u/TowerPuzzleheaded887

From testing AI receptionists, I’ve noticed that the biggest failures usually aren't the initial greeting. They happen later: collecting the right information, understanding ambiguous requests, booking the correct time, avoiding repetitive questions, and knowing when to hand a caller to a human.

That makes me think the useful metric isn't simply “Did the AI answer the call?”

It’s closer to: Did the AI complete the caller’s intended task without creating extra work for the business?

For a service business, an AI that answers 100% of calls but incorrectly books appointments can arguably be worse than missing some calls.

Curious how others here evaluate AI receptionist reliability, completion rate, booking accuracy, transfer rate, caller satisfaction, or something else?

I've been thinking about this lately. A lot of us in Nepal hear things like: "IT ma ta 1 lakh+ easily kamauna sakincha."

But then you look at actual entry-level/junior salaries and the reality seems very different. At the same time, comparing a Nepali developer's salary directly with someone working remotely for a US company doesn't really seem fair either. So I'm curious what people here think:

• What is a realistic salary for a junior developer in Nepal in 2026?
• At what point would you consider yourself "well paid"?
• Is remote work actually changing salaries in Nepal?
• Should Nepali developers focus more on local companies or international clients?
• And honestly, is the Nepali IT market improving or are we just hearing more success stories online?

Would be interesting to hear actual numbers/experiences rather than the usual "learn coding and you'll make 2 lakh" advice.

I’m building a voice AI product for small service businesses, and one of the biggest lessons I’ve learned is that getting an AI system to work in a demo is surprisingly easy compared with making it reliable in the real world. A demo can successfully answer a question, collect information, or book an appointment, but real conversations are messy: people change their minds, give incomplete information, speak indirectly, ask unexpected questions, or need something the system wasn't prepared for. I’ve found myself spending more time thinking about failure cases and recovery than making the AI sound more natural. It changed my definition of “working.” A feature isn't really finished just because it works when everything goes right; it's finished when the system behaves sensibly when things go wrong.

For founders building AI products, what’s one failure case that completely changed how you thought about your product?

When a business is small, you can usually keep a close eye on almost everything. But as it grows, some things that were easy at first seem to become surprisingly complicated.

I'm curious about the opposite side of the usual growth conversation: What became noticeably harder after your business started growing?

Not necessarily revenue or workload, it could be communication, hiring, decision-making, customer expectations, keeping quality consistent, or simply knowing what deserves your attention.

And looking back, is there anything you would have set up differently before reaching that stage?

I'm still pretty new to Reddit and I'm trying to understand how people normally share something they've built when they actually want honest feedback, not promotion. I have a project I'd like to show to a few people and get some real opinions on it, including what they don't like or what could be improved.

Is there a type of subreddit that's generally meant for this?

And as someone who's still new here, is it okay to include a link to the project when asking for feedback, or is it better to describe it first and only share the link if the community allows it? I don't want to accidentally treat a discussion subreddit like an advertising channel, so I'd rather understand the etiquette first.

For those who have tested AI receptionists, what’s the one thing that immediately makes you want to hang up or ask for a human?

For me, I suspect it’s less about the voice itself and more about things like repeating questions, long pauses, confidently giving the wrong information, or making it difficult to reach a person.

Curious what others have experienced with real calls.

Hey everyone, I’m new to Reddit and still figuring out the culture here.

Sometimes I see a post and have something to add, but I’m not sure if my comment is useful or if I’m just adding noise.

Is there any rule of thumb you follow before commenting? Curious how experienced Reddit users decide.