Product Prompt

Product Prompt: No-Code Prompt Engineering for LLMs

What is Product Prompt?

Product Prompt is a no-code platform designed to simplify and democratize the process of prompt engineering for Large Language Models (LLMs). It allows anyone on a team, not just developers, to experiment, test, and optimize GPT prompts using their own product data.

How does Product Prompt work?

Product Prompt streamlines the prompt engineering workflow with a three-step process:

1. Upload Your Data: Users can upload their data in JSON format, setting it up once for use in LLM prompts. This data can include user characteristics, feature details, and other relevant information.
2. Experiment with Prompts: The platform provides a templating language that enables users to easily modify the text instruction for the LLM and decide which product information to include and how to organize it. Users can use variables (e.g., {{user.name}}, {{user.teamSize}}) to dynamically insert data into their prompts.
3. Find the Perfect Output: Users can run their prompts and view the output. The platform automatically saves every prompt parameter with each run, allowing for easy experimentation and iteration.

Key Features and Benefits:

• No-Code Interface: Enables non-developers to participate in prompt engineering.
• Data Templating: Simplifies the process of incorporating product data into prompts.
• Experiment Tracking: Auto-saves prompt parameters and results for easy comparison and iteration.
• Collaboration: Allows team members to share prompt setups and build on each other's work.
• Privacy: Facilitates prototyping without exposing sensitive customer data by replacing it with dummy information.

Use Cases:

Product Prompt can be used in various scenarios, including:

• Personalized Recommendations: Generating personalized feature recommendations based on user characteristics and usage patterns.
• Customer Support: Automating customer support responses with relevant product information.
• Marketing: Creating targeted marketing messages based on user segments.
• Feature Discovery: Helping users discover and adopt new features.

Example:

Imagine you want to recommend new features to users based on their current usage. With Product Prompt, you can upload user data (e.g., name, team size, used feature, industry) and available feature data (e.g., name, description). Then, you can create a prompt like this:

You are an expert account manager. Write one paragraph message recommending which other features the user should try.

The user characteristics:
- Name: {{user.name}}
- Team size: {{user.teamSize}} people
- Used feature: {{user.feature}}
- Industry: {{user.industry}}

Features available to the user:
{{#each availableFeatures}}
- Feature: {{this.name}}
Description: {{this.description}}
{{/each}}

Product Prompt will automatically insert the user's data into the prompt and generate a personalized recommendation.

Pricing:

Product Prompt offers a free trial with no credit card required. The premium plan is priced at $29/month.

Why is Product Prompt important?

In the age of LLMs, prompt engineering is becoming an increasingly critical skill. Product Prompt empowers teams to leverage the power of LLMs without requiring specialized coding knowledge. By making prompt engineering accessible to everyone, Product Prompt can help businesses unlock new opportunities for innovation and growth.