How Do You Build a Workflow in AI-Flow?

AI-Flow is an open-source, user-friendly UI application for chaining AI models into automated workflows. You build a workflow by selecting models as nodes, connecting them in a sequence, and integrating them into an end-to-end pipeline — without writing model-calling code from scratch. The site frames the process in three steps: Select. Connect. Integrate. It suits anyone who wants to automate a content-creation pipeline (for example, image generation feeding into video generation) using models from multiple providers in one flow.

The core idea: models as connected nodes

Instead of calling each AI model separately, AI-Flow treats each model as a node in a visual workflow. You pick the models you need, wire them together so the output of one becomes the input of the next, and run the whole chain as a single automation.

The site describes this as combining models "inside the same workflow to create end-to-end automations." A typical content pipeline might run from a text prompt, through an image model, into a video model — all connected in one flow.

Which models you can connect

AI-Flow's page states you can chain models from OpenAI, Google, Anthropic, and Replicate. The listed models span several categories:

The page also shows a multi-model example prompt (a fashion-film style video description) paired with several model names, illustrating how one creative brief can route through multiple models.

How to build a workflow

1. Select — choose the models you want as nodes. The page lists models across text, image, video, audio, and 3D categories.
2. Connect — link the nodes so each model's output feeds the next step. This is what turns separate models into a pipeline.
3. Integrate — run the connected chain as one automation, from initial input to final output.

The exact node types and connection rules are shown inside the application; the site does not publish a full step-by-step node reference, so the in-app interface is where you confirm available connectors and wiring options.

Access and cost signals

The page states "No subscription · Free tier with your own API keys." It also says you can "Use your own API keys — or don't," implying there is a path that does not require supplying your own keys. The site does not publish specific pricing tiers or payment details, so treat the free-tier and no-subscription statements as the page's own framing rather than a full pricing breakdown.

What to check before you start

• Provider keys: if you use your own API keys, confirm which providers you already have access to (OpenAI, Google, Anthropic, Replicate are named).
• Model availability: the model list on the page is long and changes over time — verify the specific model you need is currently offered in-app.
• Pipeline shape: decide your input and desired output first (e.g., prompt → image → video), then select the models that fill each stage.

Because AI-Flow is open source with a UI, the practical starting point is to open the app, select your models, and connect them into the pipeline your task requires.