We’ve been experimenting with a more controllable way of prompting, which led us to build Nudge - a better way to write type-safe prompts for TypeScript AI applications.

Nudge lets you define prompts via a TypeScript builder API, then uses a CLI tool to generate the final system prompts. You describe intent structurally, not by tweaking wording, caps, or repetition. Instructions can be “nudged” with a numeric strength instead.

Prompts support:

- type-safe variables

- optional blocks toggled at runtime

- multiple variants for A/B testing

Because prompts are structured, parts are easy to reuse across agents. Prompts can also be tested and iteratively improved using an LLM based on failing test cases.

This is a project Joshua Knauber and I have been working on - would love feedback.

  https://genius.com/Monty-python-nudge-nudge-annotated

  https://www.youtube.com/watch?v=ona-RhLfRfc