Check a proposed purchase against known rules without ordering
Makes a documented preflight checklist for procurement approval.
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New: prompts for messy reality
Turn claims, files, screenshots and risky offers into answers you can inspect. These prompts show what AI can and cannot verify.
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These short prompts work in a chat you already use. For personal questions, the AI should say what it actually knows, not pretend it can see your whole life.
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Makes a documented preflight checklist for procurement approval.
Orders logs and notes by time while preserving source and clock uncertainty.
Flags high-risk language choices before any multilingual notice is sent.
Turns observations into dated records and triage questions for a tradesperson.
Collects logistical facts while leaving publication and outreach to people.
Finds broken or changed evidence links and proposes source-aware repairs.
Tracks received request, scope and proof without making a legal response.
Produces evidence for a human to confirm a fix across relevant states.
Groups likely duplicate files without deleting or merging originals.
Extracts requirements and dates with source links and freshness checks.
Finds unsupported owners and deadlines in draft meeting notes.
Compares counts and usage to thresholds while preserving purchasing authority.
Builds a reviewable renewal watchlist without legal conclusions or cancellations.
Plans travel and preparation time around existing events as proposals only.
Defines a bounded extraction agent with duplicate and uncertainty checks.
Audits a draft spoken warning for action, timing and ambiguity.
Provides timing, entrances and breathing prompts without copying a recording.
Creates short, non-identifying updates for people waiting in line.
Separates audible changes from unsupported mechanical diagnosis.
Provides a recording introduction, participant choices and pause language.
Structures a concise forecast script without inventing current conditions.
Produces short facilitator audio cues with timing and accessibility alternatives.
Designs a descriptive object stop with context, shape and uncertainty.
Creates a short call-and-response practice track with review points.
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