Bullet FAQs

Question 1

What research principles does Bullet use for validation?

Accepted Answer

Bullet is founded on established cognitive psychology and UX research principles, including working memory capacity (Miller, Cowan), serial position effects (Ebbinghaus), eye-tracking studies (Nielsen Norman Group), and typography research. Each validation rule comes with research citations.

Question 2

How do I integrate Bullet into my workflow?

Accepted Answer

Bullet can be easily installed via npm for command-line usage. It also functions as an MCP (Model Context Protocol) server, enabling seamless integration with compatible tools like Claude Desktop for programmatic bullet list validation within your existing development or writing environment.

Question 3

What types of content can Bullet optimize?

Accepted Answer

Bullet is highly versatile, optimizing bullet lists for various contexts such as documents, presentations, and reference materials. It also supports 'sectioned mode' for long documents, allowing separate validation for multiple chapters or topics.

Question 4

What is Bullet and how does it improve bullet points?

Accepted Answer

Bullet is an AI-powered tool that validates and improves bullet point lists. It scores your lists (0-100) against 7 evidence-based rules from cognitive psychology and UX research, providing letter grades (A-F) with actionable feedback to enhance clarity and impact.

Question 5

What kind of feedback does Bullet provide?

Accepted Answer

Bullet provides an overall score, a letter grade, a summary, and specific 'top improvements' suggestions. It highlights errors and warnings, and offers detailed suggestions, all backed by research to help you understand and apply best practices effectively.

Bullet

Bullet

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례