Example: (WomenFarmingClimate)
This is a generalized social-cultural-environmental domain focused example.
Selected Text Prompt - From World Bank Article
1 - User selects text (select-right-click) to use it as a prompt without leaving the page . . .
Women are experiencing increased responsibilities and workloads, especially in situations where there are climate driven outmigration of men and young people. For example, workloads increased for women in rainfed farming households in Maharashtra, India, due to fluctuating crop yields and longer distances to travel for fuel, fodder and water for their livestock. Women may also be hesitant to adopt new adaptive practices in agriculture out of concern that their workload might increase.
Ensuring equitable access to technologies that reduce women’s burden and increase their productivity is essential, and in some cases can lead to increased diversity of crops, improving household nutrition. . . . or enters text or image directly into Owl.
2 - Owl queries LLMs and refines information using natural language processing and graph neural network . . .
. . . and structures it according to a social-culture-environment schema.
3 - Then Owl outputs a link and/or media with an Owl watermark.
Climate Media - Media Owl creates has a network of knowledge embedded in it. Climate media can be shared, collected and used as prompts for further research, discovery, learning and outreach.
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