Polite follow-up email
WritingA warm, concise nudge after no reply.
Write a polite follow-up email to {{recipient}} about {{topic}}. I last reached out {{when}} and haven't heard back. Keep it under 120 words, friendly but not pushy, and end with one clear ask.
Rewrite for clarity
WritingTighten any passage without losing meaning.
Rewrite the following so it's clearer and more concise, keeping my voice. Remove filler and passive voice, but don't make it robotic:
{{paste your text}}
Blog post outline
WritingA structured outline with hooks and headings.
Create a detailed blog post outline on {{topic}} for {{audience}}. Include a hook, 4–6 section headings with one-line summaries, and a strong closing CTA.
Explain this code
CodeA line-by-line walkthrough in plain English.
Explain what this code does, step by step, and call out anything risky or non-obvious:
```
{{paste your code}}
```
Debug an error
CodeFind the root cause from an error message.
I'm getting this error:
```
{{paste the error}}
```
Here's the relevant code:
```
{{paste the code}}
```
What's the root cause and the smallest fix?
Write unit tests
CodeCover the happy path and the edge cases.
Write thorough unit tests for the function below using {{framework}}. Cover the happy path, boundary values, and at least two failure cases:
```
{{paste your function}}
```
Refactor for readability
CodeCleaner structure, same behaviour.
Refactor this for readability and maintainability without changing its behaviour. Explain each change briefly:
```
{{paste your code}}
```
Summarise a document
AnalysisKey points plus the one thing that matters.
Summarise the text below in 5 bullet points, then add a one-sentence 'bottom line'. Flag anything that needs a decision:
{{paste the document}}
Pros & cons decision
AnalysisA balanced table and a recommendation.
Help me decide between {{option A}} and {{option B}} for {{context}}. Give a pros/cons table for each, then a clear recommendation with the reasoning.
Questions to ask the data
AnalysisTurn a goal into the right metrics.
I want to understand {{goal}} from my {{dataset}} data. What are the 5 most useful questions to ask, and what metric answers each?
Explain like I'm new
LearningA clear analogy, then the real detail.
Explain {{topic}} to me as if I'm smart but completely new to it. Start with a simple analogy, then add the real detail, and end with one common misconception.
Build a study plan
LearningA realistic schedule with milestones.
Create a {{timeframe}} study plan for learning {{subject}}. Assume I have {{hours}} per week. Include weekly milestones and a way to check my progress.
Quiz me
LearningActive recall, one question at a time.
Quiz me on {{topic}}. Ask one question at a time, wait for my answer, then tell me if I'm right and explain why before the next question.
Turn notes into actions
ProductivityDecisions, owners, and next steps.
Turn these messy meeting notes into a clean summary with decisions, action items (with owners), and open questions:
{{paste your notes}}
Prioritise my week
ProductivitySort a task list by impact and effort.
Here's my task list for the week:
{{paste your tasks}}
Sort them by impact vs. effort, suggest what to do first, and flag anything I should drop or delegate.
Landing page hero copy
MarketingA headline, subhead, and CTA that convert.
Write 3 options for landing-page hero copy for {{product}}, aimed at {{audience}}. Each option needs a headline, a one-line subhead, and a button label.
Social thread from an idea
MarketingA hook and a tight, scannable thread.
Turn this idea into a 6-post social thread with a strong opening hook and a clear takeaway in the last post:
{{your idea}}