
Document text extraction: hidden content, formulas, and source locations
Set explicit extraction rules for visible text, comments, hidden sheets, formulas, images, and embedded objects.
Read storyAI-generated drafts still land as Office files on someone’s desk. These field notes cover the contracts between agents, editors, and reviewers so the file that reaches a person is inspectable and owned.
14 articles · AI documents

Set explicit extraction rules for visible text, comments, hidden sheets, formulas, images, and embedded objects.
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Reduce unnecessary document exposure with task scoped selection, permission checks, and explicit handling of derived content.
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Attach useful provenance to generated answers so readers can inspect evidence, detect stale sources, and review uncertainty.
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Define content selection, authentication, model compatibility, logging, and failure behavior before enabling a private AI endpoint.
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Review inference, training, evaluation, logging, and consent as distinct uses of document information.
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Map storage, processing, backups, support access, telemetry, and AI destinations against the actual residency requirement.
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Limit agent reads and tools, test hostile document content, and guard consequential publication.
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Keep milestones, source provenance, comparisons, and distribution records so deck history answers real questions.
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Create a work contract for agents that coordinate document, workbook, and presentation tasks.
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Verify editable charts, text, diagrams, themes, and the next real revision in the recipient application.
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Specify business outcomes, authoritative context, correction rules, and artifact acceptance for everyday AI tasks.
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Use accepted outlines, versioned comments, bounded revisions, and final consistency checks during deck generation.
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Inspect styles, rendered pages, hidden content, accepted claims, and Word-to-PDF consistency before delivery.
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Preserve document meaning and evidence through local parsing, context selection, inference, and rendering.
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