u/potqtocake

Setting up a new menu for a tiny local spot and losing my mind over the software costs.

It feels like every QR code generator or digital menu tool turns into a full SaaS platform charging $40 a month after a 7 day trial. I just need a clean mobile view and the ability to update a price in 10 seconds.

I know some people use Canva or Google Docs, but they always look clunky on a phone screen or force people to download huge PDF files.

I bumped into menuforma earlier and the pricing actually looks reasonable compared to the bigger platforms, but before I commit to anything, I wanted to ask how other small shop owners handle this. Do you guys use cheap dedicated tools like Menuforma, or have you found a clean free hack that actually looks professional?

Trying to define a refusal-rate metric for some LLM features we're being asked to sign off on, and I keep getting stuck on the classifier, so I've been reading public model cards to see how other people score it.

Nearly every public refusal number I can find comes from a rule-based check on how the response opens. One I read this week: an abliterated Qwen3.8-27B build that OrcaRouter put on HF, harmful-prompt refusal 64-99% on the base checkpoint, 0-6% after the edit. The card is upfront that its classifier is indicative and not publication-grade, which is more than most cards say.

The column beside it is what bothers me. 30-50% of responses in that same table are marked "caveat" — answered, but led with a safety disclaimer. Depending on how the opening-phrase rules are written those can score as refusals, and they clearly aren't. That matters for us, because the reason we're measuring at all is that model-level refusal isn't something a control review can lean on.

So for anyone who has built one of these harnesses in-house: do you score the payload only and throw away the preamble, or run a second-pass judge over the body? And is caveat rate worth reporting on its own, or does it just add noise to something leadership will misread anyway?

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A lot of AI agents look impressive when you first try them, but once the novelty wears off, which ones are you still actually using?

I’m currently using WorkBuddy and OpenClaw, mainly for work and personal projects. I especially like being able to have agents communicate and hand tasks off to each other.

The key for me is keeping things structured: each agent has a clear role, specific tools, its own memory, a defined workflow, and a clear goal.

Curious what everyone else is doing.

Which AI agents have actually become part of your daily workflow, and what tasks are you using them for?

Simple real-world examples would be great!

Hi! i’m currently a 1st year IT student, and i’m having a hard time deciding which career path to take. There are so many fields in IT, and I don’t really know where to start. I know there are a lot of different fields in IT, but i haven’t really found something that i’m interested in or passionate about yet. I also don’t want to randomly choose a field just because it’s popular right now.

For those already working in IT, what career path would you recommend focusing on right now? Which fields do you think will have good opportunities, salary potential, job stability, and room for growth in the next 5–10 years?

If you were in your first year of BSIT again, what would you focus on learning?

I’d really appreciate any advice, especially from people already working in the industry. I just want to have some direction instead of trying to learn everything at once 😭

Keeping my daily carry simple and practical. Most of these items have been with me for a while and cover pretty much everything I need for commuting, traveling, and everyday use.

-Phone
-AirPods Pro
-Leather tactica Wallet
-Car key
-USB drive
-Sunglasses

I used to carry way more stuff, but over time I realized I only need a few reliable things that I actually use.

Still looking for ways to make my setup lighter. What’s one item you always carry that you can’t live without?

https://preview.redd.it/0v0fb3yc8hih1.jpg?width=1279&format=pjpg&auto=webp&s=b58759baa798fc1aa5ebf2630edef2cf7d92fba5

So I recently met this guy and we’ve been talking for around 2 months. We actually have a pretty good vibe and always find things to talk about, so we finally decided to meet in person soon. I’m kinda excited but also overthinking the date lol. I feel like the first date is kinda important, not because it has to be perfect, but because the activity itself can really affect the whole vibe.

I don’t wanna do something too basic like just dinner and sitting across from each other trying to come up with questions. But I also don’t wanna plan every single minute and make it feel like some kind of interview. I work in procurement, so I usually use AI tools to help me organize stuff at work.

