Monetize by framework
Monetize your AI app, whatever you built it with
Most LLM apps are conversations, not pages, which is exactly why paywalls and banner ads fit them so badly. Monetzly earns on every session by placing contextual, labelled ads inside the assistant's response stream.
Pick your stack below. Each guide shows how Monetzly's SDK (or, for Python stacks, its gRPC service) wraps your existing response stream, no rewrite, no UI surgery.
Monetize a LangChain app
Framework for composing LLM calls, tools, memory, and agents into chains and graphs, in Python and JS/TS.
Monetize a Vercel AI SDK (Next.js) app
TypeScript toolkit for building streaming AI UIs in Next.js/React with streamText and useChat.
Monetize a OpenAI Assistants API app
OpenAI's hosted API for stateful assistants with threads, tools, and file search.
Monetize a LlamaIndex.TS app
Data framework connecting LLMs to private data via indexing, retrieval, and query/chat engines (TypeScript edition).
Monetize a Flowise app
Low-code/visual builder for LLM flows and agents, built on Node and LangChain.
Monetize a n8n app
Workflow automation tool with AI/LLM nodes for building agentic pipelines visually, running on Node.
Monetize a FastAPI app
High-performance async Python web framework, common backend for LLM APIs and streaming endpoints.
Monetize a Flask app
Lightweight Python web framework often used to serve LLM chat endpoints.
Monetize a Streamlit app
Python framework for building data/AI web apps quickly with pure Python scripts.
Monetize a Chainlit app
Python framework for building conversational AI UIs with minimal frontend code.
Monetize a Gradio app
Python library for quickly building ML/LLM demo web UIs, popular on Hugging Face Spaces.
Monetize a Django app
Batteries-included Python web framework used for production LLM app backends.