MemCast
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Source attribution is critical for validating AI-generated data.
  • Inline references allow users to verify information
  • Reduces hallucination risks by showing provenance
  • Builds trust through transparency in data sourcing
HostY Combinator00:17:08

Supporting quotes

by having a source closely attached that you can just you know Click on each of these right here you can see immediately where the sources came from it helps us to be able to validate and Trust the data that the AI agent is bringing back Host
it's also interesting you know you mentioned before about how um you know we always had flowcharts and these are like modern flowcharts with the canvases and it's interesting too that you know a lot of the citing sources in the footnotes is not a new thing that's been around since the beginning of books but now it's actually being used in a new way to actually validate and verify information in real time that an agent brings back which is really cool Rafael Shad

From this concept

Data Extraction & Trust

Structured data outputs from AI agents require clear source attribution and transparency to build user trust, especially when handling sensitive or critical information.

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