The four-beat workflow
Almost everything in Melius follows the same shape:Brief
Tell the agent what you want, in plain language. Paste in references, product links, brand assets — whatever helps. The more context you give, the better the output.
Watch
The agent assembles a canvas: picks models, writes prompts, routes outputs between nodes. You can see what it’s doing in real time, with each node’s reasoning visible.
Tweak
The agent will land you 85–95% of the way there. Step in at the node level — edit a prompt, swap a model, change a reference image, branch a new version — until the output is exactly right.
The building blocks
Three things make the canvas work: nodes, edges, and the agent.Nodes
A node is one AI model call. The main types you’ll use:- Text node — a language model (GPT, Claude, Gemini). Treat it like ChatGPT inside a node: prompt in, text out. Useful for ideation, prompt-writing, brand analysis, and as a place to paste a brand brief.
- Image node — an image model (Nano Banana, GPT Image 2, etc.). Generates from text, an image-to-image reference, or both.
- Video node — a video model (Veo, Seedance, Sora). Takes text, a starting frame, or a reference image as input.
- Audio node — voice generation, currently powered by ElevenLabs.
- Studio node — a layered editing canvas inside a node. Add layers, drop in text overlays, position elements precisely. The right tool for last-mile composition edits without leaving Melius.
- Stitch node — concatenates video clips into a longer sequence.
Edges
An edge is the line connecting one node to another. What an edge actually does on the backend is route context: the output of the source node becomes part of the input for the destination node. Two ways to create edges:- Drag the circle. Each node has a small circle on its border. Drag from the source node’s circle into the body of the destination node.
- Use
@in a prompt. Type@inside a prompt field and a list of nearby nodes appears. Select one, hit enter, and the edge appears automatically — the same way@works in Slack.
The agent
The agent (Mel) sits in a chat panel on the canvas. It has access to every tool on the canvas — it can create nodes, connect edges, write prompts, choose models, run generations, and check its own work. Two modes:- Auto-run. The agent decides what to build and runs it without asking. Best for “I trust you, just make me 10 variants.”
- Ask permission. The agent asks clarifying questions before each major step. Best for high-stakes work where you want to inspect each decision.