ConerAI
A round-the-clock acquisition agent in a single line of script — it speaks your visitor's language out loud, separates browsers from buyers, and syncs the winners straight to your CRM.
Context
Small teams, founders, and agencies lose leads for a boring reason: adding a genuinely capable chatbot to a site normally means writing code, wiring up a CRM, and stitching analytics across a handful of disconnected tools. By the time all that is in place, the visitors it was meant to catch are long gone. ConerAI collapses the whole stack into a one-line install — a voice-enabled, multilingual AI agent that greets visitors in their own language, works the room around the clock, and turns a passive website into an active acquisition channel.
Role & scope
Duo (2-person team); I was the main developer, building across every layer during the 40 hours at VibeCon 2026, IIT Delhi. My teammate built the landing page.
Problem
Adding a chatbot is a coding project, and most of them only speak English — a hard limit for anyone with a global audience. On top of that, acquisition tooling is scattered across separate apps: the chat lives in one place, the leads in another, the reporting somewhere else. Seeing what's actually converting takes hours no small team has.
Solution
Paste one line of script and any website gains a voice-enabled, multilingual AI agent that replies in each visitor's own language. It runs in two modes — Acquisition and Customer Service — qualifies high-intent visitors 24/7, tracks them in a built-in lead CRM, and surfaces everything through an insights dashboard, with zero code on the user's side. The language and reasoning are powered by Emergent's Universal LLM API, so one script replaces a whole acquisition stack.
Stack
- React
- Node.js
- Express.js
- MongoDB
- Emergent Universal API (LLM)
- Vercel
Outcome
Designed, built, and shipped end-to-end in 40 hours as a two-person team at VibeCon 2026, IIT Delhi.
Links
- Live — Coming soon
- GitHub — Coming soon