Tool Calling Agent
Agent for generating product descriptions; prompt instructs LLM to act as a copywriter and avoid generic phrases.
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 of AI. Ideal for marketers and online stores to quickly generate engaging product copy that converts.
Flows
How the AI Flow works
- User Enters Product Info.
- User provides product details via chat or button interface.
- Gather Market Data.
- Automated tools search Google, Reddit, YouTube, and provided URLs for relevant product information.
- AI Composes Description.
- An AI agent processes gathered data to craft a detailed, engaging, and SEO-friendly product description.
- Display Result.
- The generated product description is shown to the user in the chat interface.
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.
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.
Button Widget
The Button Widget component in FlowHunt transforms text or input into interactive, clickable buttons within your workflow. Perfect for creating dynamic user interfaces, collecting user choices, and improving engagement in AI-driven chatbots or automated processes.
Chat Opened Trigger
The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.
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.
Tool Calling Agent
Explore the Tool Calling Agent in FlowHunt—an advanced workflow component that enables AI agents to intelligently select and use external tools to answer complex queries. Perfect for building smart AI solutions that require dynamic tool usage, iterative reasoning, and integration with multiple resources.
GoogleSearch Component
FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.
Reddit Tool
Effortlessly chat with any Reddit thread using FlowHunt's AI Agents. Instantly summarize discussions, get source links, and explore topics without hours of manual searching.
YouTube Search Tool
FlowHunt's AI-driven YouTube Search Tool offers personalized video and creator recommendations. Go beyond standard YouTube searches and let AI agents find the best creators and content for your interests.
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.
Flow description
Purpose and benefits
Purpose
The Product Description Generator is designed to automate the creation of compelling, accurate, and optimized product descriptions for e-commerce stores. By leveraging a combination of live data retrieval tools and advanced language generation, it helps scale the process of product copywriting, saving time and improving the consistency and quality of product listings.
How the Workflow Operates
1. User Interaction
- When a user opens the chat interface, they are greeted with a welcome message and presented with several sample product buttons (such as “Iphone 16” or “Porsche 911 GT3”) to quickly try out the tool.
- Users can also input their own product details or provide a URL for the product they wish to describe.
2. Data Collection from Multiple Sources
To ensure the generated descriptions are rich, up-to-date, and relevant, the workflow gathers information from several key online sources:
| Source | Description |
|---|---|
| Searches for relevant web content and product details. | |
| Finds community discussions, reviews, and user feedback. | |
| YouTube | Looks up video reviews, unboxings, and demonstrations. |
| URLs | If a product URL is provided, fetches content directly. |
These tools are orchestrated in the background, automatically retrieving, summarizing, and structuring information about the product.
3. Centralized Agent for Description Generation
- The core of the workflow is an AI-powered agent configured as a skilled copywriter.
- It receives the user’s input, chat history (to maintain context), and all the gathered data from the tools above.
- The agent is instructed to “cut to the point,” avoiding generic marketing clichés and focusing on concrete, enticing, and relevant product information.
4. Output Delivery
- Once the product description is generated, it is displayed back to the user in the chat interface.
- The chat retains context and history, allowing for follow-up requests or iterations.
Key Components Summary
| Component | Functionality |
|---|---|
| Chat Input/Output | Manages user interactions and displays generated descriptions. |
| Button Widgets | Offer sample product options for quick demonstration. |
| Data Retrieval Tools | Google Search, Reddit Tool, YouTube Search, URL Retriever. |
| Tool Calling Agent | Integrates data and generates the final product description. |
| Chat History | Maintains context for coherent multi-turn conversations. |
Benefits & Use Cases
- Scalability: Automate the creation of large numbers of unique product descriptions across different platforms.
- Accuracy: Pulls the latest information from trusted sources, ensuring up-to-date content.
- SEO Optimization: By referencing real-world product discussions and reviews, descriptions can be tailored for better search visibility and engagement.
- Consistency: Maintains a high and uniform standard of copywriting, reducing reliance on individual copywriters.
- Efficiency: Greatly speeds up content generation, freeing up human resources for more strategic tasks.
Example Use
- An e-commerce manager wants to launch new products but lacks time for manual copywriting.
- By inputting a product name or URL into the workflow (or selecting a sample), the manager receives a professionally written description synthesized from diverse and reputable sources.
- The manager can then quickly review, edit if needed, and publish the content.
Conclusion
This workflow provides a robust, automated solution for generating high-quality product descriptions. By combining multiple information sources and a focused copywriting agent, it empowers businesses to efficiently scale their product content creation while maintaining quality and relevance.
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