Here's how @Tamadoggo detects correlations across events
Hi fellow pet enjoyers! 🐶🐱
I haven't registered a lot of stuff over the past week, but I did add a few important events for Frankie (the forever-allergic doggo 😅), and I wanted to share one of the Weekly Insights that came out of it.
One thing I wanted these insights to do from the very beginning was notice connections or highlight things that are easy to miss when you're just living life with your pet day by day.
To do that, @Tamadoggo looks for things like:
- Patterns across different categories (food → health, medication → behavior, seasonal trends)
- Upcoming milestones or due dates
- Breed-specific considerations
- Gaps in tracking
That's exactly the kind of thing I wanted for Frankie. I don't need someone telling me what to do, I just appreciate the occasional reminder or observation that helps me keep track of things I might otherwise forget.
If you're a pet owner (because @Tamadoggo welcomes felines too 😸), I'd love to hear your thoughts. Is this something you'd find useful?
Replies
Hedy AI
Small suggestion, adding visual timelines or simple charts for these patterns could make the insights even easier to understand. 🙂
Tamadoggo
@kate_sleeman I love the idea! Hmmm, this actually gives me some ideas to explore. Thank you for the insight!
This feels like a personal health timeline for pets. I can see how it would help owners understand their pets better over time.
Tamadoggo
@iris_carr It is, partly. At least for my personal use case, that was the main problem I wanted to solve.
That said, I'd like it to become more than a medical journal. Honestly, our pets' lives are far too short, and having a place where I can preserve Frankie's story and look back on those moments years from now is already valuable to me.
But I'm also exploring ways to make the data more useful. AI is particularly good at finding patterns across large amounts of information, so one area I'm interested in is helping pet owners notice potential warning signs earlier by connecting events that might otherwise seem unrelated.
It's a fine line to walk, though. I don't want to create unnecessary anxiety or generate false alarms, so I'm being very careful about how I approach it.
Thank you for the support! 💛
I'd be curious to know how the app handles possible false connections. If seberal things change around the same time, does it explain why it thinks a particular pattern is worth paying attention to?
Tamadoggo
@jofra_g This part is largely left to the AI, which does the actual interpretation of the data and attempts to connect relevant dots.
The app performs some validation after the response is generated and links observations back to actual recorded events, which helps reduce the risk of hallucinations. That said, false connections can't be completely ruled out, it's a limitation of current AI models in general.
The Weekly Insights and Monthly Letters should be viewed as suggestions, gentle nudges, or useful reminders rather than medical advice.
The goal is also to avoid alarmist output altogether. I want @Tamadoggo to feel more like a thoughtful friend following your pet's story than an automated health diagnosis tool. But of course I aim to improve it along the way, and more comments or questions like this help me think about potential updates. 😊
Thank you for the support!
WebCurate.co
I don't have a pet myself, but this sounds useful. I think the real value isn't in tracking events, it's in helping owners notice patterns they wouldn't have spotted on their own. For example, connecting a food change with allergy symptoms weeks later is something that's easy to miss when you're busy with daily life.
The breed-specific insights are a nice touch too!
Tamadoggo
@hosseinyazdi Yes, that's a direct hit! That's exactly what I'm aiming for, although it's a tricky balance to get right.
The challenge is that AI can occasionally hallucinate or make connections that aren't really there, and the last thing I want is to alarm someone over nothing. That's a pretty good way to lose a customer's trust. 😊
Thanks for the support!
The food to health pattern detection is the feature I'd actually use most. With an allergy-prone dog it's genuinely hard to remember whether the itchy spell started before or after switching proteins, and that kind of cross-category timeline view would save a lot of vet guesswork.
Would love to know if the breed-specific layer pulls from general breed data or if it learns over time from individual pet history. Those are pretty different levels of usefulness in practice.