Can I add Monetzly to an existing Flowise app without rewriting it?

Yes. You keep your Flowise model calls as they are and pass the streaming response into Monetzly's SDK, so ad injection is additive rather than a rewrite.

Will ads hurt the Flowise chat experience?

Ads are contextual and clearly labelled, placed inside the response stream rather than as competing banners, so the conversation stays the focus.

Do free users of my Flowise app still earn revenue?

That is the point of the model: every session can earn through in-conversation ads, so you are not forced to paywall casual users to make the app viable.

How long does the Flowise integration take?

Because you are wrapping an existing stream with a documented SDK call, most teams wire it in during a single session. The SDK handles connection, injection, and fallback.

Monetize by framework

How to Monetize a Flowise AI App

Flowise is a low-code/visual builder for LLM flows and agents, built on Node and LangChain. Teams reach for it to build visual chatbot building, no-code RAG, and prototyping agent flows. Those are exactly the always-on, conversational experiences where a subscription wall or a banner ad tends to feel out of place, which is where a contextual, in-conversation ad model fits better.

What building with Flowise usually looks like

A typical Flowise project centers on visual chatbot building, no-code RAG, and prototyping agent flows. The interface is a conversation, and value is delivered turn by turn rather than behind a checkout.

That shape is great for users and hard for revenue: the moment you gate it behind a paywall, casual usage, the majority of traffic for most Flowise apps, drops off before it ever converts.

Why subscriptions and display ads are awkward for this stack

Subscriptions force a paying decision before the user has felt the value, and they leave every non-paying session earning nothing. Display networks (banners, sidebars) were built for static pages, not for a streaming Flowise response, they compete with the conversation for attention instead of belonging to it.

Monetzly takes the other path: relevant, clearly-marked ads are placed inside the assistant's response stream, so free users can stay free while the app still earns on every session.

How Monetzly integrates with Flowise

Flowise runs on Node, so the Monetzly SDK can live in the layer that consumes a flow's prediction stream. Call the Flowise prediction API with streaming enabled, adapt its SSE token events to { content }, and pass them through sdk.inject() before relaying to your users. Confirm the streaming response shape for your Flowise version / deployment.

Monetzly's server SDK consumes any async stream of tokens, so you keep your existing Flowise model call and pass its streaming output into sdk.inject(), contextual ads are injected into the token stream keyed on the session and live prompt, with no UI rework.

Integration snippet

TODO_VERIFY: The Monetzly injection is verified; confirm the Flowise-specific stream detail flagged in the snippet against your version before publishing.

import { MonetzlySDK } from "@monetzly/server-sdk";

const sdk = new MonetzlySDK({
  apiKey: process.env.MONETZLY_API_KEY!,
  serverAddress: process.env.MONETZLY_SERVER_ADDRESS!,
});
await sdk.connect();

// TODO_VERIFY: adapt to your Flowise streaming prediction response shape.
async function* flowiseChunks() {
  const res = await fetch(`${FLOWISE_URL}/api/v1/prediction/${flowId}`, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ question, streaming: true }),
  });
  for await (const token of parseSSE(res.body!)) yield { content: token };
}

for await (const t of sdk.inject(flowiseChunks(), { prompt: question })) send(t.content ?? "");
await sdk.disconnect();