AI Canvas

A canvas your AI agents
can see — and act in.

Clearly is a spatial workspace where an AI agent perceives the whole board and works on it: it reads what is there, plans out loud, then draws, generates, arranges and edits alongside you. Not a whiteboard with AI bolted on — a canvas built for agents.

Open the canvasSee it vs Miro
The concept

What is an AI canvas?

An infinite spatial workspace where an AI agent can both see the whole board and act on it — not a chat box stapled to a whiteboard.

On a normal whiteboard, AI is a sidebar: you type a prompt, it returns text or one sticky, and the board itself stays invisible to it. An AI canvas inverts that. The canvas is built so an agent perceives the entire board as structured scene data — every shape, label, diagram and the way they relate — and acts on it as a first-class operator.

Agent-native matters because it is the difference between a tool that describes and one that does. When the agent can see what is selected, what sits next to what, and what a diagram actually means, it can plan and edit like a collaborator instead of guessing from your prompt alone. The board becomes a shared workspace for you and the AI at once.

Sees the whole boardActs in placeNarrates its reasoning
The loop

How agents work on the canvas

Perceive, plan, act, edit — a real working loop on a shared surface, not a one-shot render you have to babysit.

Step
01

Perceive

The agent reads the whole board as structured data — every object, its position and text, what is selected, and where you are looking. It starts from what is actually there, not a blank guess.

Step
02

Plan

It states its reasoning before it touches anything: what it understood, what it intends to add or change, and why. You see the plan, so nothing is a black box.

Step
03

Act

It draws shapes, generates vector art and diagrams, lays out and rearranges elements, and restyles — directly on the canvas, in place, where it belongs.

Step
04

Edit

You refine together. Steer mid-task, nudge a node, restyle a branch, or take the pen back — then hand it off again. Real-time, reversible, collaborative.

The wedge

The intersection nobody owns

Agents that can plan exist. Canvases exist. Almost no one has both in one place — an agent that genuinely sees the board and acts on it.

Agents, no canvas

Coding agents and assistants like Cursor or Lindy can plan and act, but they work in text and files. There is no spatial board to see, lay out, or reason about visually.

Canvas, weak agents

Miro and FigJam give you the board, but the AI is a bolt-on that cannot truly perceive it — a sidebar that returns a sticky or a paragraph, blind to the scene around it.

Canvas + agents that see

Clearly is the intersection: an infinite canvas where an agent perceives the whole board and acts on it — drawing, generating, arranging and editing, out loud, with you.

Capabilities

What the canvas can do

An agent-native surface, end to end — see the board, make things on it, work together, take it with you.

Infinite spatial canvas

Pan and zoom across an unbounded board. Spread out a whole system, then zoom into a single node — there is always room to think.

An agent that sees the board

The AI perceives every object, relationship and selection as structured data — so it works from what is there, not a blind prompt.

Generate in place

Ask for vector art, diagrams, logos or layouts and watch them drawn straight onto the canvas, positioned where they belong.

Real-time multiplayer

Teammates and agents share one live board with presence — humans and AI co-editing the same surface at the same time.

Plans you can read

Every agent action is narrated: what it understood, what it is changing, and why. Steerable and reversible at every step.

Export anywhere

Take the result with you — export the board and its pieces to the formats you actually ship in, no lock-in.

Use cases

What you can make

Because the agent sees the whole board, it can build any of these from a prompt — or extend the one you already started.

Flowcharts & diagrams

Describe a process and the agent lays out clean, connected nodes — then reflows them as you add steps or change the logic.

Brainstorm & mind maps

Dump every idea, then ask the agent to cluster, branch and structure it into a mind map you can keep extending.

Moodboards

Pull references and generated art onto one board and arrange a direction — the agent helps compose and tidy the layout.

Generated art & logos

Generate editable vector art and logo concepts in place, then iterate on them on the same canvas instead of round-tripping to another app.

User-journey maps

Map steps, stages and touchpoints across the board; the agent fills gaps and keeps the swimlanes aligned as the journey grows.

System diagrams

Sketch services, data flows and dependencies — the agent reads the existing shapes and extends the architecture coherently.

Go deeper

Explore the canvas

Dig into the whiteboard the agent works on, see how it stacks up against Miro, and find out why product teams reach for it.

AI whiteboard

The collaborative whiteboard the agent draws on — infinite, multiplayer, and built to be perceived.

Clearly vs Miro

A board with AI bolted on versus a canvas an agent can actually see and act in — the honest comparison.

For product managers

Turn a braindump into flows, journey maps and specs on one board — with an agent that does the arranging.

FAQ

AI canvas, answered

01What is an AI canvas?+
An AI canvas is an infinite spatial workspace where an AI agent can both see the whole board and act on it directly. Instead of typing into a chat box and pasting results back, you and the agent share one surface: it reads what is already there — shapes, text, diagrams, art, layout — then draws, generates, arranges and edits in place. The canvas is the interface and the memory at once.
02How is this different from Miro or FigJam with AI features?+
Miro and FigJam are whiteboards with AI bolted on — the AI is a side panel that spits text or a single sticky into a board it cannot really perceive. Clearly is the inverse: the canvas is built so an agent perceives the entire board as structured scene data and acts on it as a first-class operator. It sees what is selected, what is near what, what the diagram means — then plans and edits accordingly, narrating as it goes.
03Can the AI actually see what is on my board?+
Yes. The agent perceives the canvas as a structured room: every object with its type, position, text and relationships, what is selected, and where you are looking. That is the whole point — it does not guess from a screenshot or work blind from your prompt alone. It reads the board, reasons about it, then acts. You can ask it about anything already on the canvas and it answers from the actual contents.
04Can agents act on the canvas autonomously?+
They can take real actions — draw shapes, generate vector art and diagrams, lay out and rearrange elements, restyle, and clean up — and they narrate the reasoning behind each step so nothing is a black box. You stay in control: you can steer mid-task, undo anything, or take the pen back at any moment. It is collaboration, not a fire-and-forget render.
05Is the canvas collaborative?+
Yes. It is real-time multiplayer — teammates and agents share the same live board, with presence so you can see who (and which agent) is working where. Humans and AI co-edit the same surface at the same time, which is exactly what makes the agent-native model useful for real work rather than a demo.
06What can I make on an AI canvas?+
Flowcharts and system diagrams, brainstorms and mind maps, moodboards, user-journey maps, and generated art and logos placed straight onto the board. Because the agent sees the whole canvas, it can build a diagram from a prompt, extend one you started, or turn a messy braindump into a clean structure — then export it when you are done.

Put an agent on your canvas

Open an infinite board, describe what you want, and watch an agent perceive it, plan it, and draw it — with you, in real time.

Open the canvasSee it vs Miro ⟶