AI Agent
Custom AI agent with user-defined backstory and goal, used to generate enhanced product descriptions for Shopify products.
Shopify Product Description Enhancer
This AI-powered workflow enhances Shopify product descriptions based on product name or URL provided by the user. It leverages LLMs, retrieves product content from Shopify and product URLs, and generates improved descriptions, streamlining product listing optimization for e-commerce stores.
Flows
How the AI Flow works
- User Input Collection.
- Collects the product name or URL from the user to specify which Shopify product's description needs enhancement.
- Retrieve Product Data from Shopify.
- Fetches detailed product information from the connected Shopify store for the specified product.
- Extract Content from Product URLs.
- Retrieves and processes product content from the provided URL to gather additional context and details.
- AI-Powered Product Description Enhancement.
- Uses an AI Agent with Anthropic's LLM to analyze and enhance the product description, utilizing both Shopify data and URL content.
- Present Enhanced Product Description.
- Displays the improved product description to the user for review or use in their store.
Prompts used in this flow
Components used in this flow
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
ChatInput
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
Get Products
The Get Products component connects your FlowHunt workflow to a Shopify store, allowing you to fetch and sort product listings directly from your integrated shop. Easily pull product data by criteria like best-selling, price, or relevance to streamline e-commerce automations and chatbot responses.
URL Retriever
Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.
Chat History Component
The Chat History component in FlowHunt enables chatbots to remember previous messages, ensuring coherent conversations and improved customer experience while optimizing memory and token usage.
LLM Anthropic AI
FlowHunt supports dozens of AI models, including Claude models by Anthropic. Learn how to use Claude in your AI tools and chatbots with customizable settings for tailored responses.
AI Agent
The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.
Chat Output
Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.
Flow description
Purpose and benefits
Workflow Description: Automated Shopify Product Description Enhancer
This workflow automates the process of enhancing product descriptions for Shopify stores by leveraging advanced AI and data retrieval tools. It is designed to take either a product name from a user’s Shopify store or a specific product URL, retrieve relevant product information, and generate an improved product description with the help of a specialized AI agent.
Overview of Workflow Steps
User Input Collection:
The workflow starts by collecting input from the user through a chat interface. The user can provide either a product name from their Shopify store or a product URL.Chat History Management:
The system retrieves the last 5 chat messages or up to 800 tokens from the chat history. This helps the AI agent maintain context, enabling follow-up questions and more coherent conversations.Product Data and Content Retrieval:
The workflow employs two retrieval mechanisms:- Shopify Product Retrieval: Connects to the Shopify store, allowing the agent to access product data. The product results are sorted by relevance to ensure the most pertinent information is used.
- URL Content Extraction: If a product URL is provided, the workflow extracts structured content from the page, focusing on headings (H1–H6), paragraphs, and product metadata (such as product schema). The content is cached for 2 weeks to optimize performance and reduce repeated network calls.
AI Model Integration:
The workflow uses the Anthropic Claude 3.5 Sonnet V2 language model, configured with a high maximum token limit (4000 tokens) and a deterministic temperature (0), to generate high-quality, consistent responses. This model powers both the agent’s general reasoning and its ability to call functions/tools.AI Agent Orchestration:
At the heart of the workflow is an AI agent, configured with the following properties:- Backstory: The agent acts as a marketer with 20 years of experience.
- Goal: The agent’s objective is to take the user input (product name or URL) and produce an enhanced description for the product.
- Tools: The agent is equipped with tools for Shopify product retrieval and URL content extraction, enabling it to gather and synthesize detailed product information.
- Contextual Awareness: The agent uses chat history for better conversation continuity and precision.
- Performance Parameters: The agent operates with set limits on execution time (300 seconds), maximum iterations (10), and request rate (100 RPM), ensuring efficiency and reliability.
Output Delivery:
The final enhanced product description is presented back to the user via a chat interface, maintaining a seamless conversational experience.
Data Flow Table
| Step | Input Source | Processing/Tool | Output Type |
|---|---|---|---|
| User Input | Chat Input | – | Product Name/URL (Message) |
| Chat Context | Chat History | – | Last 5 messages |
| Shopify Product Data | Shopify Store (Get Products) | Product Retriever Tool | Product Info (Tool) |
| URL Content Extraction | Provided URL | URL Retriever Tool | Product Page Content (Tool) |
| AI Model | – | Anthropic Claude 3.5 LLM | Language Model (ChatModel) |
| AI Agent | All above | LLM-powered Agent | Enhanced Description (Message) |
| Display Output | AI Agent Output | Chat Output | To User (Chat Message) |
Benefits and Use Cases
- Scalability: Automates the enhancement of product descriptions for multiple products, saving significant manual effort for store owners and marketers.
- Quality & Consistency: Utilizes an AI agent trained to think like an experienced marketer, ensuring descriptions are engaging and persuasive.
- Context-Aware: Maintains conversational context and can iteratively improve descriptions based on user feedback.
- Integration-Friendly: Combines Shopify data retrieval and web content extraction, making it suitable for varied product data sources.
- Efficiency: Incorporates caching and configurable limits to optimize response times and API usage.
Why This Workflow is Useful
This workflow is particularly valuable for e-commerce businesses looking to scale content creation and maintain high standards for product listings. By automating the process of researching and rewriting product descriptions, businesses can improve SEO, customer experience, and conversion rates without dedicating extensive manual resources. The use of AI ensures that every description is both original and tailored to the product, while the integration of chat history and retrieval tools keeps the workflow adaptable and user-friendly.
In summary:
This workflow empowers users to quickly enhance Shopify product descriptions through an intelligent, automated process that combines AI, data retrieval, and conversational context — all delivered in a scalable, efficient, and user-centric manner.
Let us build your own AI Team
We help companies like yours to develop smart chatbots, MCP Servers, AI tools or other types of AI automation to replace human in repetitive tasks in your organization.
Learn more
AI Product Description Generator
Create compelling, SEO-optimized product descriptions for e-commerce by gathering key information from Google, Reddit, YouTube, and product URLs with the help o...
3 min read
Shopify Product Pricing Research AI Agent
This AI-powered workflow helps Shopify merchants analyze competitor products, research market trends, and generate optimized pricing strategies. By combining Sh...
4 min read
AI Product Analysis Generator
Generate comprehensive product analyses using AI agents that gather and summarize product information, pricing, features, reviews, alternatives, and more from p...
4 min read