AI agent

The AI agent is a chat-based creative partner that lives in the panel on the right side of the editor. You describe what you want in natural language, and the agent generates images and videos — placing results directly on your canvas.

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How it works

The agent understands three kinds of context:

1. Your message — What you type in the chat. Be as descriptive or brief as you want.
2. Canvas context — The images and videos currently on your canvas. The agent can see and reference these.
3. Workspace memory — Your saved preferences, brand guidelines, and creative patterns from past projects.

When you send a message, the agent combines all three to produce the most relevant output.

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What the agent can do

The agent has access to a full suite of creative tools: Each of these is covered in detail in the Creating with AI guides.

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Talking to the agent

You can be conversational or specific:

• “Create a sunset over a calm ocean” — The agent picks reasonable defaults
• “Generate a 16:9 image of the main character standing in the rain, matching the color palette from the reference photo” — More specific, references canvas images
• “Animate this image with a slow zoom out” — References an existing canvas image
• “What’s the style of this uploaded photo?” — Asks the vision engine to analyze an image

The agent remembers your conversation history within a project, so you can iterate naturally: “Make it darker”, “Add more fog”, “Try a wider angle”.

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Batch and parallel generation

The agent can handle multiple generation tasks at once. When you request several outputs in a single message, the agent runs them in parallel — you don’t have to wait for one to finish before the next one starts. Quantity requests:

• “Generate 5 different poster concepts for this campaign”
• “Create 3 color variations of this logo”

Style exploration:

• “Try this scene in warm tones, cool tones, and high contrast”
• “Generate both a realistic and an illustrated version”

Character views:

• “Create front, side, and back views of this character” — The agent generates all three in parallel using the same reference

Batch edits:

• “Remove the background from these 3 images”
• “Upscale all the character portraits on the canvas”

Each parallel result appears on the canvas as a separate item, so you can compare them side by side.

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Using skills

Skills are reusable prompt templates that you invoke by typing / in the chat input. Instead of retyping the same style direction or complex instruction every time, save it as a skill and trigger it with a short command like /cinematic or /product-shot. When you type /, a popup shows your available skills. Select one to insert it as a visual chip in your message. You can combine multiple skills with your own text in a single message. Skills are workspace-scoped, so your entire team shares the same set of /slash commands. See Skills for how to create and manage them.

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Conversation memory

The agent remembers everything discussed within a project’s chat session. This includes:

• Your creative direction and preferences expressed during the conversation
• What you liked and didn’t like about previous generations
• Character names, scene descriptions, and terminology you’ve established
• Corrections and refinements you’ve made

This conversation context combines with workspace memory — your persistent preferences that carry across projects. Together, they mean the agent needs less explanation over time.

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How generations appear

Every generation creates a new item on the canvas. Nothing is overwritten or replaced — you always keep your previous results. This means you can:

• Compare multiple variations side by side
• Go back to an earlier generation at any time
• Mix and match results from different attempts

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Credits

Each generation uses credits from your plan. Different operations cost different amounts — image generation is relatively inexpensive, while video generation uses more credits. See the pricing page for a full breakdown.