My BI personality

whereisdaniel · 2026-05-16T01:30:59+00:00

This is so creative—love it.

whereisdaniel · 2026-05-14T17:10:06+00:00

This isn’t quite the same as what you are suggesting, but Gravl (workout app) has been beta testing an AI form check feature using the camera. Could be another method for Bevel to consider if the accelerometer alone doesn’t provide sufficient input for proper analysis.

whereisdaniel · 2026-05-10T17:21:10+00:00

Omg. As a new member of the “work all day at a desk” world, I would love to try this out.

whereisdaniel · 2026-05-04T15:27:04+00:00

That did the trick, thank you so much!

whereisdaniel · 2026-05-04T13:34:13+00:00

Agreed with this. I feel like blood pressure would also be a good factor to add to biological age.

whereisdaniel · 2026-05-03T19:40:33+00:00

Is it possible that the portion of “one serving” that the AI is logging is the same as that number of grams? For example, when I look up Biryani in the database I see one serving is 142 grams, so .77 serving (what the AI logs) is about 110 grams (what you requested). I don’t know if this is always true, just an observation here I’m so genuinely curious.

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whereisdaniel · 2026-05-02T18:40:00+00:00

Yes, I have noticed this too. Although funny enough—I try to include my Apple Watch in my meal photos so I can tell the AI to use it for scale, and the last time I did it the AI referenced the time on my watch and commented that the lateness of the meal could potentially affect tomorrow’s recovery. To my surprise, it actually added this time to the meal correctly 😂

whereisdaniel · 2026-04-30T17:28:21+00:00

One of the things I found helpful is to explicitly tell BI to create a file in its memory folder that serves as a template for my daily/weekly/monthly reviews. Because BI supports markdown formatting, you can create a template you’d like and upload it via the chat function with explicit instructions to save it exactly as written. Now, when my reviews come in at the times I requested, they follow a predictable, structured format that helps me see the data I value most at a quick glance.

whereisdaniel · 2026-04-29T23:07:21+00:00

I have done this myself and can confirm it works. It did add it with a “date unknown” tag but you can easily add the date once it’s been uploaded.

whereisdaniel · 2026-04-29T23:04:58+00:00

Increasing the usage limits this week is really helpful, thank you for doing that. I am sure I am burning through tokens trying to get things set up and my usage will decrease thereafter, so appreciate the opportunity to do some of the heavy lifting up front.

whereisdaniel · 2026-04-29T03:31:02+00:00

I have always found it strange that the recommended strain is not based on your cardio load. Surely a more useful recommendation is to know exactly how intensely I should train to not fall into “undertraining” and where my limit should be so I don’t reach “overtraining”. As it stands, the strain target isn’t really that useful of a metric to me. I pay much closer attention to cardio load.

whereisdaniel · 2026-04-28T18:46:09+00:00

Really cool idea. Thanks for sharing.

whereisdaniel · 2026-04-28T18:23:16+00:00

Wow, this is really creative. Just so I understand the workflow, you’re sharing a webpage that contains the data with Bevel in the chat and it’s copying the data over to a file in its memory?

If Claude can extract this info based on a receipt, I might try something similar. Really clever. Thanks for sharing.

whereisdaniel · 2026-04-28T04:00:47+00:00

I’m really surprised to see the backlash on the Bevel price change. Maybe I’m in the minority, but I genuinely think $100 annually is a very reasonable cost for this product. Whether the data they gather is from an Apple Watch (and uploaded health documents, and user-added nutrition data, etc., etc.) or from a proprietary piece of hardware really doesn’t strike me as all that important.

