Hey everyone, We pushed our launch live today and it feels surreal. We built a conversational AI agent that handles customer conversations across chat, voice, and video, and also completes the work behind them.
It has been a long build and sharing it here makes me a little nervous, but I would really appreciate any thoughts or feedback from this community.
A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.
In the spirit of forever optimising our taglines, I wanted to do a little experiment:
A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.
In the spirit of forever optimising our taglines, I wanted to do a little experiment:
Hey everyone! I m Alia and I m still pretty new to posting here. I ve been reading threads and learning from this community for a while, and finally decided to say hi.
My background is actually non-tech. I started as a marketer at a jewellery company but I ve been learning everything on the go with my team at Kaily.ai (big pivot, I know)
I know we re one of many, but we re genuinely trying to build something useful, which is why I m here.
Kaily doesn t just chat. She talks, joins video calls, and actually gets things done. She can book appointments, fetch information from your catalog, update CRMs, and even sit inside Slack as your own AI agent. We ve also worked hard on our multilingual capabilities because we know not everyone speaks to AI the same way.
The year is almost done, and I have started to be curious about what could be stopping companies from adopting AI for their customer support services?? From my experience, I can tell - fear, fear of losing control. Support leaders worry that AI will say the wrong thing, sound off-brand, frustrate customers, or create more cleanup work for the team. Until they see that an AI agent can learn from their own knowledge base, follow rules, escalate when needed, and stay accurate, they hesitate. Once they realize it can actually reduce workload without breaking trust, adoption becomes much easier. What do you think? Do you agree with me?
December is the month that officially closes the launch chapter of the year, so you still have a last chance to come up with something that will get attention.
Such December classics are definitely products with these narratives:
Wrap-ups
Advent Calendars
Most searched topics
Prognosis for the coming year
Productivity and health apps (ready for New Year's resolutions)
