Product Prompt is a no-code prompt engineering tool designed to simplify the process of composing prompts with product data for generative AI. It is aimed at teams who need to prototype new generative AI features with LLMs. It allows users to upload data, experiment with prompts using a templating language, and find the perfect output. It also offers features like privacy setup to replace sensitive information, history tracking, and sharing capabilities.
What is Product Prompt?
How to use
- Upload your data in JSON format.
- Experiment with prompts using the templating language to include product information.
- Run the prompt and iterate to find the perfect output.
- Share your prompt setup with team members.
Core Features
- No-code prompt engineering
- Data uploading and management
- Prompt templating with product data
- Experiment tracking and history
- Team sharing and collaboration
- Privacy setup for sensitive data
Use Cases
- Prototyping new generative AI features with LLMs
- Experimenting with different prompts to optimize outputs
- Personalizing user experiences with AI
- Generating recommendations based on user data
FAQ
What is Product Prompt?
Product Prompt is a no-code prompt engineering tool designed to simplify the process of composing prompts with product data for generative AI.
How does Product Prompt help with prompt engineering?
It allows users to upload data, experiment with prompts using a templating language, and find the perfect output without needing to write code.
What are the key features of Product Prompt?
Key features include no-code prompt engineering, data uploading and management, prompt templating, experiment tracking, team sharing, and privacy setup.
How can I share my prompt setup with team members?
You can share your entire prompt setup with a single click. Team members can view the experiment history and results and build on top of it.
Pricing
Premium
$29/month
Try Product Prompt for free. No credit card required.
Pros & Cons
Pros
- No-code interface allows non-developers to participate in prompt engineering
- Simplifies the process of iterating on LLM prompts
- Enables fast prototyping and testing of prompts
- Offers privacy features to protect sensitive data
- Facilitates team collaboration and knowledge sharing
Cons
- Requires data to be in JSON format
- Templating language may have a learning curve
- Limited information on advanced features or customization options