Learn how to connect Bolt.new AI with FullStory in 2025 using clear steps to improve analytics, automation, and user insights.

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You don’t directly “integrate Bolt.new AI with FullStory” as if there were a built‑in connector. What you actually do is integrate your app (the one you’re building inside Bolt.new) with FullStory using the normal FullStory JavaScript snippet on the frontend, and then optionally expose FullStory data to your AI agent inside Bolt.new by calling the FullStory Server APIs (Identity, Events, Journeys) with secure environment variables. Bolt.new doesn’t change FullStory’s integration pattern — it just gives you a workspace to scaffold the UI, backend routes, and API calls.
You’re doing two independent things:
There is no secret Bolt.new–FullStory bridge. You wire it the same way you would in any full-stack project.
The frontend of any Bolt.new project is just files you control (React, Vue, vanilla HTML, etc.). To integrate FullStory, you paste the official snippet from FullStory’s “Settings → Data Capture → Install Script” into your app’s HTML root or React entry file.
Example for a React app in Bolt.new:
// src/main.jsx or src/index.js
import React from "react"
import ReactDOM from "react-dom/client"
import App from "./App"
// FullStory browser script
;(function(m,n,e,t,l,o,g,y){
if (e in m) {if(m.console && m.console.log) { m.console.log('FullStory namespace conflict.');} return;}
g=m[e]=function(a,b,s){
g.q?g.q.push([a,b,s]):g._api(a,b,s)
};g.q=[];
o=n.createElement(t);o.async=1;o.src='https://edge.fullstory.com/'+y;
y=n.getElementsByTagName(t)[0];y.parentNode.insertBefore(o,y);
})(window,document,'FS','script','user');
// Identify a logged-in user
FS.identify("USER_ID_123", {
plan: "pro",
role: "admin"
})
ReactDOM.createRoot(document.getElementById("root")).render(<App />)
This immediately enables automatic capture and session replay.
In Bolt.new, the backend (usually an Express server) can call FullStory’s public APIs. These require a Server API Key. You create one in FullStory under “Settings → API Keys”. Put that key in Bolt.new environment variables.
Example Node.js request in Bolt.new’s server routes:
// server/fullstory.js
import fetch from "node-fetch"
const FS_API_KEY = process.env.FS_API_KEY
export async function getSession(sessionId) {
// FullStory Session Query API
const res = await fetch(`https://api.fullstory.com/v2/sessions/${sessionId}`, {
headers: {
"Authorization": `Basic ${Buffer.from(FS_API_KEY + ":").toString("base64")}`,
"Content-Type": "application/json"
}
})
if (!res.ok) throw new Error("FullStory API error: " + res.status)
return await res.json()
}
Once your backend exposes this as an internal route, your AI agent inside Bolt.new can call it like any other endpoint. For example: “fetch the last session for this user and summarize it”.
Important: Bolt.new AI cannot “talk to FullStory” on its own. It only can call APIs you wire up in your backend. So if you want the AI to retrieve user session links or attach metadata, you expose backend endpoints like:
The AI then uses those routes. That’s the real integration model.
When you deploy outside Bolt.new:
The integration is just: add FullStory’s browser script on the frontend, call FullStory’s REST APIs on the backend, secure everything with environment variables. Bolt.new adds convenience for wiring, testing, and exposing these routes to the AI — but the integration itself is 100% standard FullStory integration.
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