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theVibeCoder.works

AI Research & Consulting · India

Notebook to production.
That's where we live.

We build agents, data copilots, and the infrastructure that keeps them running. For teams who'd rather ship than hire.

Book a 15-min intro→See TARS live
experience.thevibecoder.works
TARS answering an operator's question about how cold brew is trending across their outlets.
question to answer
8–15s

question to answer

forecast horizon, 95% bands
90d

forecast horizon, 95% bands

surfaces — WhatsApp and web
2

surfaces — WhatsApp and web

dashboards to learn
0

dashboards to learn

Your AI team.

You don’t need 5 ML engineers. You need one house that’s already built what you’re trying to build.

Every number below runs in production

~10ms

to search 300 columns

Local embedding, hybrid keyword + vector. No network call in the hot path — warm workers only, and we say so.

SELECT-only

enforced by a real SQL parser

An LLM that writes SQL is easy. Letting it near production data is the actual product. 1GB fail-closed cost cap, tenant isolation denied by default.

Nightly

learning engine, unattended

Reads the day’s conversations, synthesises structured memory, and injects it back at query time. Runs at 3 AM without a human.

One JSON call

routes intent and language

Hinglish in, Hinglish out — romanised, never Devanagari. No translation layer, no locale dropdown. The question is the instruction.

We don’t advise from slides. We advise from shipping.

Where those numbers come from

TARS

Conversational analytics for multi-outlet F&B. Tells you what happened. Why. What to do. And what’s coming next. On WhatsApp and web.

We built it for ourselves, and it runs in production. That’s the whole pitch — imagine what we build for you.

Meet TARS →

Are you an AI builder?

Be part of the AI dev ecosystem.

Open-source. Hackathons. Workshops.

hello@thevibecoder.works