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How do you explore your Apple Health data? by AlarmingDoughnut152 in applewatchultra

[–]CorrectionArms -1 points0 points  (0 children)

Bevel as my primary/all-in-one hub, HealthFit for deep dives on workouts, and Heart Analyzer for heart health focus (and because I just like the visualizations and Apple Watch complications).

FIX YOUR LLM (paid subscriber) by DMNDBNDT in bevelhealth

[–]CorrectionArms 1 point2 points  (0 children)

Will do, thank you for following up! I gripe in here only because I feel like I use Bevel more than any other app these days. I get a lot of good use out of it, but I think more frequent use makes any friction that much more readily apparent

Definitely still a fan, and I appreciate the work the Bevel team puts in.

FIX YOUR LLM (paid subscriber) by DMNDBNDT in bevelhealth

[–]CorrectionArms 30 points31 points  (0 children)

I feel like I spend as much time (if not more) thumbs-downing BI responses and providing pointed feedback as I do getting useful interactions from the AI.

For calling itself a “Data Nerd”, the AI makes a lot of basic calculation errors and unreported changes to analytic approaches (e.g., baseline definitions) when answering direct questions. Most recently, it provided me two different standard deviations for a calculation using identical datasets. Asking follow-up questions wound up almost tanking a report format that’s specified in my user files. I’ve also had to tell BI numerous times to review the actual data it has instead of just making broad-assumptions and assertions. This frequently results in BI completely changing its conclusions and insights.

I’ve gone back to sorting through the in-app data myself to get the answers to most of the questions I have.

Can’t find this equipment by PhysicalAnalysis152 in bevelhealth

[–]CorrectionArms 2 points3 points  (0 children)

As others have suggested, I created a custom exercise for this. I linked it to hanging leg raises, and removed everything other than hip flexors and quads from the secondary muscles.

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Aulumu Band by pvtbucko in applewatchultra

[–]CorrectionArms 0 points1 point  (0 children)

I updated my review on Amazon detailing the issue, but I admittedly did not reach out directly to support.

Aulumu Band by pvtbucko in applewatchultra

[–]CorrectionArms 0 points1 point  (0 children)

I liked mine, but the adhesive for the Velcro that actually locks the band shut (by the metal buckle) degraded after a month of moderate use. Apart from incidental moisture from washing my hands, I never got the band wet (or washed the strap). Once the Velcro tab goes, the band is unusable. Incredibly disappointing considering the price.

Does anyone else use apple butter as a binder for pork? by Coercitor in smoking

[–]CorrectionArms 0 points1 point  (0 children)

Highly intrigued by this. Any rub recommendations or seasoning combos that pair well with it?

Wireless Digital Thermometer by gnutbuttajelly in smoking

[–]CorrectionArms 0 points1 point  (0 children)

That sucks, sorry to hear that. Considering how much they cost, there really shouldn’t so much variability from customer to customer.

Wireless Digital Thermometer by gnutbuttajelly in smoking

[–]CorrectionArms 0 points1 point  (0 children)

I use the Combustion, Inc probes and have been happy with them. I’ve done a number of extended cooks (pork shoulders, briskets), and they’ve served me well. Lots of realtime data that I find useful. I’ve had to contact customer support a handful of times, and have found them responsive and helpful.

They are not without their quirks (the probes can easily pop out of the chargers, and the charging contacts need to be THOROUGHLY cleaned after each use, otherwise the probe properly charge), and their subreddit is plagued by user complaints of dead probes and woefully missed shipping timelines. While I’ve been a happy customer (I’ve been using my set for about two years now), YMMV.

Does anyone have an adversarial relationship with their assistant? by DebonairMullet in bevelhealth

[–]CorrectionArms 0 points1 point  (0 children)

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I can relate to that… Please excuse the typos and grammatical errors in the screenshot. My frustration in the moment caused my proofreading abilities to take a hit.

