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Tensor AI
An AI/Data Science project built with Streamlit that demonstrates the practical use of machine learning and intelligent data processing through an interactive web interface. The project focuses on turning complex AI workflows into a simple, accessible tool that users can interact with directly.
Used NVIDIA BUILD API
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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700 followers on Contra. 🫶
A small number, but a big milestone for me.
700 → 1K. Let’s keep going. ⚡
PS: Yes, the post is AI-generated.
At this point, I’m just supervising. 😂
A personal identity experiment for Super Intelligence.
The symbol combines a star and the letters SI into one compact mark.
Logo design + motion.
Excellent use of geometry in the logomark!
On a phone call, silence is the bug.
A text chatbot can take three seconds to reply and nobody minds. A voice agent can't. Leave a caller in silence for a beat too long and they say "hello?", start talking over it, or hang up.
That one fact shaped everything we built on Talk-Lee, an AI voice agent that answers business calls for healthcare, real estate and finance teams. Scheduling, support, lead qualification, around the clock.
The goal was a reply in under 500ms. You don't get there with a faster model. You get there by making sure nothing waits for anything else.
→ Speech to text streams while the caller is still talking
→ An LLM and intent layer keeps track of what they actually want
→ Text to speech streams back, so the agent starts talking before the whole answer is ready
→ An orchestrator decides in real time whether to answer, book or hand off to a person
Then it has to do something useful. It books into Calendly, logs the lead in HubSpot, and passes the hard calls to a human with the context already attached.
Where it landed. Under 500ms responses, 1,000+ concurrent calls, 30+ languages, GDPR and TCPA compliant.
Third project in a row with the same lesson. The model is the easy part. The plumbing around it decides whether anyone keeps using it.
