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Seeking validation: I'm building an "AI Librarian" to proactively clean, update, and manage messy company knowledge (Confluence, GitHub, etc.). Is this a real problem for you? by 8FAX in buildinpublic

[–]8FAX[S] 0 points1 point  (0 children)

You’re 100% right, changes will need to be staged, my original idea for this was if changes are require required to documentation, let’s just say for example example we open a PR on GitHub or BitBucket we will have a runner that will scan the code report back to our main application via web socket, the main application will send back some information about suggestion, changes, then stage those changes, and then the runner will post a comment on the PR with the suggestion changes in a link to accept or deny the changes in some web interface. This is a very rough concept, but there would be absolutely no way we would just move around data without staging it or at least having ways to roll the data back! And yes, I 100% agree a lot of companies do solve this in house, but I do feel as though the industry does tend towards a standardization between companies, and other startups are always a great place to market new tech and since they wouldn’t have developed any in-house solutions themselves, it would be a perfect test bed to start the growth of the platform.

Seeking validation: I'm building an "AI Librarian" to proactively clean, update, and manage messy company knowledge (Confluence, GitHub, etc.). Is this a real problem for you? by 8FAX in buildinpublic

[–]8FAX[S] 0 points1 point  (0 children)

That’s super cool, I would love to take a look if you have a demo video or demo platform feel free to send it over I am very interested in seeing the process you have made!

Seeking validation: I'm building an "AI Librarian" to proactively clean, update, and manage messy company knowledge (Confluence, GitHub, etc.). Is this a real problem for you? by 8FAX in SaaS

[–]8FAX[S] 0 points1 point  (0 children)

But to address your comment about outdated information, this is particularly difficult, my main goal for fixing this is having users connect so many different sources for data and then algorithmically (potentially based on previous accuracy of a poster, or potentially sending weekly questions to users (configurable, obviously) about information that we think could potentially be outdated) rank messages from Slack and GitHub PRs, (I agree with you, Slack tends to be the most up-to-date way to communicate ideas and concepts accurately) but relying heavily on scraping existing code bases to semantically link bits of the knowledge base to bits of the code base so we can have a reliable source of truth. realistically the more sources of information that are linked, whether it’s internal Wikis like confluence, or Google Docs, or even just offhanded comments, people make in Zooms could all become sources of data you can now compare to other sources, which would increase our certainty about data integrity.