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AI · November 24, 2025

IB

I built an LLM powered receptionist for website chats

I built Receptionst after noticing a pattern across my own projects. Visitors would open the website chat widget, ask a question and leave before I could answer. If it happened during deep work I missed it. If it happened overnight I never saw it at all. It became obvious that I could not respond instantly which meant I was losing leads without realizing it. I wanted something lightweight that acted like a receptionist by giving instant LLM powered answers based on my own content and by collecting lead details when visitors showed intent. I kept the scope narrow so setup is simple. You…

In plain words

Receptionst is an AI-powered chat widget for websites that provides instant answers to visitor questions based on a site's own content. It collects visitor details when they show purchase intent, helping website owners capture leads they might otherwise miss during offline hours or periods of unavailability. The tool requires minimal setup—users connect their website, add relevant information like docs and FAQs, and the LLM begins responding to inquiries with contextual knowledge from those sources.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

I built Receptionst after noticing a pattern across my own projects. Visitors would open the website chat widget, ask a question and leave before I could answer. If it happened during deep work I missed it. If it happened overnight I never saw it at all. It became obvious that I could not respond instantly which meant I was losing leads without realizing it. I wanted something lightweight that acted like a receptionist by giving instant LLM powered answers based on my own content and by collecting lead details when visitors showed intent. I kept the scope narrow so setup is simple. You connect your site, add the info you want it to know and it starts responding with context from your docs, pricing pages and FAQs. I am happy to answer questions about the tech choices, the prompting, or the things I would do differently.

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