Turns a short description into a concrete plan to design a prompt that migrates a working prompt from one model to another, with assumptions called out instead of silently guessed.
#prompt-that
Helps you design a prompt that handles long documents via chunked summarization quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design a prompt that enforces a consistent output schema across languages, with assumptions called out instead of silently guessed.
Helps you design a prompt that generates alternative phrasings for A/B testing quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design a prompt that handles ambiguous user intent gracefully, with assumptions called out instead of silently guessed.
Helps you design a prompt that enforces a word or token limit quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design a prompt that produces consistent formatting across many runs, with assumptions called out instead of silently guessed.
Helps you design a prompt that generates test cases from a specification quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design a prompt that compares two options with pros and cons, with assumptions called out instead of silently guessed.
Helps you design a prompt that asks clarifying questions before answering quickly, while still surfacing the open questions a real version of this work would need answered.
Turns a short description into a concrete plan to design a prompt that enforces a specific citation format, with assumptions called out instead of silently guessed.
Helps you design a prompt that resists prompt injection from user input quickly, while still surfacing the open questions a real version of this work would need answered.