Using FloatPrompt Across AI Models
Write prompts once, use them everywhere. FloatPrompt makes your prompts portable across Claude, GPT, Gemini, and other AI models.
The Portability Problem
Every AI model has its own prompting quirks. A prompt optimized for Claude might produce mediocre results on GPT, and vice versa. Teams that use multiple models (or switch between them) waste time adapting prompts.
FloatPrompt addresses this by creating a portable prompt format that adapts to the target model's strengths. Instead of writing model-specific prompts, you write one FloatPrompt that automatically adjusts its structure, tone, and formatting for each model.
The key insight: most prompt variation between models is structural (XML tags for Claude, markdown for GPT) rather than semantic. FloatPrompt handles the structural translation so you focus on the content.
How FloatPrompt Works
FloatPrompt's approach to cross-model prompting.
Write your prompt in FloatPrompt syntax
Use a model-agnostic format that captures your intent: role, context, instructions, and output format. FloatPrompt syntax is simple markdown with a few conventions for model-specific adaptations.
Specify the target model
When executing, specify which model you're targeting. FloatPrompt translates your prompt to that model's preferred format — XML tags for Claude, system messages for GPT, structured format for Gemini.
Use the generated prompt
The output is a model-optimized prompt ready to use. The semantic content is identical; only the structural formatting changes. This ensures consistent results regardless of which model you use.
Practical Usage
Team Prompt Libraries
Create a shared library of FloatPrompts for your team. Everyone uses the same prompts regardless of their preferred AI tool. This ensures consistent output quality across the organization.
A/B Testing Across Models
Run the same FloatPrompt across different models to compare output quality. The structural translation ensures you're testing the models, not the prompt formatting.
Future-Proofing
When new models launch, your existing FloatPrompts work immediately. No need to rewrite your entire prompt library — FloatPrompt adds support for new models as they appear.