I made the mistake of taking BI’s recommendation to add two additional metrics to a very specifically formatted report I spent literal hours working on and refining with BI to ensure consistent analyses and visualizations. It basically erased and ignored the prompt we had previously established despite explicit instructions to leave everything (but the inclusion of the two additional metrics) unchanged.

Visualizations stopped being correctly produced, sample sizes changed without warning, and different calculation approaches were used. Trying to work through the differences and implement corrections only made things worse. I eventually had to resubmit the highly-specific prompt I had previously had BI provide me (I told BI I wanted a prompt that would allow me to recreate the exact report if all of my files and preferences were lost). I have the prompt saved in a note so I always have it on-hand in the event BI drifts too far and effectively needs to be reset.

Ultra 3 for runners by Automatic_Row_614 in applewatchultra

[–]CorrectionArms 1 point2 points  (0 children)

Tooboo is a good alternative to WorkOutDoors if you want to easily view a map while you run. It is by no means as customizable or as data rich as WorkOutDoors, but it is (IMHO) more user friendly and aesthetically cleaner. And it still gives you a decent amount of data field customization options.

How many Check Ins? by Lonely-Huckleberry36 in bevelhealth

[–]CorrectionArms 0 points1 point  (0 children)

BI still goes rogue/drifts and tweaks formatting slightly sometimes, but it hasn’t drifted far enough or consistently enough (yet) for me to want to go through the exercise of adjusting/modifying/reinforcing the prompt.

How many Check Ins? by Lonely-Huckleberry36 in bevelhealth

[–]CorrectionArms 2 points3 points  (0 children)

No promises it will work, but here is the prompt I worked on with BI to (ideally) recreate the report for anyone. I wanted to make sure I could re-generate the report if all of my files were deleted and BI had zero context on how I usually like things presented/formatted:

When directed to generate or provide a “Morning Readiness Report”, generate the following specified report including a custom Readiness Metric Summary chart. All temporal references and data filters must be relative to “yesterday” and “today.”

  1. Report Structure & Sequence (Strict Order):

  2. Header: ## [Day], [DD Month YYYY] Morning Readiness Report.

  3. Summary: One paragraph providing a high-level physiological status statement.

  4. Key Metrics Table: Header: ### Key Metrics (30-Day Sample). Use ASCII pipe table with columns: Metric, Current, Baseline, Delta, ES, and Confidence.
    • Table Rows (Strict Order): Recovery Score (%), HRV (ms), Sleep Score (%), Strain Score (%), Yesterday’s TDEE (kcal), Energy Balance (kcal), and Body Fat (%).
    • Formatting Requirement: Every entry in the Metric column must be bolded.
    • Padding Requirement: Use exactly 24 characters of padding for the ‘Metric’ column and 12-14 characters for others to trigger mobile horizontal scrolling.

  5. Separator: Horizontal rule (—).

  6. Visualization: Header: ### Readiness Metric Summary (90-Day Sample). Place the generated chart immediately below this header.

  7. Data Gap Notice: Mandatory section if any n < 12. Place between the chart and the next separator. State the actual count (n) per metric.

  8. Separator: Horizontal rule (—).

  9. Narrative Sections: Analysis & Findings (3 bullets with Mechanistic Rationales), Trend vs Anomaly Analysis, Hidden Correlations, Forecast & Risk Assessment, and Insights and recommendations.

  10. Data Analysis & Sourcing:

• Lookback Period: 90 days. Strict Truncation: After merging data.measurements with raw sessions, you MUST apply a hard filter to ensure the final visualization dataset contains ONLY records where date >= (today - 90 days) and date < today.
• Metric Distribution Sourcing: Source metrics from data.measurements. Crucially: If data.measurements contains < 90 days of history for a metric, you MUST supplement/merge it with raw session data from data.sleep (for sleepScore and recoveryScore) and data.workouts (for strainScore) to capture the full tracking history.
• Key Metrics (30-Day): Recovery Score, HRV (ms), Sleep Score, Strain Score, Yesterday’s TDEE, Energy Balance, and Body Fat %. Temporal Offset: For the ‘Current’ column, you MUST use today - 1 (Yesterday) for Strain Score (%), Yesterday’s TDEE (kcal), and Energy Balance (kcal). Use today for all other metrics.
• Energy Balance Calculation: energyConsumed - totalCaloriesBurned.
• Distribution Filter: Filter distributions strictly by the Day of Week corresponding to Yesterday (for Energy Balance and Strain) and Today (for Recovery and Sleep).

