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Have your agent record video demos of its work with shot-scraper video

For builders of AI coding agents, this tool offers a lightweight way to automatically capture video evidence of agent actions, improving accountability and making it easier to share results with non-technical stakeholders.

Simon Willison··2 min readrelease
releaseHave your agent record video demos of its work with shot-scraper video
simonwillison.net

What happened

Simon Willison announced shot-scraper video, a new command in shot-scraper 1.10 that allows coding agents to record video demonstrations of web application interactions. The tool accepts a storyboard.yml file defining a routine and uses Playwright to capture a video of the agent's actions. In his announcement, Willison demonstrated the feature by recording a video of a Datasette bulk-insert feature still in development. The command supports authentication via cookie files and customizable viewport, cursor visibility, and JavaScript hooks for clipboard manipulation. This release addresses a need that Willison has previously highlighted: enabling AI coding agents to produce visual demos of their work, which can aid in debugging, documentation, and stakeholder communication. For developers building AI workflows, this provides a practical method to generate replayable records of agent behavior without manual screen recording.

Key takeaways

  • shot-scraper 1.10 introduces a video command that records web interactions via Playwright.
  • The routine is defined in a storyboard.yml file with server setup, viewport, and scenes.
  • An example video demonstrated a Datasette feature for bulk table creation from pasted data.
  • Authentication is supported via JSON cookie files.
  • Willison emphasizes the value of agents producing their own demos for transparency and debugging.

Why it matters

For builders of AI coding agents, this tool offers a lightweight way to automatically capture video evidence of agent actions, improving accountability and making it easier to share results with non-technical stakeholders.

This is an original editorial digest by AI Workflow Center. Full reporting at the source:

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