Templates

Premade prompt structures for reusable AI jobs

Key characteristics

  • With templates users jump straight to customizing details instead of writing boilerplate prompts from scratch

  • They simplify AI discovery through browsable starting points

  • They establish consistent prompt quality across users with varying AI experience

About

Template fills the input field with a prompt starter when you know the user's intent. This helps users skip the blank-page problem.

For example, a "Prepare a report" button might pre-fill the input with "Create a report for Myworkspace that describes..". User will have an easier time finishing the sentence rather than starting from scratch.

Templates also work as discovery tools. Present users with a selection so they can browse what the AI can do and pick the best template for the job

GitHub's "Draft with Copilot" button in the "Create sub-issue" menu fills the input with a started prompt when clicked.


GitHub offers an array of starting points for working with AI. Some tasks trigger quick actions, while others open a template selector.

Have a question or feedback?

Have a question or feedback?

If you’d like to expand this pattern, suggest improvements, or ask a question, feel free to reach out via mail.

If you’d like to expand this pattern, suggest improvements, or ask a question, feel free to reach out via mail.

Or email us at hello@studiolaminar.com

Sharable under CC-BY-NC-SA

About

Integrate Well AI documents best practices for adding AI-powered features and workflows to tools in ways that feel natural, solve real problems, and drive measurable business outcomes. No AI for AI's sake.

Sharable under CC-BY-NC-SA

About

Integrate Well AI documents best practices for adding AI-powered features and workflows to tools in ways that feel natural, solve real problems, and drive measurable business outcomes. No AI for AI's sake.

Sharable under CC-BY-NC-SA

About

Integrate Well AI documents best practices for adding AI-powered features and workflows to tools in ways that feel natural, solve real problems, and drive measurable business outcomes. No AI for AI's sake.