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Working with Artifacts

Artifacts are the primary output of the platform, representing generated content and research results. This guide covers how to create, manage, and use artifacts effectively.

Artifact Types

The platform supports several artifact types:

  1. Documents
  2. Research reports
  3. Blog posts
  4. Operational guides

  5. Email drafts

  6. Data

  7. Research findings
  8. Web scraping results

  9. Structured data sets

  10. Media

  11. Images
  12. Videos

  13. Audio files

  14. Code

  15. Scripts
  16. Configuration files
  17. Templates

Artifact Lifecycle

  1. Creation
  2. Generated by agents during task execution
  3. Created manually through the artifact editor

  4. Imported from external sources

  5. Storage

  6. Stored in the vector database
  7. Version controlled

  8. Searchable by content and metadata

  9. Usage

  10. Attached to tasks and projects
  11. Referenced in conversations

  12. Used as input for other tasks

  13. Management

  14. Edit and update content
  15. Add metadata and tags
  16. Delete when no longer needed

Creating Artifacts

Automatic Creation

Artifacts are automatically created when: - Research tasks complete - Documents are generated - Data is collected

Example: 

[Research Agent] I've completed the research. Here's the report:
[Attached: Research Report - AI Trends 2025]

Manual Creation

  1. Open the Artifacts panel
  2. Click the "+" button
  3. Fill in the artifact details:
  4. Type (document, data, media, code)
  5. Title
  6. Content
  7. Metadata
  8. Save the artifact

Managing Artifacts

Viewing Artifacts

  • Browse through the Artifacts panel
  • Search by title, content, or metadata
  • Filter by type or project

Editing Artifacts

  1. Select an artifact
  2. Click the edit button
  3. Modify content or metadata
  4. Save changes

Deleting Artifacts

  1. Select an artifact
  2. Click the delete button
  3. Confirm deletion

Best Practices

  1. Organize with Metadata
  2. Add relevant tags
  3. Include project and task references

  4. Set expiration dates for temporary artifacts

  5. Version Control

  6. Create new versions instead of overwriting
  7. Add version notes

  8. Reference previous versions when needed

  9. Reuse Artifacts

  10. Reference existing artifacts in new tasks
  11. Use templates for common document types

  12. Share artifacts across projects

  13. Security

  14. Mark sensitive artifacts as private
  15. Set appropriate access controls
  16. Regularly review artifact permissions

Example Workflow

  1. Research task completes: 

    [Research Agent] Research complete. Created artifact: AI Trends Report

  2. Review artifact:

  3. Open Artifacts panel
  4. Search for "AI Trends Report"

  5. Review content and metadata

  6. Use artifact:

  7. Attach to project documentation
  8. Reference in conversations

  9. Use as input for content generation

  10. Update artifact:

  11. Add new research findings
  12. Update metadata
  13. Create new version