Can I call a Floniks workflow from my own application?

Yes. Every workflow is addressable over the REST API, and there is also an MCP server so agents such as Claude and Cursor can invoke workflows directly as tools.

Do nodes run in sequence or in parallel?

The executor topologically sorts the graph and runs nodes in parallel wherever their dependencies allow, so independent branches do not wait on each other.

What happens if one node fails?

The workflow reports the failing node and its error, and credits deducted for the run are refunded. Partial outputs from completed nodes remain available for inspection.

Can one workflow mix image, video, voice and text models?

Yes — that is the point. A single graph can analyse an image with a vision model, rewrite the prompt with a language model, generate and animate a frame, then add a synthesised voice track.

AI Workflow Automation

Chain models into a pipeline that runs itself — and call it from your own product.

Start creating

What is AI workflow automation?

Most AI work is not one model call — it is a sequence: analyse an image, rewrite the prompt, generate a frame, animate it, add a voice track, upscale the result. Doing that by hand across separate tools is where the time goes. Floniks lets you wire those steps into a directed graph in a visual editor, run it on demand, and then call the whole pipeline from your own product through a REST API or an MCP server. Nodes execute in parallel wherever dependencies allow.

Models behind this tool

Every model listed here is already available on your account. Credit cost per render is read live from the model catalogue.

GPT-52 credits
Image Analyzer (GPT-5)50 credits
Nano Banana Pro75 credits
Kling 3.0 Turbo18 credits
MiniMax Speech 2.8 HD2 credits

What people use it for

Repeatable production pipelines

Define the chain once, then run it for every product, episode or campaign without rebuilding it.

Embedding generation in your own product

Expose a workflow over the API so your application triggers it rather than reimplementing the chain.

Agent tool use

Connect the MCP server so Claude, Cursor or another agent can run your workflows directly.

Batch jobs

Run the same pipeline across a list of inputs instead of stepping through them one at a time.

How it works

Build the graph
Drag nodes onto the canvas and connect them. Each node is one model call; edges carry outputs into the next input.
Test and iterate
Run the workflow end to end and inspect each node’s output to find where a chain breaks down.
Call it from anywhere
Trigger the finished workflow from the REST API, or connect the MCP server so an agent can run it as a tool.

Frequently asked questions

Can I call a Floniks workflow from my own application?: Yes. Every workflow is addressable over the REST API, and there is also an MCP server so agents such as Claude and Cursor can invoke workflows directly as tools.
Do nodes run in sequence or in parallel?: The executor topologically sorts the graph and runs nodes in parallel wherever their dependencies allow, so independent branches do not wait on each other.
What happens if one node fails?: The workflow reports the failing node and its error, and credits deducted for the run are refunded. Partial outputs from completed nodes remain available for inspection.
Can one workflow mix image, video, voice and text models?: Yes — that is the point. A single graph can analyse an image with a vision model, rewrite the prompt with a language model, generate and animate a frame, then add a synthesised voice track.

Models used here