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New Python engine tackles Excel automation failures in AI workflows

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Developers report that traditional Excel automation libraries frequently fail when integrated with autonomous AI agents. These failures occur because human interaction with a spreadsheet can lock the COM interface, causing agent crashes. Standard libraries also create data representations that consume excessive AI context windows, raising costs and latency. To address this, a new open-source engine uses a dual-core system that automatically switches between live and headless modes.

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