Provenance Labels work at any stage of a project. Answer two questions and we'll show you where to begin.
Starting fresh with Claude. Choose how you want PLGen available — the workflow after setup is the same either way.
Install PLGen in your existing project once. It's there every session — no prompt to paste, no setup each time.
See install guide →Use the standalone PLGen Claude Project. Open it and start — everything's already configured, just for you.
Open PLGen in Claude →Once you're set up via either path above:
plgen initOpens the session. PLGen records the date and tool automatically. No setup questions.
Write, research, draft — whatever you're making. PLGen observes contributions silently throughout the session.
plgen generatePLGen closes the session and produces your label. It'll ask you to confirm the contribution split. You review and approve — the final number is yours.
Registration gives your label a permanent ID and timestamped public record. Useful for academic work, publications, or anywhere verifiable disclosure matters. Become a member →
Starting fresh with ChatGPT. Choose how you want PLGen available — the workflow after setup is the same either way.
Install PLGen in your own Custom GPT once. It's there every session — no prompt to paste, no setup each time.
See install guide →The standalone PLGen Custom GPT isn't live yet. For now, open a new ChatGPT conversation and paste in the PLGen prompt — same behavior, just for this session.
Once you're set up via either path above:
plgen initOpens the session. PLGen records the date and tool automatically. No setup questions.
Write, research, draft — whatever you're making. PLGen observes contributions silently throughout the session.
plgen generatePLGen closes the session and produces your label. It'll ask you to confirm the contribution split. You review and approve — the final number is yours.
Registration gives your label a permanent ID and timestamped public record. Useful for academic work, publications, or anywhere verifiable disclosure matters. Become a member →
You're starting fresh. PLGen's command set works natively in Claude and ChatGPT — for other tools, use the manual prompt approach.
Using Miro, Notion, Canva, or another tool with AI built in? See the embedded tools guide →
At the start, tell your AI: "We're using Provenance Label standards for this session. Track our contributions as we work."
Work normally. The AI will have context to estimate contributions at the end.
Use the prompt on the embedded tools page to generate a properly formatted label. Review the split and adjust if needed.
Registration gives your label a permanent ID and timestamped public record. Become a member →
PLGen's session tracking and commands work natively in Claude and ChatGPT. Switching means less manual work at the end.
You're already working with AI — no need to switch tools. Paste the prompt below at the end of your session. That's it.
The estimation process often surfaces where your contribution actually lives: the research questions, the judgment calls, the edits. If the work doesn't feel like yours yet, this is a useful diagnostic.
Using an embedded tool like Miro, Notion, or Canva instead of a chat interface? See the embedded tools guide →
Think honestly: who initiated the ideas? Who made the key decisions? What percentage of what's on the page came from you versus the AI? You're not auditing — you're making a good-faith estimate. Write it down before moving to the next step.
Fill in your name, today's date, and the split you estimated. Paste it directly into the AI conversation you've been working in — Claude, ChatGPT, or anything else with a chat interface.
Based on our collaboration, generate a Provenance Label v1.2. My estimated overall split (including work before this session): [X]% human / [Y]% AI. @provenance 1.2 author: [my name] date: [today YYYY-MM-DD] human: [X] ai: [Y] tools: [AI name and version] note: [one plain sentence describing how we worked together] Requirements: - human + ai must equal 100 - Use my prior estimate as the baseline - Be honest, not flattering - Output only the label block above, ready to copy-paste
Your AI may suggest adjustments — the final number is yours. Once you're happy with it, your label is ready to use.
Registration creates a timestamped, permanent record of your disclosure. For academic or professional contexts, this is how you prove you disclosed — not just that you labeled. Become a member →
Want PLGen available for every session going forward, without pasting a prompt each time? See the install guide →
Your work is finished. Open any AI conversation, paste the prompt below with your split estimate, and you're done.
Used Miro, Notion, Canva, or another embedded tool? See the embedded tools guide →
Think honestly: who initiated the ideas? Who made the key decisions? Who edited, cut, and shaped the final output? You're not auditing — you're making a good-faith estimate.
Open any AI conversation — Claude, ChatGPT, or anything else — and paste the prompt below. Fill in your split estimate, name, and the date the work was completed.
Generate a Provenance Label v1.2 for completed work. My estimated split: [X]% human / [Y]% AI. @provenance 1.2 author: [my name] date: [completion date YYYY-MM-DD] human: [X] ai: [Y] tools: [AI name and version] note: [one plain sentence describing how you worked together] Requirements: - human + ai must equal 100 - Use my estimate above as the split - Be honest, not flattering - Output only the label block above, ready to copy-paste
Your AI may refine the wording of the note — the split is yours to confirm. Once approved, the label is ready.
For finished academic or professional work, registration is how the disclosure becomes verifiable — a timestamped public record, not just a label you added. Become a member →