I'd like to suggest an idea; put the release threads into an AI like for example Google Gemini (with its large token size).
The goal here is to streamline the tracking of user reports, resolution statuses, and to identify any recurring issues or patterns, both across different firmware versions and within specific ones. A prompt could be built to perform this optimally.
This concept struck me while engaging in various release-threads. By feeding the threads' data into an AI, we could potentially achieve a more organized and efficient way of managing user feedback. This could include correlating user reports, tracking issue resolutions, and even suggesting follow-up questions for users experiencing problems, all across pages, threads... you get the idea.
The prospect of applying this to the entire Merlin subforum is particularly intriguing. Imagine the patterns and insights we could uncover, all leading to a more streamlined approach to bug and firmware issue tracking. This could be especially useful given the AI's capability to analyze vast amounts of data and identify connections that might not be immediately obvious.
Starting with the release threads seems like a practical first step. If @RMerlin has access to the forum's database, it could facilitate the creation of a structured document that's ready for AI analysis.
The goal here is to streamline the tracking of user reports, resolution statuses, and to identify any recurring issues or patterns, both across different firmware versions and within specific ones. A prompt could be built to perform this optimally.
This concept struck me while engaging in various release-threads. By feeding the threads' data into an AI, we could potentially achieve a more organized and efficient way of managing user feedback. This could include correlating user reports, tracking issue resolutions, and even suggesting follow-up questions for users experiencing problems, all across pages, threads... you get the idea.
The prospect of applying this to the entire Merlin subforum is particularly intriguing. Imagine the patterns and insights we could uncover, all leading to a more streamlined approach to bug and firmware issue tracking. This could be especially useful given the AI's capability to analyze vast amounts of data and identify connections that might not be immediately obvious.
Starting with the release threads seems like a practical first step. If @RMerlin has access to the forum's database, it could facilitate the creation of a structured document that's ready for AI analysis.