AirPrompt

AirPrompt Overview

AirPrompt is a prompt testing and experimentation tool designed to quickly evaluate AI prompts across multiple models and data inputs. It enables you to store, iterate on, and compare prompts without needing API keys. The platform supports both closed-source and open-source models and allows uploading multiple data inputs at once for efficient benchmarking and refinement.

How AirPrompt Works

1. Define prompts and inputs. Create or paste prompts and prepare multiple data inputs to test against.
2. Choose models. Select from a range of closed-source and open-source models to evaluate performance.
3. Run tests. Execute prompts across the chosen models and data inputs to generate results.
4. Iterate and store. Save iterations, compare outputs, and refine prompts over time without reconfiguring API keys.

AirPrompt emphasizes quick testing, multi-model comparison, and prompt iteration workflows for AI development and experimentation.

Key Capabilities

• No need to enter API keys; streamlined onboarding and testing
• Support for both closed-source and open-source models
• Upload multiple data inputs simultaneously for batch testing
• Store, manage, and iterate on multiple prompts and experiments
• Cross-model prompts benchmarking to identify best-performing configurations
• Quick switching between models and inputs to compare results side-by-side

How to Use AirPrompt

1. Create or paste a prompt. Define the instruction you want the AI to follow.
2. Upload data inputs (multiple). Add text, prompts, or datasets you want to test with.
3. Select models. Pick one or more models (closed-source and/or open-source).
4. Run tests. Execute the prompt against all combinations of models and inputs.
5. Evaluate and iterate. Review outputs, tweak prompts, and re-run tests to improve results.

Safety and Best Practices

• Use for experimentation and benchmarking purposes.
• Ensure inputs do not violate privacy or legal restrictions when testing with real data.
• Validate outputs ethically and responsibly, especially when comparing model capabilities.

Core Features

• Multi-model prompt testing without API keys
• Support for both closed-source and open-source models
• Batch data input uploads for efficient testing
• Prompt storage and iterative refinement workflow
• Side-by-side comparison of model outputs
• Flexible input and prompt management for rapid experimentation