ITitishappy·Nov 11, 2024
Here's the punchline from the Product Brainstorming example, imagining new AI-driven features to add to Microsoft Word:
> AI-driven context-aware assistant. Suggests writing styles or tones based on the document's purpose and user's past preferences, adapting to industry-specific jargon.
> Smart template system. Learns from user's editing patterns to offer real-time suggestions for document structure and content.
> Automatic formatting and structuring for documents. Learns from previous documents to suggest efficient layouts and ensure compliance with standards like architectural specifications.
> Medical checker AI. Ensures compliance with healthcare regulations and checks for medical accuracy, such as verifying drug dosages and interactions.
> AI for building codes and compliance checks. Flags potential issues and ensures document accur
Read the rest
acy and confidentiality, particularly useful for architects.
> Design checker AI for sustainable architecture. Includes a database of materials for sustainable and cost-effective architecture choices.
Right, so what's missing in Word is an AI generated medical compliance check that tracks drug interactions for you and an AI architectural compliance and confidentiality... thing. Of course these are all followed by a note that says "drawbacks: None." Also, the penultimate line generated 7 examples but cut the output off at 6.
The intermediate output isn't much better, generally restating the same thing over and over and appending "in medicine" or "in architecture." They quickly drop any context this discussion relates to word processors in favor of discussing how a generic industrial AI could help them. (Drug interactions in Word, my word.)
Worth noting this is a Microsoft product generating ideas for a different Microsoft product. I hope they vetted this within their org.
As a proof of concept, this looks interesting! As a potentially useful business insight tool this seems far out. I suppose this might explain some of Microsoft's recent product decisions...
https://github.com/microsoft/TinyTroupe/blob/main/examples/p...