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SvGrid already does a fair bit with AI - natural-language filtering, smart fill, row summaries. The step I keep coming back to is generation: describe the column you want ("a status pill that turns red when overdue") and have it scaffolded, or sketch a grid from a plain-English spec plus a sample of your data.
I'd keep it the same model-agnostic shape as the rest of the AI pack - you bring the provider, the grid builds the prompt and applies the result - just pointed at authoring instead of querying.
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SvGrid already does a fair bit with AI - natural-language filtering, smart fill, row summaries. The step I keep coming back to is generation: describe the column you want ("a status pill that turns red when overdue") and have it scaffolded, or sketch a grid from a plain-English spec plus a sample of your data.
I'd keep it the same model-agnostic shape as the rest of the AI pack - you bring the provider, the grid builds the prompt and applies the result - just pointed at authoring instead of querying.
On the roadmap now: https://svgrid.com/roadmap
What would you want to generate first - columns, formatters, a whole grid? And where would you draw the line between genuinely helpful and too magic?
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