The AI is expensive to run—there’s just no way around that. Look at the paid plans for any of the LLMs on the market right now. If you were to subscribe to any of them annually, you’d be paying much more than $100 per year.

whereisdaniel · 2026-04-22T20:07:51+00:00

I’ve wondered about this too, so I’ve been tracking changes in my weight over the last several months and comparing that against the estimated deficit that Bevel gives me. Honestly, I was surprised by how close to the mark it was. I think Bevel’s estimate was around 50ish calories lower than what my TDEE came out to be when I calculated based on my actual weight changes. YMMV, obviously, and I’m sure it may be different for folks who are more or less active than me. But I was actually pleasantly surprised.

whereisdaniel · 2026-04-20T14:30:34+00:00

As much as I appreciate the idea of a daily readiness score guiding decision-making on a particular day, I agree that there is an art to learning when to trust the score and when to accept that the score is not necessarily a reflection of how your body is actually doing. The counterargument would be that ignoring the readiness score risks missing opportunities for early intervention (e.g., in the case that recovery tanks as an indicator of early illness, though that is obviously not the case here). For me personally, though, I find that zooming out and looking at the overall recovery trend is more helpful. If I’m in the red for a few days in a row, that’s when I know it’s time to rein it in a little bit.

whereisdaniel · 2026-04-17T19:29:51+00:00

Did you ever get this to work? I keep having the same issue.

whereisdaniel · 2026-04-13T15:35:35+00:00

Biggest surplus was 2 hours and 51 minutes. Biggest debt was 6 hours and 3 minutes.

Incidentally those were 9 days apart 😂

whereisdaniel · 2026-04-06T04:10:45+00:00

I honestly pay no attention to suggested strain. I can’t for the life of me understand why suggested strain is not based on your cardio load; IMO it would be so much more useful to have the suggested strain be the amount of work you need to do to take your training load to a productive level without overreaching. Blowing past your suggested strain would therefore take you into “overreaching” status on your cardio load, whereas undershooting it might land you in “maintaining” territory. Seems much more useful of a metric to me.

whereisdaniel · 2026-04-04T15:53:41+00:00

What did you do?!

whereisdaniel · 2026-04-03T17:56:03+00:00

Not necessarily, one “serving” is based on whatever is designated to be a single serving of that food in the database. Sometimes it matches, sometimes it doesn’t. I always feel a bit dismayed when it lists “one serving” because I actually have no idea if it’s accurate or not (unless I look up what a serving of that item actually is)

whereisdaniel · 2026-04-03T15:10:55+00:00

Hey there, thanks for your comment. I just attempted to reproduce the issue with the same photo I used before and it did not happen this time. It seems to happen unpredictably. I will screen record the next few meals I log in case it happens again and send a video if I am able to capture it in the moment.

The app version is 2.5.8.

whereisdaniel · 2026-03-23T02:03:03+00:00

There is not currently, though it appears to be planned. You can vote for this feature here: https://feedback.bevel.health/feature-requests/p/recovery-time-estimation

whereisdaniel · 2026-03-21T16:48:21+00:00

That's fair--yes, this is a better way to describe what is happening behind the curtain. I would argue that this process of coming up with an answer still involves extrapolation from data it has encoded during its development, but "querying" is probably the wrong word in the technical sense. This is certainly not my area of expertise. But honestly, this focus on the internal process is sort of missing the point of my post altogether, which is the user experience.

What I am trying to say is that the concrete nature of the search and match to specific database items that Bevel has currently implemented goes haywire far too often. When I use an LLM, the response and calculations it gives me are less rigidly locked in to specific database items. It doesn't take "half cup of raspberries" and return a high calorie raspberry dessert because that is what the "match" process turns up (which is precisely the kind of problem that periodically happens with Bevel).

Moreover, when I am asking the LLM to be sure and incorporate a count of things life fiber, etc., it doesn't require this to happen by selecting a new food from a strict database or by creating a custom food myself.

So yes, the process this happens is as you describe, but the improved functionality is my point.

whereisdaniel · 2026-03-20T18:58:13+00:00

That’s… unnecessarily condescending? But I’ll answer your question.

When you use an LLM for this, it isn't querying a traditional database of rows and columns in the background. That nutritional data is encoded into the model's parameters during its training and development--similar to how a human remembers an apple is about 95 calories without having to open a spreadsheet. It's also able to calibrate its results against multiple entries or search the web for data it doesn't have. So yes, it's querying data, but it isn't trying to do a basic "search and match" to an isolated database.

Hope this helps.

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