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30-in-15 · #12 — CSV → Insights Analyst (build-in-public post)
Attach: a screen-recording / screenshot of a CSV going in → charts + findings coming out. Demo: https://insights.gritai.solutions · Repo: https://github.com/GritAI-Labs/csv-insights
📊 Project #12 of my "30 AI Projects in 15 Days": upload a CSV, get charts and a plain-English briefing back.
The twist is what it won't do. Most "AI analyzes your data" tools let the model read the numbers and write about them — which means the model can also make numbers up. This one can't. A deterministic pandas pass computes every statistic and every chart first; the AI only gets that finished profile and turns it into prose. If a figure is in the writeup, pandas computed it. The model literally never touches the arithmetic.
I went a step further on honesty. Small models love to bolt on units the data never had ("16.4°C", "3 mm") and invent methodology ("three standard deviations from the mean" when I used a different method). So there's a deterministic pass that strips guessed units, and the model is told to describe what the numbers show, not how they were computed. Percentages survive — because we compute those.
What you get: shape, missing-data and outlier flags, correlations, distributions, a trend line if there's a date column, top categories — and a short briefing that leads with what's interesting and ends with the questions the data could answer next.
Two tiers, same as the rest: this hosted demo writes the narrative with a hosted model; the GritAI Studio version runs the whole thing on your own local GPU fleet — free per-analysis, fully private, nothing leaves your network.
▶ https://insights.gritai.solutions ⭐ https://github.com/GritAI-Labs/csv-insights
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📊 #12 of my 30 AI projects in 15 days: upload a CSV → charts + a plain-English briefing.
The catch: the AI never touches the numbers. pandas computes every stat + chart; the model only writes the story. Guessed units get stripped. Grounded by construction.
→ https://github.com/GritAI-Labs/csv-insights
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