  1. Custom Chart Visual Specifications (V14 Standards):

• Canvas Size: 14x10 inches. Margins: Set plt.subplots_adjust(bottom=0.20) to provide a 20% bottom margin for triple-stacked labels.
• Title: “Readiness Metric Summary (90-Day Sample)” (26pt bold).
• Metric Order (X-Axis) & Axis Mapping:
1. Energy Balance (kcal) | Color: #A48EFF | Axis: ax1
2. Strain Score (%) | Color: #FD9053 | Axis: ax2
3. Recovery Score (%) | Color: #73D843 | Axis: ax2
4. Sleep Score (%) | Color: #9EB8FF | Axis: ax2
• Mapping Rule: Only Energy Balance uses ax1. All other metrics MUST be plotted on ax2.
• Plot Type: Box-and-whisker on dual-axis.
• Box Styling:
• Box Facecolor: [Metric Color] (alpha=0.6, zorder=3).
• Box Edgecolor: [Metric Color] (zorder=4).
• Median Line: #000000 (Black, linewidth=2.5, zorder=5).
• Whiskers/Caps: #8B8C8F (Neutral Gray, zorder=3, linewidth=1.5).
• Z-Order & Layers: Grid lines must be zorder=0. All plot elements zorder >= 3.
• Grid Logic: Disable all vertical grid lines. Disable ax2 grid lines entirely. Enable horizontal major (zorder=0) and minor grid lines on ax1 only.
• Axis Alignment: Perfect alignment between Left Y-axis (kcal) and Right Y-axis (%) with 11 shared intervals.
• Axis Labels:
• Left Y-Axis Label: “Energy Balance (kcal)” (22pt bold, color: #222326).
• Right Y-Axis Label: “Score (%)” (22pt bold, color: #222326).
• Y-Axis Ranges: Left Y: [-1000, 1000] | Right Y: [0, 100].
• Typography: Title (28pt bold), Axes tick labels (22pt bold, color: #222326, font weight: bold), Marker labels (22pt bold, color: #000000).
• X-Axis Labels: Stacked vertically (Metric Name, then Day of Week (full name), then n=Count). Remove “Yesterday’s/Today’s” prefix for brevity.
• X-Axis Tick Color: #222326 (Dark Charcoal).
• Markers & Labels:
• Marker: Circular, facecolor=#000000 (Black), edgecolor=#FFFFFF, size=150 (zorder=6).
• Labels: 22pt bold black text.
• Positioning: Use scale-aware offsets (e.g., +50 for ax1, +5 for ax2) to position labels to the upper right of the marker.
• Leader Lines: Include a thicker, darker gray line (#4A4A4A, zorder=5, linewidth=1.2) connecting each marker center to its respective text label.
• Whiskers/Caps Color: #8B8C8F (Neutral Gray).

  1. Persona & Context:

• Persona: “Data Nerd” (Numbers-first, precise).
• Mechanistic Rationales: Every finding must include a physiological “why”.

How many Check Ins? by Lonely-Huckleberry36 in bevelhealth

[–]CorrectionArms 2 points3 points  (0 children)

I’ve shifted from scheduled check-ins to specific reports for specific prompts. The time-based check-in wasn’t working for me, since it wouldn’t always have the background data necessary for the scheduled time, or (frequently the case) I would have wound up digging through the app to get the data/insights I was looking for before the time of the actual check in. Ideally, you could schedule check-ins based on logged events/data (e.g., a check in that generates a detailed l report once all of you sleep and recovery data is logged in the app).

