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Artifacts, Python & media

Find persistent deliverables, distinguish scratch files, and inspect generated media.

Desktop source reviewed October 5, 2026

Deliverables and scratch work

AreaPurpose
Artifacts & DeliverablesPersistent outputs such as plots, CSV exports, reports, audio, and video in artifacts/.
Sandbox workspaceWorking scripts, intermediate data, and execution scratch files in .sandbox/.

The storage base follows the application’s resolved user-data/workspace configuration. Do not assume a packaged installation writes into its install directory. Ask for a final output to be saved as an artifact if you need it in the deliverables view.

Find and inspect a file

  1. Open Artifacts & Workspace.
  2. Use Refresh after a task creates or changes files.
  3. Choose Newest First, Oldest First, Name A → Z, Name Z → A, Largest First, or Smallest First.
  4. Open an image preview, code/file viewer, or audio/video player from the file card.

Date sorting uses the file’s modified timestamp. Video delivery supports byte-range responses for seeking; successful playback still depends on the file’s codec. Use the external-player option when the built-in player cannot decode a video.

Use Python for a verifiable output

Example task
In Agent mode, use Python to create a simple bar chart from values 3, 5, and 8. Save the PNG as an artifact and report the filename.
text

Python resolution prefers an explicit PYTHON_PATH, then a bundled runtime, then the sandbox virtual environment, then a system interpreter. Dependencies may need installation before a script can run.

Implementation sources

Paths in your AI Plate source checkout:

  • core/python-engine.ts
  • electron/main.ts
  • electron/ipc-bridge.ts
  • ui/app.js
  • ui/index.html
AI Plate product & developer documentation · Static reference, no API keys collected.