While saving entire conversations preserves context and history, sometimes you need quick access to specific outputs—a perfect component, a well-crafted function, an elegant solution—without wading through the full conversation. CEO.ai's output saving feature lets you bookmark individual agent responses, creating a searchable library of reusable code, solutions, and insights.
Understanding Outputs vs Conversations
Saved Conversation
- Complete dialogue between you and agent
- Multiple exchanges (prompts and responses)
- Full context preserved
- Can be continued from any save point
Best for:
Understanding process, continuing work, learning
Saved Output
- Single agent response
- Standalone artifact
- Just the solution, not the discussion
- Cannot be continued directly
Best for:
Quick reference, code reuse, building libraries
Why Save Individual Outputs?
Quick Access
- • No need to open full conversation
- • Jump straight to the code or answer
- • Faster retrieval for reference
Build Libraries
- • Collection of reusable components
- • Tested patterns and functions
- • Architectural templates
Share Solutions
- • Send relevant output to colleagues
- • Include in documentation
- • Provide examples in teaching
Organize by Type
- • All React components in one place
- • All API endpoints together
- • Testing patterns accessible
Saving Outputs During Conversations
Step 1: Identify the Output to Save
As you converse with an agent, review each response to identify outputs worth preserving:
Good Candidates
- ✓ Working code: Complete, functional components
- ✓ Comprehensive explanations: Architectural overviews
- ✓ Reusable patterns: Design patterns, templates
- ✓ Reference material: API documentation
You Might Skip
- ✗ Incomplete responses: Partial solutions needing follow-up
- ✗ Highly specific: One-off solutions with no reuse
- ✗ Failed attempts: Solutions that didn't work
Step 2: Save the Output
When you identify an output worth preserving:
-
1
Locate the Save Output button
At the bottom of the agent's response
-
2
Click Save Output
Preserves this specific response
-
3
See confirmation
Output immediately available in your Outputs library
What gets saved:
- Complete text of agent's response
- Metadata: agent, type, timestamp
- Output ID for referencing
What doesn't get saved:
- Your prompt that generated it
- Other outputs from same conversation
- Conversation context
Step 3: Download as RTF (Optional)
In addition to (or instead of) saving within the platform:
Click the Download RTF button
Downloads as Rich Text Format (.rtf) file that opens in Word, Google Docs, or most text editors
Use RTF downloads when:
- Local backup needed: Important code stored locally
- External documentation: Including in project docs
- Offline access: Reference without internet
- Integration: Importing into other systems
💡 Pro tip:
Do both—save within CEO.ai for easy browsing AND download RTF for local backup.
Retrieving Saved Outputs
Accessing the Outputs Library
Navigate to the Outputs tab
From Dashboard or main navigation, click Outputs to view your library.
What you'll see:
- Table of all saved outputs
- Multiple columns with output information
- Filter options at the top
- Loading indicator if you have many outputs
Note: If you have many saved outputs, initial load may take a moment. A loading indicator shows progress. Use filters to narrow results for faster loading.
Output Table Columns
Creator Agent
The agent that generated this output
Why this matters: Understand the specialization, find all outputs from specific agent, assess based on expertise
Output ID
Unique identifier (e.g., out_7k2m9n4x)
Why this matters: Reference in documentation, share with team, troubleshoot with support, create direct links
Agent Type
Architect or Executor designation
Why this matters: Identify if output is high-level design or implementation, filter appropriately
Last Updated
When this output was saved (e.g., "5 minutes ago")
Why this matters: Find recent work quickly, identify outdated outputs, track productivity
Viewing Options
For each output in the table, you have two viewing options:
Quick View
Output appears in popup/modal without leaving list
Use Quick View when:
- • Browsing multiple outputs quickly
- • Verifying which output you need
- • Copying small snippets
- • Quick reference checking
Features: Read full output, copy to clipboard, close and return to table
View (Full Screen)
Opens output in dedicated screen with full features
Use Full View when:
- • Reading lengthy output carefully
- • Copying large code blocks
- • Need full formatting/syntax highlighting
- • Downloading or sharing
Features: Complete formatting, syntax highlighting, download, share, possibly link to original conversation
Filtering and Searching Outputs
At the top of the Outputs table, you'll find filter boxes that provide live, type-ahead filtering:
Type-Ahead Filters
Filter by Creator
Type agent names—results filter as you type
Type: React
→ Shows outputs from agents with "React" in name
- ▸ Find outputs from specific agent
- ▸ Find outputs by technology
Filter by Content
Searches within output text—live filtering
Type: authentication
→ Shows outputs containing "authentication"
- ▸ Find specific implementations
- ▸ Search by pattern or functionality
💡 Combine Both Filters
Example: Filter by Creator: "React TypeScript" + Content: "form validation" = Form validation outputs from React TypeScript agents
Common Output Retrieval Workflows
Quick Code Reference
Scenario: Need to remember how you implemented a pattern
- 1. Navigate to Outputs tab
- 2. Filter by Content: pattern name
- 3. Quick View matching outputs
- 4. Find the right one
- 5. Copy code
- 6. Use in current project
⏱️ Time: 30 seconds to 2 minutes
Building from Existing Component
Scenario: Create new component based on saved one
- 1. Navigate to Outputs tab
- 2. Filter by Creator: "React TypeScript"
- 3. Filter by Content: "button component"
- 4. View output (full screen)
- 5. Copy the code
- 6. Start new conversation with agent
- 7. Prompt: "Modify this to [requirements]: [paste]"
- 8. Save new output when done
⏱️ Time: 5-10 minutes
Comparing Approaches
Scenario: Decide between different implementation strategies
- 1. Navigate to Outputs tab
- 2. Filter by Content: "state management"
- 3. Quick View multiple outputs
- 4. Open 2-3 interesting ones in full View (new tabs)
- 5. Compare approaches side-by-side
- 6. Choose best for current context
⏱️ Time: 10-15 minutes
Troubleshooting
Outputs Not Loading
If table is empty or stuck loading:
- • Check internet connection
- • Refresh the page
- • Try filters (may help load subset)
- • Contact support if persistent
Can't Find Saved Output
Troubleshooting:
- • Verify you clicked Save Output (not Save Conversation)
- • Try different filter combinations
- • Check if you're in correct account
- • Search by output content you remember
Filters Not Responding
If type-ahead filtering doesn't work:
- • Refresh page
- • Clear filters and try again
- • Try different search terms
- • Report issue if persistent
Frequently Asked Questions
What's the difference between saving output and saving conversation?
Saving output preserves just that single response. Saving conversation preserves the entire dialogue up to that point.
Do saved outputs consume storage quota?
Depends on your plan—check platform documentation. Most plans offer generous output storage.
Can I edit saved outputs?
No, outputs are snapshots. You'd need to start a new conversation to modify and save a new version.
Related Documentation
Saving Conversations
Save complete dialogues for context
Retrieving Conversations
Access full conversation history
Creating Agent Conversations
Generate outputs worth saving
Finding Your Agents
Select agents that produce great outputs
Build Your Library Strategically
Every saved output is a reusable asset—a component, a pattern, a solution you might need again. Use the Save Output button liberally when you encounter quality work, organize with consistent filtering strategies, and over time you'll create a personal library of AI-generated solutions that accelerates all your future work. Combined with RTF downloads for backup, you're building a knowledge base that's both searchable online and accessible offline.