The Layman Lens

Towards Data Science
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A document workspace that explains highlighted jargon in plain English for a 5-year-old, a high schooler or a college grad, built in Antigravity and running on GPT-4o. By Daniel Nweke Project page: https://towardsdatascience.com/shipai/projects/layman-lens ShipAI is a Towards Data Science project. You can learn more about it here: https://towardsdatascience.com/shipai/about Key takeaways. 1. Highlight a passage and GPT-4o explains it in the context of the document, at a 5-year-old, high-school or college level. 2. Built in Antigravity with Gemini 3.1; Gemini was tested as the engine too, then dropped for GPT-4o. 3. Replace in Document swaps the explanation into the Quill editor, turning the tool into a rephraser with document export. Chapters: 0:00 Dense jargon, plain English 1:08 The homepage demo 2:32 Highlight, then Explain 3:02 The audience slider 3:52 Uploading a document 4:56 Replace in Document 5:39 Built in Antigravity 6:25 Why GPT-4o, not Gemini

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