isabelleilyia

After being a Superglue customer for 6 months now, I think their future is massive.

Building b2b saas nowadays requires products to be entirely open in terms of configuration and connection to people's greater systems, especially comparing with tools like Claude for specific verticals.

I had initially plugged in Superglue's CLI for the use case above - creating Salesforce opps. Since then, I've gotten the following behavior relatively out of the box (sometimes it just works live on call with a customer): 1. Searching Hubspot deals by some specific criteria 2. Copying and editing a slide deck

The development process with Superglue first went from hours building brittle code -> minutes building a tool. Now it's gone from that to simply an extra SKILL file as soon as we notice a trend in what customers are asking it to do.

Awesome team and awesome product. So lucky to be working with them :)

I think the problem relates to the core value proposition of automating an intake department with voice AI. The best voice AI customer is in an industry in which there is a clear increase in value that comes with the ability to handle a larger mass of calls. This was not the case in the legal world, when one missed client might be a loss of millions (and many firms would live off of < 10 successful cases a year).

Therefore I think the verticals of customer service and lead pre-qualification make a lot more sense. Since you guys have the numbers, I am curious to learn more about the way you define constraints for the bot and how often calls in these verticals deviate from these constraints.

I'm also curious about your opinions/if you've seen any successful use cases where the bot has to be a bit more "creative" to either string together information given to it or make reasonable extrapolations beyond the information it has.

congrats! Some time ago we were giving client intake in legal a try with a voice AI product, but we never were able to get the success rate higher than really low numbers (especially with sensitive use cases like legal where people will reject the call instantly if it's a bot). Have you guys seen use cases like this? What ranges of success rates/engagement times have you seen?