-backed answer.
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The system evaluates answer correctness, retrieval quality, SQL accuracy, source relevance, hallucination risk, and response performance. Low-confidence results are captured for review and continuous improvement.
The frontend is built with React + TypeScript and includes AI chat, dataset exploration, source references, analytics, evaluation dashboards, and real-time updates.
We've been having a lot of fun testing AI recently in a brand and web projects.
I'm a big believer in everything we produce is human first and AI assisted to help spin up ideas of enhance our digital presence. Behind the scenes there isn't anything we can't achieve in digital now.
With Claude 5.5, An initial brief and just a few prompts later on a logo animation and I can visualise what I want for my animators and not just have to talk them through a few slides.
Most will say do we even need to improve what claude spits out, but I notice the little things and the little things are why we are always busy.
But this unlock has huge potential for us and our clients.