AI Board Editing turns Storyflow AI from a text-only assistant into a hands-on editing partner for your canvas. Instead of explaining your board manually, you can rely on full-board context so the assistant understands the relationships between your notes, cards, visuals, and structure. The result is faster iteration when you are shaping ideas, polishing messaging, or reorganizing a messy board before presenting.

This feature is especially useful when you're deep in production and need quick, high-quality changes without breaking your flow. Filmmakers can tighten narrative boards, marketers can align campaign language, and designers can clean up visual consistency in minutes.

How it works

When you open AI chat in a project, Storyflow AI can read your current board context and respond with edits that match what is already on the canvas. That includes direct updates to element content and styling, such as text refinements, color changes, and structural improvements across related elements.

You can steer the assistant with clear instructions, and you can also narrow or expand scope depending on what you need. If you want precision, reference specific resources with @ mentions in your prompt. If you want broader cleanup, ask the assistant to improve consistency across the board.

For deeper context, combine board context with attachments. Alongside files, you can attach up to 5 documents, 3 tactics and 3 boards to a message, which helps the assistant align canvas edits with external briefs, scripts or requirements.

Step-by-step walkthrough

1. Open the whiteboard you want to improve, then open the AI chat panel in your project.
2. Review your board quickly and decide whether you want a focused edit (specific section) or a broad edit (overall consistency).
3. Write a clear prompt describing the outcome you want, such as improving clarity, unifying tone, or updating visual style.
4. If needed, type @ to reference specific documents, whiteboards, or cards so the AI uses precise supporting context.
5. Optionally attach files, documents, tactics or boards when you want the AI to align edits with an external brief or source material.
6. Ask for direct board edits, for example: color cleanup, copy refinement, or reorganizing related elements based on theme.
7. Review the updated board, then run a second targeted pass for any final refinements before sharing with collaborators.

Changing, not only adding

The assistant edits what is already on the board rather than only adding beside it. It can rewrite, expand, split and merge cards, move things between walls, re-theme a wall so everything inside it follows, add labels, caption images, and remove what is no longer wanted.

Changes are written straight to the board — there is no accept-or-reject step — and one undo reverses the whole turn, however many cards it touched. Overlaps it leaves behind are separated automatically.

What you can do with it

• Filmmaking pre-production: Refine story beat cards, tighten scene-note language, and keep narrative structure coherent across the board.
• Marketing campaign planning: Standardize messaging across hooks, value props, and CTAs so every section speaks in one voice.
• Design concept boards: Quickly align color usage and element labeling to create cleaner creative direction boards for stakeholders.
• Writers' room organization: Rework scattered ideas into clearer thematic groups and improve readability of key notes.
• Creative review prep: Clean up copy and visual hierarchy before presenting to clients, executives, or production teams.
• Cross-functional handoff: Use attached briefs plus board context so edits stay aligned with strategy, not just wording.

Tips

• Start with one objective per prompt. "Improve clarity" and "change style" in separate passes produce cleaner outcomes.
• Ask for specific edit intent, such as "unify headline tone" or "apply consistent color emphasis for priority items."
• Use @ mentions for high-stakes sections so the assistant anchors edits to the exact resources you care about.
• Before final sharing, run one last AI pass focused on consistency across naming, tone, and visual emphasis.

Next, read AI Assistant Overview, How Storyflow AI Works, and AI Best Practices to build an end-to-end AI workflow.