Re:Show HN: Brewly – AI newsletter creator for any topics yo...
by mwyan on Wednesday March 27, 2024 @04:28PM
(#39844202)
Sorry guys I screwed up the post format in the original post on how Brewly works! reposting here in comment:
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For a given topic, the agent browses the Internet with self-generated keywords based on the chat with you, and checks if any result page is a high-quality article to be added into your newsletter using the following factors:
• It finds and summarizes the author information based on LinkedIn and other sources to judge if the authors are credible. For example, an author with the bio “PhD in ECE from Duke University, Principle Researcher at Microsoft Research, Focuses on large-scale pre-training of deep neural networks” is considered credible on the topic “Multimodal LLMs”.
• It checks if the article is from a well-known source such as TechCrunch, Forbes and OpenAI blogs. It also prioritizes articles from official sources.
• It evaluates the relevance level of the content to your topic.
• It checks how well the article content meets your instructions.
• It filters out clickbait articles including flashy titles, promotional contents, poor technical details on a technical subject, etc.
• It prioritizes articles that are well structured and have no misspells.
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If you have any ideas or tricks on how you filter good content yourself, let us know and we'd love to add them to our agent!
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For a given topic, the agent browses the Internet with self-generated keywords based on the chat with you, and checks if any result page is a high-quality article to be added into your newsletter using the following factors:
• It finds and summarizes the author information based on LinkedIn and other sources to judge if the authors are credible. For example, an author with the bio “PhD in ECE from Duke University, Principle Researcher at Microsoft Research, Focuses on large-scale pre-training of deep neural networks” is considered credible on the topic “Multimodal LLMs”.
• It checks if the article is from a well-known source such as TechCrunch, Forbes and OpenAI blogs. It also prioritizes articles from official sources.
• It evaluates the relevance level of the content to your topic.
• It checks how well the article content meets your instructions.
• It filters out clickbait articles including flashy titles, promotional contents, poor technical details on a technical subject, etc.
• It prioritizes articles that are well structured and have no misspells.
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If you have any ideas or tricks on how you filter good content yourself, let us know and we'd love to add them to our agent!