AI that turns CSV files into structured executive analysis

Hacker News

Share card

AI that turns CSV files into structured executive analysis

I’ve been building a tool called Introspect. The core idea: Most CSV tools visualise data. Most AI tools summarise data. Very few consistently interpret data in a way that feels executive-ready. Introspect takes a CSV and generates: • An executive summary grounded in the actual dataset • Structured, tagged insights (risk, concentration, change, opportunity, etc.) • Primary driver analysis • Visualisations tied directly to interpretive claims • A strategic conclusion layer • Regeneration that reframes the narrative from a new analytical angle The important part isn’t “AI summary.” It’s enforced analytical structure. The AI layer is constrained to: • The actual headers and sampled rows • Deterministic chart logic • Insight density requirements • Structural normalization before render If the AI under-produces, fallback logic guarantees: • A minimum number of meaningful insights • Non-generic observations tied to row/column counts • No empty dashboards The regeneration feature is particularly interesting. It doesn’t change the underlying data logic. It reframes the interpretive layer. For example: • Focus on volatility instead of growth • Emphasise concentration risk instead of performance spread • Shift from descriptive to operational framing It uses controlled variation while maintaining structural constraints. The goal is not to replace BI tools. It’s to reduce the gap between: “I have a CSV” and “I have something I can send to a board or leadership team.” Still early. I’d value feedback from people building AI-native data tools.