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Built a wrist-based training assistant with Codex to log fitness routines in preparation for the Paralympic Games

#BaoJi developed a wrist-mounted recording assistant using Codex. The smartwatch records audio, which is uploaded to a server, parsed by AI, and converted into text files with brief summaries. These are archived and pushed to BaoJi in real time.

Summary

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#BaoJi developed a wrist-mounted recording assistant using Codex. The smartwatch records audio, which is uploaded to a server, parsed by AI, and converted into text files with brief summaries. These are archived and pushed to BaoJi's WeChat official account in real time. I haven't used Feishu's Audio Bean, but I suspect it functions similarly. This assistant is planned for: 1. Recording daily conversations with my fitness coach, noting equipment and sets used for later AI analysis. 2. Recording conversations where I might make mistakes, so AI can provide feedback for improvement. Preparing for the 2100 Summer Olympics 🏋️🏌️

Our Take

Three things to consider about this case

Why it matters
First, run a small, verifiable task, recording the outcome, manual modifications, and maintenance effort.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Independent developers and those needing to improve workflows
What to try first
Select a small task with clear boundaries and create a minimum viable version that can be handed over for others to try.
What to measure
Record task completion rate, number of manual corrections, and whether users reuse the service.
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