u/InteractionKnown6441

Engineer on a study app team here. We've been looking at how students study chemistry with AI and one pattern is too consistent to ignore.

About 30% of our active users turn on voice mode (talking to the AI out loud while working on paper) instead of typing chat. Those students send around 5x more messages and stay around 2x longer per session. The why, after comparing the two:

1. You can't bluff understanding when you're talking. Typing "I don't get it" is easy. Saying "wait why do we balance oxygens last and not first" out loud forces you to identify exactly where you're stuck.

2. Chemistry has lots of "why does this rule apply here and not there" moments (Le Chatelier, equilibrium shifts, reaction mechanisms). Talking it through resembles a tutor explanation way more than a chat dump does. You will get it once you try it

3. The AI hears when you're confused mid-explanation vs nodding along. Tighter feedback loop than typing.

tldr: the next time you're stuck on a mole calculation, equilibrium problem, or organic mechanism, try voice mode on whatever AI you use. The gap is real.

I work on a study app called Pallo (Cambridge and IB chem syllabuses mostly), https://pallo.ai/, free to use the chat. But the voice tip applies regardless of tool (ChatGPT and Claude has their voice modes as well).

Out of curiosity, what's the chem topic AI gets wrong most often for you?

I work on a study app aimed at exam-syllabus math (Cambridge, IB, IGCSE) so I've been looking at usage data on how students actually use AI for math problems. One pattern surprised us enough I think it's worth sharing regardless of what tool people use.

Most students chat with the AI like they chat with ChatGPT. Type a question, get the working out, move on. About 30% of active users use voice mode instead, literally talking through the problem out loud while writing on paper. Those students send around 5x more messages and stay around 2x longer in their study sessions than the typing only crowd. When we compared the two:

1. You can't fake understanding when you're talking. Typing "I don't get it" is easy. Saying "wait why is the discriminant negative when the parabola obviously has roots" out loud forces you to find exactly where you're stuck
2. Math is sequential, with each step depending on the one before. Typing breaks the flow because you're scrolling and re-reading. Talking keeps you locked in the problem
3. The AI can hear when you're confused mid-step vs when you're following. Way tighter back and forth than walls of text, especially when its hard to type math symbols

tldr: if you're stuck on a math problem at 11pm and you've never tried voice mode with an AI, try it. Doesn't matter which one. ChatGPT, Claude, whatever you use. The gap in our data is too big to be a coincidence.

The thing I work on is called Pallo, https://pallo.ai/, free to use for anybody . Mostly tested on Cambridge and IB syllabuses but the voice tip works regardless. Try it out and let me know if you think anything can be better. Free pro account if we actually implement on your comments

I'm an engineer on a small team building Pallo, an AI study app aimed at Cambridge syllabi (Singapore A-Levels, IGCSE) and IB. About 4k students using it now, and we recently pulled the usage stats to figure out which features people actually use vs which ones we thought would matter. Some of it surprised us enough that I think it's worth sharing.

What we expected to win:

1. Auto-generated practice tests. We built a whole pipeline that generates papers from any topic.
2. Structured lessons. Curriculum-aligned, properly scaffolded, the works.
3. PDF upload. Students upload their notes and ask questions about them.

What actually won:

1. Voice mode. Users who talk to the AI out loud while working on paper send around 5x more messages and stay almost 2x longer than the typing only crowd. We knew voice was a feature, we did not expect it to be the activation moment.
2. Live consults: Literal AI tutor on a collaborative whiteboard, guiding you through any questions you want https://youtu.be/o8sOXeDjb-M?si=waUtzU4IeJnwKMAA
3. Photo upload of worksheets. 73% of active users do this. Phones beat PDFs.
4. Subject context being pre-loaded. Students like not having to re-prompt "Cambridge syllabus, show working" every chat.

What flopped:

1. The test generator. 12 students completed an AI-generated test in 2 months. Brutal numbers. No one wants AI tests when past papers exist for free (in abundance)

The lesson we keep relearning: students don't want a curriculum, they want a tutor. Anything that feels like a textbook chapter gets skipped. Anything that feels like a real back and forth gets used heavily

Retention numbers we're proud of: ~17% D30 of new users, around 50% W4 for some cohorts. Apparently strong for consumer edu. We didn't engineer for retention, students just keep coming back when prelims came

I'm an engineer on a team building a study app (Pallo). Recently pulled some usage stats on which features people actually use, and one pattern surprised us enough that I think it's worth sharing, regardless of what tool you use to study.

When we launched, we assumed students would use it like ChatGPT. Type a question, get an answer, move on. And most do. Based on user feedback, lots of them ask questions specific to they subjects and take pic of the problems they are struggling with

But around 30% of active users turn on voice mode. Literally talking to the AI out loud while learning a new topic / working on a question. Those users send about 5x more messages and stay around almost 2x longer than the typing only crowd. When we compared the two groups, we don't think it's because voice is novel. It's because:

1. You can't fake understanding when you're talking. Typing "I don't get it" is easy. Saying "wait why does the integral split into two parts here" out loud forces you to locate exactly where you're stuck
2. It feels like a tutor session, not a search engine. That is literally how we were brought up through the education system
3. The AI can hear when you're confused vs when you're following. The back and forth is way tighter than typing a response

tldr: if you're using AI to study and you've never tried voice mode on it, try it once on a question you're actually stuck on. Doesn't have to be ours, ChatGPT has voice too. But the gap is too big to be a coincidence.

For context we started with the Singapore A-Level syllabus and have IB students globally joining more recently. Coverage is solid on Math AA HL/SL, the sciences (Bio, Chem, Physics), Lang and Lit, and Econ. Less battle tested on Global Politics, ESS, and some of the language Bs. App is free to try: https://pallo.ai/

 (android and ios app as well!). If your subject isn't great yet or if something can be better, shoot me a dm. We work round the clock to iterate and build a better app.