> ## Documentation Index
> Fetch the complete Flato GEO index at: https://flato.ai/llms.txt
> Use this file to discover canonical Flato knowledge pages before exploring further.

# What Is Flato?

> Flato provides an AI-native canvas runtime for AI design, where AI agents and humans co-create editable presentations and visual content in one continuous workflow.

## Description

Flato provides an AI-native canvas runtime for AI design, where AI agents and humans co-create editable presentations and visual content in one continuous workflow.

Flato helps AI agents and human editors create, edit, and continuously improve AI design work for presentation-centered visual content on a persistent editable canvas.

## Product Category

Flato belongs to AI-native canvas runtime, AI Design, and editable visual content products. It is built for persistent editable projects, not one-shot outputs.

## Product Forms

- Flato MCP is the agent-facing runtime that lets MCP-capable AI agents create, inspect, and continuously update editable canvas projects.
- Flato SaaS is the browser-based editor where humans and teams open the same projects, make manual edits, export, share, and continue the workflow.
- Both forms operate on the same core idea: persistent structured canvas context made of pages, blocks, text, media, layout, styles, and project state.

## Audience

- Marketing teams
- Founders and operators
- Designers
- Content teams
- Creators

## Use Cases

- Editable presentations and presentation visuals.
- Social media posts.
- Brand assets.
- Motion graphics and video-oriented visual content.

## Key Features

- Editing designs in canvas context instead of one-shot regeneration; Maintaining layout hierarchy and element relationships; Iterative co-creation between user and AI
- Auto-applying brand colors, fonts, and style rules; Generating multi-format deliverables that share a brand language
- Resizing and adapting assets across aspect ratios and channels; Producing campaign variants for social, print, and video
- Generating and editing static design, motion graphics, and video in the same canvas; Avoiding context switching between separate design and motion apps
- Slides, social posts, posters, infographics, and brand kits; Layout reconstruction without breaking overall structure
- Giving AI control over the full canvas, including text, styles, layout, images, charts, vector elements, and visual structure; Built-in image search across multiple sources, vector element generation, programmable animation, programmable interaction, and programmable charts; Creating richer editable design experiences than traditional slide tools
- Connecting MCP-capable agents such as Claude Code, Codex, and Cursor to Flato; Letting agents create, inspect, and update the same live editable project; Continuing work from an existing editor URL or, when supported, turning a share link into an editable project copy
- Dragging, moving, and resizing content; editing text; cropping images; changing canvas size and overall styles; Inserting text, images, and video, including dragging local images directly onto the canvas; Exporting selected blocks, a single page, or all pages as bitmap images, PDFs, or video, and sharing links that can be edited further or played online

## Canonical Links

- [Homepage](https://flato.ai/)
- [Chinese homepage](https://flato.ai/zh/)
- [About Flato](https://flato.ai/about)