Understanding Sessions, Generations, and Assets

Rheos uses three key concepts for content creation: Sessions, Generations, and Assets. Understanding the difference helps you manage AI content effectively.

What Are Sessions?

A session is a workspace where you generate AI content:

• Each session is focused on a specific content type (Instagram visual, LinkedIn post, etc.)

• Sessions store your prompts, settings, and all generated images

• You can have multiple active sessions and return to previous ones

• Sessions can be active (currently working) or archived (completed)

Session types:

• Visual – AI image generation for Instagram

• Visual feed – Feed-style Instagram content

• Text – Text-based content generation

• Video – Video content (if available)

• Container – Multi-type sessions

Sessions help you organize generation work by project or content type.

What Are Generations?

A generation is an individual AI-created image within a session:

• Each time you click "Generate", you create one or more generations

• Generations are temporary and exist only within their session

• You can like, review, and select generations

• Generations include metadata (prompt, credits used, brand settings)

Generations are ephemeral—they may be cleared when sessions close or after time.

What Are Assets?

An asset is a permanent file in your Library:

• Assets can be uploaded files or saved generations

• They persist indefinitely in your Library

• Assets can be used across multiple posts and campaigns

• Asset types: image, video, audio, document, post

When you save a generation to Library, it becomes an asset.

The Lifecycle

Here's how these concepts work together:

1. Create a session – Start an AI generation workspace

2. Generate images – Create multiple generations with prompts

3. Like favorites – Mark promising generations for review

4. Save to Library – Convert selected generations into permanent assets

5. Use in posts – Add assets to social media posts

Why the Separation?

This three-tier system provides benefits:

Experimentation: Generate freely without cluttering your Library

Curation: Like and review before committing to permanent storage

Organization: Sessions group related generations; Library organizes assets by project/folder

Storage efficiency: Temporary generations don't consume storage until saved

Credit efficiency: You can generate many options, then save only the best

Session Management

To view your sessions:

1. Navigate to Studio

2. Look for the Recent Sessions section

3. Browse your active and archived sessions

Each session shows:

• Session name and type

• Number of generations created

• Associated projects and folders

• Posts created from the session

• Status (active or archived)

Accessing Generations

Generations exist in two places:

Within sessions:

• Open a session to see all its generations

• Both liked and unliked images appear

• Organized by generation order or settings

Liked Generations collection:

• Go to Studio > Liked Generations

• See all liked generations from all sessions

• Organized in one curated grid

• Ready for bulk actions (save, download, create post)

When Generations Become Assets

A generation becomes an asset when you:

1. Select it in a session or Liked Generations

2. Click Add to Library

3. Confirm the save

The generation is copied to Library as a permanent asset with a unique asset ID. The link is tracked via savedAssetId in the generation metadata.

Session vs. Library Organization

Sessions organize by creation workflow:

• Group generations from the same prompt/campaign work

• Temporary workspace for active projects

• Useful during the creation phase

Library organizes by content type and use:

• Permanent storage by project, folder, tags

• Organized for reuse and publishing

• Useful for long-term management

Use both: sessions for generation, Library for storage and reuse.

Practical Example

Scenario: Creating content for a product launch

1. Create a session named "Product Launch Visuals"

2. Link the session to your "Product Launch" project

3. Generate 20 images with various prompts

4. Like the 8 best generations

5. Go to Liked Generations and review all 8

6. Select the top 5 and bulk-save to Library

7. Organize saved assets into a "Product Launch" folder

8. Create posts using the saved assets

9. Archive the session when done

This workflow keeps your Library clean while allowing free experimentation.

Data Relationships

Understanding how these entities link:

• Sessions can be associated with projects, folders, and campaigns

• Generations belong to sessions and track session IDs

• Assets can reference their origin generation via savedAssetId

• Posts can link to assets, sessions, and projects

This bidirectional tracking helps you trace content from prompt to publication.

Best Practices

• Name sessions clearly – Use descriptive names like "Summer Campaign - Week 1"

• Link sessions to projects – Keep generation organized by campaign

• Like as you go – Mark promising generations during creation, not after

• Batch save – Use Liked Generations to review and save multiple images at once

• Archive completed sessions – Keep your active session list focused

• Save before closing – Always save critical generations to Library before archiving sessions

Next Steps

• Learn how to manage generations with likes and selections

• Discover saving AI generations to your Library

• Understand organizing content by project