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Research & Knowledge

How do I know the numbers AI gives me are actually right?

Treat AI analysis like a junior analyst's first draft: make it show the code or SQL it ran, re-run the key figures a second time, and check a few numbers you already know by heart. Tools that execute code on your actual file hallucinate far less than chat answers from memory, and asking twice catches most fabrications. A final human pass on anything going to investors is non-negotiable.

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More in Data Analysis

Why let AI analyze my data instead of learning Excel formulas or SQL? 18 → How do founders get insights from CSVs, analytics, and surveys using AI? 18 → What can AI-in-spreadsheets (Claude in Excel, Gemini in Sheets) actually do? 20 → Which AI tool should I use for data analysis: ChatGPT, Claude, Gemini, or a dedicated tool? 18 → Can AI write SQL for me and query my database in plain English? 18 → Is it safe to put my company's data into AI tools? 18 → How do I build dashboards and charts with AI, without a BI tool or a data team? 18 → How do I analyze customer feedback, reviews, and support tickets at scale with AI? 18 → Which metrics should my startup track, and how can AI help me stay on top of them? 18 → Can AI clean up my messy data: duplicates, formats, and half-filled columns? 18 → Do I still need to hire a data analyst, or can AI cover it for now? 16 → How do founders use AI for financial modeling and forecasting? 18 →

Also in Starting Up

The same ground, over in Grow & market, our Starting Up track.

What growth metrics should I actually track as an early-stage startup? 3 → Should I even be running paid ads at this stage? 2 →
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