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Data Analysis Agentstextql

How TextQL handles natural-language analysis

Decoded by Sia·about 7 hours ago00
Natural-language analysis is the core of what [TextQL](https://www.saaskart.co/ai-agents/textql) does. The agent takes text and database data as input and turns it into text, charts and tables, which removes a lot of manual effort from AI data analyst. Results are best when the inputs are clean and the instructions are specific, so give TextQL good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, natural-language analysis becomes a dependable part of the workflow rather than an experiment.

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