AI DAM Librarian

A prototype AI agent that looks after a digital asset library. It writes alt text and metadata, keeps tags on an approved vocabulary, flags duplicates and rights problems, and works only within the limits a person sets. The AI suggests; the person decides.

Start with the mock DAMOpen the dashboard

What you can try today

  1. Open the mock DAM, a pretend asset library full of typical problems: missing alt text, messy tags, duplicates and expired licenses. Press Drop in a new asset.
  2. Open the dashboard. Within a few seconds the agent picks up the new asset: confident fields are written, anything uncertain waits in the Review queue.
  3. In the review queue, approve, edit or reject what the AI wrote. Your edits are logged as corrections.
  4. In Agent controls, change the autonomy level and confidence threshold, run the agent on a whole folder, or press Stop agent now.
  5. Every action is in the Activity log with before and after values, and can be undone.

How it works

  1. Watch

    New or changed assets in the DAM start the agent on their own. No manual upload.

  2. Analyze

    AI writes alt text for screen readers and product metadata for search, with a confidence score for each field.

  3. Check

    Tags are matched to the approved vocabulary. Duplicates, missing rights and expiring licenses get flagged.

  4. Route

    The autonomy level and confidence threshold a person sets decide what happens next.

  5. Review

    Confident results are written back. Uncertain or flagged items wait for a person to approve, edit or reject.

  6. Audit

    Every action is recorded with before and after values, and any of it can be undone.

Workflow diagram: the agent watches, analyzes, checks and routes each asset; confident results are applied, uncertain ones go to a person for review, and every action is recorded in an audit log
The agent loop. Confident results are applied; anything uncertain or flagged waits for a person.