Using Miro, Notion, Canva, or another tool with AI built in? You can get a standard Provenance Label from any of them — you just need to give the AI the right format to follow.
With Claude or ChatGPT, you can install PLGen and it tracks your session from the start. Embedded AI tools work differently — they're woven into the product, not a chat interface. You can't run plgen init inside Miro.
But these AIs already know what Provenance Label is. Paste the prompt below at the end of your session and describe your context — the AI will generate a properly formatted label. No setup required.
Copy this into any AI-powered tool at the end of your session. Fill in the three bracketed fields before sending.
Create a Provenance Label for this work using the provenancelabel.org v1.2 standard. My context: [describe the work — what you made, what you provided, what the AI did] My name: [your name or handle] My estimated split: [X]% human / [Y]% AI Output ONLY the label in this exact format — no additional commentary, no explanations: PROVENANCE LABEL v1.2 ───────────────────────────── Author: [my name] Date: [today's date YYYY-MM-DD] Human: [X]% AI: [Y]% Tool(s): [name of this AI tool and version if known] ───────────────────────────── Human role: [one sentence — what I contributed] AI role: [one sentence — what this AI contributed] ───────────────────────────── Standard: provenancelabel.org
The AI will fill in the roles and confirm your split. If it adds extra commentary, ask it to output the label block only.
Each tool handles the output a little differently. Here's what to expect and how to make the label look right.
Miro's Sidekick understands the standard and will generate a label when prompted. Paste the prompt into the Sidekick panel after your session.
To display the label on your board: add a Text element, paste the label block in, and set the font to a monospace option (Courier New or similar). The ───── separators create the visual structure.
Use Notion AI (ask in any page) and paste the prompt. Notion AI follows structured output instructions reliably.
To display: paste the label into a Code block (type /code). Code blocks in Notion preserve monospace formatting and the separator lines perfectly — this is the cleanest way to show a PLGen label in any Notion document.
Use Magic Write in a text element and paste the prompt. Canva AI follows formatting instructions when given a clear output template.
To display: paste the output into a text box. Set the font to a monospace option (Space Mono is available in Canva) to preserve the label's visual structure. Place it at the bottom of the design, like a document footer.
Open the Gemini sidebar in Google Docs and paste the prompt. Describe your document and your collaboration split.
To display: paste the label at the end of your document. Select it and apply a monospace font (Courier New or Roboto Mono). You can add a horizontal rule above it to visually separate it from your content.
Open the Copilot pane and paste the prompt. Describe the document or presentation and your collaboration.
To display: paste the label into a text box using Consolas or Courier New. In Word, a footer or appendix works well. In PowerPoint, a small text element on the relevant slide or a dedicated final slide.
Use the Figma AI prompt field and paste the prompt. Describe your design work and the AI's contribution.
To display: add a text layer using a monospace font (IBM Plex Mono or Roboto Mono). Place it in a low-opacity frame as a design annotation, or on a dedicated cover/handoff frame.
Place the label where the work lives — on the board, in the document, in the footer of the design. Disclosure is only meaningful if it's visible alongside the work itself.
Registration gives your label a permanent ID and timestamped public record — especially useful for academic, professional, or client work where verifiable disclosure matters. Use the JSON format when registering. Register a label → · Become a member →
If you're working in a standalone AI chat tool rather than an embedded one, the full PLGen session tracking gives you more accurate split estimation. Get started →