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Built a conversational AI voice assistant for a real estate agency using Vapi. Captures property preferences (type, location, budget) and schedules site visits automatically — helping agencies qualify leads faster. The same agent also supports Hindi automatically.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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For a construction company specifically, that missed call path is probably doing more revenue recovery than any other branch. guys on a job site are not picking up mid pour so leads default to voicemail & just go cold without something automatically pulling them back in
Hype, hype and hype... It's the first page of the notebook that I write in tells me.
I was building automated workflows around Signalwatch, and it got me thinking about all the hype.
Hype around just one piece of the puzzle, LLMs. They just predict the next word while generating... No magic.The better they are trained, the better the output. Super helpful in a lot of contexts...
Tool calling. Helpful, but if LangChain and RAG + LLMs, for example, are not included where appropriate, ta ta, bye bye.
Automation. Someone bringing me a glass of water, for example, isn't something to be automated or waste resources or tokens on...
This brings me back to structural understanding, especially python + machine learning basics where you train a model based on a small piece of dataset you download from hugging face, for example... a lot becomes clear here
