51–60 of 71 posts
Awesome work guys! Which industries / jobs do you suspect will be adopting voice agents the fastest?
I work in the telecom space. I don't think this paradigm will get adopted in the near future. Customers are already building voice bots on top of Google Dialogflow e.g. Cognigy. Cognigy does have LLM capabilities, but it is not widely adopted. I think voice bots will still have to be manually configured for some time.
I'm curious to learn more about what's blocking the widespread adoption of the LLM capabilities. Lack of knowledge, reliability, or something else?
99% of the time, we can just build a simple intent flow off of dialogflow pointing to the customer's API endpoints that will return that data. No where here do we need an LLM / RAG since their endpoint already points to that answer. Hope that makes sense!
My 2.5 year old yesterday starting saying "Hey, This is a test, Can you hear me?", parroting me spending hours testing my LLM. Hah. This will work with a https://www.pipecat.ai type system? Would love to wrap a continuous testing system with my bot.
It should be pretty straightforward at first glance!
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As a test, I asked GPT to call my phone company and get my account balance. It worked and even declined some program they tried to sign me up for. Blew my mind.
What were the steps to get it to make a call?
How will this really check that the models are performing well vs just listening?
AI voice agents are weird to me because voice is already a very inefficient and ambiguous medium, the only reason I would make a voice call is to talk to a human who is equipped to tackle the ambiguous edge cases that the engineers didn't already anticipate. If you're going to develop AI voice agents to tackle pre-determined cases, why wouldn't you just develop a self-serve non-voice UI that's way more efficient? Why…
I'm the same way, and I don't have any data on this, but it's possible that we're in the minority. This probably isn't the case, but hopefully anyone implementing such a system has thought through whether it will actually provide any value. For example, if you had an existing IVR system and you tracked menu options and found that a significant portion of calls were able to be answered by non-smart pre-recorded messag…
AI voice agents are weird to me because voice is already a very inefficient and ambiguous medium, the only reason I would make a voice call is to talk to a human who is equipped to tackle the ambiguous edge cases that the engineers didn't already anticipate. If you're going to develop AI voice agents to tackle pre-determined cases, why wouldn't you just develop a self-serve non-voice UI that's way more efficient? Why…
Frankly I'm surprised there isn't already some sort of NFC info transfer system in fast food restaurants' apps that lets you and everyone in your car enter your order while you're waiting in line, then knows when your car is up and brings you the food. Have the voice part be a fallback tier, not the primary one.
My grocery store can know when I'm arriving and bring out my food, based on location services on my phone. So can Walmart or Home Depot. Granted, they make me wait a couple hours until they notify me that my order is "ready" before I come get it.
I suppose it's possible this does exist and I just haven't seen it because I don't drive through fast food restaurants, but I don't get why a place that primarily takes orders in real time and hands them out the window can't broaden the way to submit them to include on-site online orders as well as "talk to our agent over a glorified walkie talkie" orders.
Earlier quoted context omitted.
Some people (like me) are primarily verbal processors: - I am dictating this message through macOS's voice to text right now - I am a huge user of Google Assistant - I prefer to call people versus texting them - I tend to call restaurants instead of using something like Toast to order takeout (although this is partially because online services will add a surcharge onto the price sometimes, and sometimes I need to ask…
I use Superwhisper (no affiliation, just a happy user), which runs a local Whisper model, to create most of my email drafts and post-meeting notes. I find Whisper more accurate than Mac’s built-in speech-to-text, plus I’m faster at speaking than typing. Sometimes, I even ‘talk’ into Cursor’s chat window instead of typing. The only downside? It can get a bit annoying for others when you're talking to yourself all day.
I guess I understand that a lot of things are being developed for Apple silicon specifically. It's just frustrating that despite hours of searching, I'm not finding anything decent.
AI voice agents are weird to me because voice is already a very inefficient and ambiguous medium, the only reason I would make a voice call is to talk to a human who is equipped to tackle the ambiguous edge cases that the engineers didn't already anticipate. If you're going to develop AI voice agents to tackle pre-determined cases, why wouldn't you just develop a self-serve non-voice UI that's way more efficient? Why…
The example of "fast food drive-thru" really cleared this up for me. Frankly I'm surprised there isn't already some sort of NFC info transfer system in fast food restaurants' apps that lets you and everyone in your car enter your order while you're waiting in line, then knows when your car is up and brings you the food. Have the voice part be a fallback tier, not the primary one. My grocery store can know when I'm ar…
It worked quite well, and surprising coming from RyanAir.