Yesterday I randomly tried using acciowork and asked AI for some first date ideas (kinda funny I know lol). I just gave it some basic info about us, like we both like animals, trying new food, and wanted something casual where we could actually talk.

It suggested something like:

start with a place where we can walk around and talk (bookstore, museum, local market, etc.), grab food after if we’re having fun

don’t schedule too many things and leave some space for random conversations, have a backup plan if something doesn’t work out.

Honestly some of the ideas were actually pretty good. I think I was just stuck because I was trying too hard to come up with a “perfect” date. What do you guys think? Do you prefer simple dates where you just hang out and see what happens, or do you like having an activity planned? Also would love to hear some first date ideas that actually worked for you 🙂

I recently moved to a new city for work and found an apartment that perfectly matched my budget and location needs. But there was one thing I didn’t fully realize when I toured it: the natural light is extremely limited.

Even during the day, my apartment feels much darker than I expected. I really miss the feeling of sunlight filling a room and making the space feel lively, warm, and welcoming. I’ve been rethinking my lighting setup, and I’m not a big fan of traditional ceiling lights. While they’re practical for places like kitchens and bathrooms, I feel that in living rooms or bedrooms they often feel too harsh and flat, making the space feel less cozy.

I really like the concept of indirect lighting, using reflected light from walls or ceilings instead of shining light directly into the room. It feels closer to natural daylight, creates fewer harsh shadows, reduces glare, and makes the atmosphere much more relaxing. I’m considering using an indirect lighting desk lamp from Homelist as my main light source. I hope that it can make my apartment feel brighter while still keeping a warm, comfortable atmosphere rather than making it feel like an office.

My current plan:

1. Use indirect lighting as the main ambient light source to make the space feel brighter and more natural.
2. At night, when I want a more relaxing atmosphere, lower the brightness of the indirect light and add scented candles. For me, small details help make a new apartment feel more personal and like home. I’ve realized that soft, layered lighting combined with comforting scents can completely change how a space feels after a long workday.

For those of you living in apartments with very limited natural light, what lighting solutions have made the biggest difference for you? I’d love to hear your experiences.

Curious what people are actually using in production voice agents right now.

Not demo stack.
Not “works on my laptop.”
Actual calls.

What are you using for:

STT
LLM
TTS
telephony / WebRTC
VAD
barge-in
logging
partial vs final transcripts
fallbacks

The thing I keep seeing is everyone blames the LLM first, but half the time the agent is broken before the LLM even gets clean text.

Bad endpointing.
Slow final transcript.
Partial says one thing, final says another.
Caller interrupts and the bot keeps talking.
Phone audio sounds like trash.
Number/date gets heard wrong.
Transcript is accurate later but useless in the moment.

Right now my STT shortlist for voice agents is more like Deepgram, AssemblyAI, Smallest AI Pulse, and some Whisper/faster-whisper setup if the use case can tolerate more infra.

Smallest AI Pulse is the one I’m most curious about for live agents because it is built around realtime STT / ASR, where the question is not “can it transcribe?” but “does the agent get usable speech fast enough to keep the call alive?”

For production agents, what broke first for you?

STT latency?
endpointing?
barge-in?
TTS delay?
LLM/tool calls?
telephony weirdness?

I could really use some advice.

My relationship only lasted about three months, but the breakup has hit me much harder than I expected. It's been two months since we last spoke, and I still think about him every day.

At first, he would still call or text me sometimes. But when I tried to get back together, he turned me down. Eventually, the messages stopped, and now we haven't had any contact at all.

I also have acciowork on my phone, and it occasionally shows updates from his social media, which makes it even harder to stop thinking about him. I'm seriously considering deleting his number because I don't think staying connected in any way is helping me heal.

Has anyone else been through something similar? How did you finally let go? I'd really appreciate hearing your experiences or anything that genuinely helped you move forward.

Curious what keeps people engaged with the platform over time.