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Understanding Credit Usage

Every AI task performed in Runable consumes credits. The number of credits used depends on the complexity of the task, the AI models involved, and the computing resources required to complete it. Understanding how credits work can help you build more efficiently and reduce unnecessary retries.

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How Credit Usage Works

Think of credits as paying for computation—not individual prompts. A prompt that requires the AI to:
  • read many files
  • generate thousands of lines of code
  • produce high-quality images
  • render videos
  • analyze large datasets
will naturally consume more credits than a small UI update.

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What Affects Credit Usage?

Several factors influence how many credits a task consumes.

Task Complexity

Larger and more complex requests require more AI computation.

Files Modified

Updating many files typically consumes more credits than changing a single component.

AI Models

Different AI models require different amounts of computing power.

Images & Videos

Generating visual content generally requires more resources than generating text.

Reasoning

Tasks requiring deep analysis or planning may consume additional credits.

Retries

Multiple generations or repeated refinements consume additional credits.

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Credit Usage Examples

These examples are intended to illustrate relative complexity. Actual credit usage varies depending on the specific task and output.

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Why Did My Simple Request Use Many Credits?

A request may appear simple but require significant work behind the scenes. For example:
The AI might need to:
  • locate the timer implementation
  • understand component relationships
  • update state management
  • modify multiple files
  • rebuild affected UI
  • verify dependencies
Although the prompt is short, the underlying work can be substantial.

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Why Did the AI Stop Midway?

Some tasks require more credits than are currently available. If your available credits are exhausted during execution:
  • the task may stop before completion
  • the AI may request additional credits
  • partial results may still be available
This commonly occurs with:
  • large applications
  • video generation
  • long documents
  • complex research
  • multi-file refactoring

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Why Videos Use More Credits

Video generation is one of the most computationally intensive features available. It involves:
  • script generation
  • scene planning
  • image synthesis
  • animation
  • rendering
  • audio processing
  • subtitles
As a result, videos typically consume more credits than text or code generation.

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Why Large Applications Cost More

Building or modifying a large application may require the AI to:
  • analyze project architecture
  • understand dependencies
  • update many files
  • preserve existing functionality
  • generate new code
  • validate changes
The more context the AI needs to process, the more computation is required.

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Save Credits with Better Prompts

Specific prompts help the AI understand exactly what you need. Instead of:
Try:
Focused prompts often reduce unnecessary iterations and make the development process more efficient.

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Break Large Tasks into Smaller Steps

Instead of asking:
Try:
  1. Update Navbar
  2. Improve Dashboard
  3. Add Settings
  4. Optimize Mobile Layout
  5. Improve Performance
Smaller tasks are easier to review and generally produce more predictable results.

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Tips for Efficient Credit Usage

Be Specific

Detailed prompts reduce unnecessary retries.

Use Existing Context

Reference your current project instead of describing everything again.

One Feature at a Time

Smaller tasks are usually more efficient than large rewrites.

Review Before Regenerating

Improve your prompt before generating again.

Upload References

Reference images and files improve accuracy.

Avoid Rebuilding Entire Projects

Modify existing features whenever possible.

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Frequently Asked Questions

Credit usage depends on the amount of AI computation required—not simply the number of words in your prompt.
No.A short request can still require significant code generation or reasoning.
Your available credits may have been exhausted before the task completed.
Generally, yes.Video generation requires significantly more computational resources than text generation.
  • Write detailed prompts
  • Break large tasks into smaller steps
  • Avoid unnecessary retries
  • Use reference files when available

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Summary

Credit usage is determined by the amount of AI computation required to complete your request. Providing clear instructions, breaking large tasks into smaller steps, and reviewing results before regenerating can help you make the most of your available credits.
  • How Credits Work
  • Prompt Engineering Guide
  • AI Limitations
  • Image Generation
  • Common Mistakes