Monetize The Seconds
Your AI Spends Thinking.
Every prompt creates a natural pause of 2 to 8 seconds. Advia transforms this idle inference latency into sustainable revenue without adding a single millisecond of LLM delay.
The 8-Step Developer Lifecycle
Designed from day one for modern LLM applications, streaming interfaces, and low-latency client runtimes.
Register AI Application
Set up your application profile in the Advia developer console.
Generate API Key
Obtain your secure client publishable key for network authentication.
Install @advia/sdk
Add the lightweight package to your project with npm install @advia/sdk.
Initialize Advia
Instantiate the client once with your application API key.
Advia.start()
Trigger the waiting experience the moment the user sends a prompt.
Waiting Experience
Advia fetches an approved, brand-safe campaign and mounts seamlessly in your UI.
AI Response Completes
Your LLM finishes generating the token stream.
Advia.stop()
The SDK instantly cleans up the waiting container with zero UI lag.
import { Advia } from "@advia/sdk";
// 1. Initialize with your App API Key
const advia = new Advia({ apiKey: process.env.ADVIA_API_KEY });
async function handleUserPrompt(promptText: string) {
// 2. Start waiting experience when inference triggers
const session = await advia.start({
containerId: "waiting-container",
theme: "dark"
});
// 3. Your LLM runs in parallel (Zero interference)
const response = await callYourLLM(promptText);
// 4. Instantly clean up on token stream completion
advia.stop(session.id);
return response;
}Built For Developers, Loved By Product Teams
Zero Inference Latency
The Advia SDK runs purely on the frontend asynchronously, never bottlenecking your model's token stream.
Zero Prompt Leakage
Advertisers never receive your prompts or user context. Campaigns match via application categories only.
Real-Time Monetization
Track impressions, click-through rates, and verified coupon conversions directly inside your developer dashboard.