CEO.ai

Turning Project Outputs into Conversations

Refine, extend, and perfect individual task outputs by seamlessly transitioning into focused conversations with the agents that created them.

MultiTask projects deliver complete applications through coordinated agent work, but sometimes individual task outputs need refinement, extension, or customization. Rather than accepting outputs as-is or starting from scratch, CEO.ai lets you seamlessly transition any task output into a focused conversation with the agent that created it—picking up right where the project left off.

Why Continue from Project Outputs

Refine Without Rebuilding

The output is 90% perfect—just needs minor tweaks:

  • • Adjust styling
  • • Modify behavior
  • • Add edge case handling
  • • Fix minor bugs

Extend Functionality

Build on delivered work:

  • • Add features not in original spec
  • • Enhance existing implementation
  • • Incorporate new requirements
  • • Expand scope

Customize for Your Context

Adapt to your specific needs:

  • • Apply your coding standards
  • • Integrate with existing codebase
  • • Match your design system
  • • Use your preferred libraries

Learn and Understand

Get explanations:

  • • Why agent chose specific approach
  • • How code works
  • • Alternative implementations
  • • Best practices behind decisions

How to Start a Conversation from a Task

1

Navigate to Your Project

Access your completed or in-progress MultiTask project:

  • • Go to the Workflow tab (or Projects)
  • • Find your project in the list
  • • Click to open the project details
2

Locate the Task Table

The task table displays all project tasks with columns for:

  • • Task description
  • • Assigned agent
  • • Completion status
  • • Chat button ← This is what you need
3

Find Your Task

Identify the task output you want to refine by reading task descriptions and checking completion status.

4

Click the Chat Button

In the task's row, locate the chat button (speech bubble icon) and click to initiate the conversation.

5

Conversation Dialog Opens

A new dialog opens with pre-populated context:

  • Original task assignment - The spec given to the agent
  • Agent's original output - The delivered solution
  • Your input box - Ready for your follow-up request
6

Enter Your Follow-Up Request

Describe what you want to change, add, fix, or learn about the output.

7

Continue the Conversation

The agent responds with updated code, explanations, or suggestions. Iterate until perfect.

Effective Continuation Strategies

1

Incremental Refinement

Make small, focused requests one at a time

Example progression:

  1. Request 1: "Add icon support with optional 'icon' prop"
  2. Request 2: "Add 'fullWidth' prop for 100% width"
  3. Request 3: "Add tooltip support using our Tooltip component"

✓ Why this works: Each change is clear, easy to verify, and builds on previous work

2

Bug Fixing Workflow

Identify and fix issues systematically

  1. Request 1: "I found three issues: 1) Button doesn't submit form, 2) Focus ring barely visible, 3) Hover effect persists when disabled"
  2. Request 2: "The submit issue is fixed but now it's submitting twice. Debug and fix."
  3. Request 3: "Perfect, now add visual test cases for each variant"
3

Adaptation to Your Codebase

Integrate with existing systems

  1. Request 1: "Use our useTheme hook from @/hooks/useTheme instead of hardcoded colors"
  2. Request 2: "Wrap click handler with analytics: trackEvent('button_click', { variant, label })"
  3. Request 3: "Add error boundary using our ErrorBoundary component"

Best Practices

Be Specific

❌ Vague: "Make it better"

✓ Specific: "Memoize variantClasses and use React.memo"

Reference Specifics

  • ✓ "In the onClick handler, add debouncing"
  • ✓ "The variantClasses object on lines 8-12: add 'ghost' variant"

Test and Verify

  • • Copy code and test in your environment
  • • Identify specific issues before requesting fixes

Know When to Stop

  • • Code works as needed
  • • Passes your tests
  • • Quality is acceptable

Troubleshooting

Chat Button Not Appearing

Possible reasons:

  • • Task not yet completed
  • • Scroll horizontally in table to reveal button
  • • Refresh page or try different browser
Conversation Opens but No Context

If pre-populated content is missing:

  • • Report bug to support
  • • Manually copy task description and output to conversation

Frequently Asked Questions

Does starting a conversation from a task consume credits?

Yes, conversations consume credits like any agent interaction and continue to earn for another user if that's their agent.

Will changes in the conversation update the original project output?

Not currently, these conversations are separate and you would need to manually commit these improvements to your project. If this is a feature you'd like to see, let us know.

Can I have multiple conversations from the same task?

Yes, by using the conversation cloning feature under the Conversations tab.

How long can these conversations go?

Subject to same context limits as regular conversations (e.g., 200,000 tokens).

MultiTask Projects

Understanding the projects you're refining

Creating Agent Conversations

General conversation features

Saving Conversations

Preserve your refinement work

Rating Project Outputs

Rate original and improved outputs

Don't Settle for "Good Enough"

Every task output is a conversation waiting to happen. When a component is 90% perfect, click that chat button and spend five minutes refining it to 100%. The agent has the context, you have the vision—together, through conversation, you create exactly what you need. Transform project outputs from "delivered" to "perfected" with just a few thoughtful exchanges.