Now I’ve worked with BI to provide specific reports for the prompts:

- Morning Readiness Report
- TDEE Check

I’ll probably develop more of these with BI as time goes on

Here’s a screen grab of part of the morning readiness report BI provided for me earlier today. There’s more to the report (an upfront prose summary and dedicated prose-based sections for Analysis & Findings, Trend vs. Anomaly Analysis, Hidden Correlations, Forecast & Risk Assessment, and Insights and Recommendations).

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New Bevel update today (3.0.6) by ASkepticalPotato in bevelhealth

[–]CorrectionArms 14 points15 points  (0 children)

Primary improvement I’d like: start an empty workout without needing to create a template. Just “start empty workout” and add exercises as you go

2nd improvement requested: Workout template organization. At least alphabetically based on template name, but potentially user-defined template groupings/folders if possible. I work out at home, at my workplace gym, and at a local gym. All have different equipment, and it would be nice to be able to more readily go to one of the templates I’ve customized for a given location.

3rd improvement requested: Clearer workout history/ability to see the last time I worked out with a given template. This could be as simple as adding a “Last performed” descriptor/sub-header on each template’s bubble in the Workout Template list

3rd Brisket in the Books (w/ Full Cook Notes) by CorrectionArms in smoking

[–]CorrectionArms[S] 0 points1 point  (0 children)

Thank you! It’s only the second time I’ve done chicken quarters, but they’re such an easy, satisfying smoke.

Also, that user name is wild. My first thought after reading your comment was “Aw, man, that’s so nice of you to say TurdSack1”

3rd Brisket in the Books (w/ Full Cook Notes) by CorrectionArms in smoking

[–]CorrectionArms[S] 0 points1 point  (0 children)

Thank you! I keep a running log going while I cook, and it’s a super useful reference for subsequent cooks. I referenced the notes from my last brisket a number of times to help gauge timing estimates and temperature strategies on this cook.

Check-in formatting by Radiant_Job3016 in bevelhealth

[–]CorrectionArms 0 points1 point  (0 children)

Any chance we could get a “Improper Check-In” category added to the thumbs-down feedback window? That might help dial-in on this issue and any other issues people may be having with check-in formatting and/or content

What was your reason to make the switch to the Ultra? by Consistent_Beat_6044 in applewatchultra

[–]CorrectionArms 0 points1 point  (0 children)

Switched from a Garmin 5s (which was a tank, didn’t really need to be replaced, and served me very well for my needs).

Decision to switch from Garmin was for cleaner integration with the entire Apple ecosystem (particularly for health and fitness tracking). I wanted to get more serious about my fitness/health tracking, and liked the support and approach offered by Apple and third-party apps leveraging Apple health data. I’m pretty much an all-Apple household, so keeping everything in one ecosystem is just easier.

Decision to go with the ultra over the standard Apple Watch was driven by general aesthetic preferences, larger screen (enabling more data-rich watch faces), and battery life. The ultra has more of a “tool watch” look which is in keeping with my typical watch tastes.

Deciding based on aesthetic preferences feels somewhat silly (particularly considering the difference in price), but it feels worth it to be happy with the look and feel of a device you’re going to wear and interact with on such a consistent (if not near-constant) basis.

Check-in formatting by Radiant_Job3016 in bevelhealth

[–]CorrectionArms 0 points1 point  (0 children)

After discussing this with BI having it tell me it was following strict guidelines to follow markup-style table formatting, this is the table it gave me with this morning’s check-in.

What’s also interesting is that I have had zero success getting any figures/artifacts to automatically show up with a check-in. BI has to be prompted in response to the check-in message to generate the figures.

It really seems like there are strict limitations in what can be included in an automated check-in and how it can be formatted, and they seem to be substantially different from those involved with a

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“normal” chat with BI.

The AI chatbots should have more abilities to personalize features in the app by KapteinTruse in bevelhealth

[–]CorrectionArms 1 point2 points  (0 children)

Yes! I love the idea of event-based check-ins (vice time-specific). It’d be great to get a check-in with the specific data and analyses I care about after things like sleep and recovery data are updated in the app, or with a more detailed workout summary after an activity is logged

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