📦 Other & Niche
Time Commitment
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
Currently, you dedicate approximately 5 hours per week to your open source project during evenings and weekends. With sponsorship providing financial stability, you could commit 20-25 hours per week—essentially making it a part-time job. This 4-5x increase would allow you to address the backlog of 47 open issues, implement requested features more quickly, and provide timely support to your community of 3,000+ users.
Right now, you're managing about 8 hours monthly squeezed between work obligations, which barely covers critical bugs and urgent PRs. Sponsorship would enable a shift to roughly 40 hours monthly—enough to actually plan features, write documentation, and engage meaningfully with contributors. The difference isn't just quantitative; consistent blocks of dedicated time would let you tackle complex architectural work that's currently impossible in fragmented evening sessions.
Your current volunteer commitment is approximately 6 hours per week, primarily on weekends. With sponsorship, you could increase this to 15-20 hours per week during dedicated weekday blocks. This represents a 150-250% increase in development time, enabling systematic feature development, comprehensive testing, and consistent maintenance cycles rather than reactive bug fixes.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
ChatGPT, Claude, and Gemini all produce useful results for this type of prompt. Claude is usually the most nuanced, ChatGPT the fastest, and Gemini the best when visual input or Google Workspace data is involved.
How to customize this prompt
Adapt the prompt to your specific use case. Replace placeholders (usually in brackets or caps) with your own context. The more detail you provide, the more precise the response.
Common use cases
- Use directly in ChatGPT, Claude, or Gemini
- Adapt to your specific project or industry
- Use as a starting point for your own custom prompt
- Compare across models to find the best fit for your case
- Share with your team as a standard workflow
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).