Glossary Article Style Definition
Defines the writing style for glossary articles using input and context.
# Writing style definition
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{input}
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AI Glossary Article Generator
Generate in-depth, SEO-optimized glossary articles by leveraging AI and real-time web research. This flow analyzes the top-ranking content and writing styles, expands related queries, retrieves and analyzes relevant URLs, and then creates a comprehensive, well-structured article tailored for your keyword.
Flows
How the AI Flow works
- User Provides Keyword.
- User enters a keyword or topic and optional details as input to start the glossary creation process.
- Query Expansion and Google Search.
- AI generates related search queries and retrieves top-ranking URLs and their content from Google for the topic.
- Keyword and Content Analysis.
- The flow analyzes collected web content for keyword frequency and writing style patterns from the leading articles.
- AI Article Generation.
- Leveraging analyzed data and writing styles, an AI agent generates a detailed, SEO-optimized glossary article with examples and use cases.
- Output and Display.
- The generated glossary article is presented to the user, ready for publishing or further use.
Prompts used in this flow
Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.
Generate Glossary Article Prompt
Prompt to generate a 3000-word detailed glossary article using related keywords for context.
Generate complex Glossary page to explain topic: {input}
Other pages ranking for keyword {input} use in their content also following keywords:
{context}
Generate glossary article 3000 words long with perfect structure expected for glossary article.
Glossary page should mainly answer questions "What is it", "How it is used", give examples of use, usecases.
Focus on detailed information. Don't use phrases like "In todays fast changing world...", "In today's complex...", "is a crucial step", "plays significant role", "fast-paced...", "pivotal role", "In the ever-evolving landscape of" or "In the realm of ...", always cut to the point without useless conclusions or intros.
Context-Based Glossary Article Prompt
Prompt to generate a glossary article using information from the provided context, with emphasis on examples and use cases.
{input}
Use information from context to generate glossary article, if examples are available in the context, generate also examples or usecases
--- CONTEXT ---
{context}
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Analyze Writing Style of Input Documents
Prompt to analyze the writing style from input documents and generate a technical description for copywriting.
Analyze writing style of input documents.
Extract information for copywriter with description of style. Information will be used as task definition for copywriter writing similar articles.
Identify type of the content: blog post, glossary article, checklist, etc.
Identify search intent, intent of documents
Focus on details, so the writing style of next articles could have the same structure and style.
Give examples of sentences showcasing the style.
Generate just one aggregated technical description of writing style, be precise and detailed, generate just exact task definition for copywriter.
include links to your sources or relative pages or youtube links.
Generate writing style in form of prompt for LLM model
---
Search query:
{input}
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Documents:
{context}
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Writing Style Application Prompt
Prompt to instruct the LLM to use a previously defined writing style on the provided context.
Use following writing style definition:
{input}
---
{context}
AI Agent Glossary Article Generation Instructions
Instructions/goals for the AI Agent to write a detailed 5000+ word glossary article and include source links, with instructions to avoid certain phrases.
You are professional copywriter with deep knowledge of input topic.
include links to your sources or relative pages or youtube links.
Write complex Glossary page filled with deep knowledge and detailed information based on the input article.
Iterate through each paragraph and enahance each paragraph with detailed information found on Google and URLs ranking for keywords related to paragraph.
Article should be long minimum 5000 words
Focus on detailed information. Don't use complicated or fancy phrases like "In todays fast changing world...", "In today's complex...", "is a crucial step", "plays significant role", "fast-paced...", "pivotal role...", "In the ever-evolving landscape of..." or "In the realm of ...", always cut to the point without useless conclusions or intros.
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.
Message Widget
The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.
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.
Prompt Component in FlowHunt
Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.
Query Expansion
Query Expansion in FlowHunt enhances chatbot understanding by finding synonyms, fixing spelling errors, and ensuring consistent, accurate responses for user queries.
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.
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.
Keyword Frequency Evaluator
Analyze your texts to discover the most frequent and significant keywords using the Keyword Frequency Evaluator component in FlowHunt. Automatically extract top keywords, filter out common stopwords, and fine-tune results based on frequency, word length, and keyword overlap—ideal for text analysis, information extraction, and content summarization workflows.
LLM OpenAI
FlowHunt supports dozens of text generation models, including models by OpenAI. Here's how to use ChatGPT in your AI tools and chatbots.
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.
Generator
Explore the Generator component in FlowHunt—powerful AI-driven text generation using your chosen LLM model. Effortlessly create dynamic chatbot responses by combining prompts, optional system instructions, and even images as input, making it a core tool for building intelligent, conversational workflows.
Flow description
Purpose and benefits
The Glossary Article Generator is a sophisticated workflow designed to automate the creation of comprehensive glossary articles. By simply providing a keyword (topic) and optional details, users can generate deeply researched, well-structured, and SEO-optimized glossary entries at scale. Below, we break down the major steps and mechanisms of the workflow to help you understand its structure and benefits.
1. User Interaction and Onboarding
- Welcome Message: When a user initiates the workflow (e.g., opens a chat session), the system sends a friendly welcome message explaining the tool’s purpose: to generate a detailed glossary article for any given topic.
- User Input: The user is prompted to enter a keyword or topic for which they want a glossary page created.
2. Query Expansion & Research Preparation
- Query Expansion: The system takes the user’s input and uses a language model (OpenAI GPT-4o-mini) to generate three alternative search queries phrased in the style of “what is it?” This step ensures a broader and more relevant web search for related glossary content.
- Google Search: These queries are used to perform Google searches, gathering up to eight relevant URLs per query, focusing on highly ranked, authoritative glossary articles.
3. Data Collection & Analysis
- Content Retrieval: The workflow fetches and aggregates content from the URLs found via Google search. This collected data forms the knowledge base for the target glossary article.
- Keyword Frequency Evaluation: The system analyzes the fetched documents to extract the top 20 keywords (excluding stopwords), revealing SEO-critical terms and topic intersections common among high-ranking pages.
| Step | Purpose |
|---|---|
| Query Expansion | Improve search coverage and intent matching |
| Google Search | Gather authoritative, current reference articles |
| Content Retrieval | Assemble a rich, relevant knowledge base |
| Keyword Analysis | Identify essential terminology and concepts for the glossary topic |
4. Writing Style Extraction & Prompt Engineering
Writing Style Analysis: The workflow analyzes the structure, tone, and intent of the retrieved articles to synthesize a technical “writing style definition.” This includes:
- Type of content (e.g., glossary, blog post)
- Search intent and goals
- Sentence examples that showcase the style
- Direct links to sources for reference
Prompt Templates: Multiple prompt templates are created and chained, guiding the language model to:
- Use the aggregated writing style and keywords
- Reference context and examples from competing articles
- Focus on answering key questions (“What is it?”, “How is it used?”, use cases, etc.)
- Avoid filler or generic phrases, ensuring each article is direct, informative, and unique
5. Article Generation and Output
- AI Generation: Using the refined prompts, context, and style definition, the AI generates a comprehensive glossary article (minimum 3,000–5,000 words) that matches the depth, structure, and SEO focus of the best content available online.
- Source Inclusion: The output includes references and links to original sources, supporting credibility and further exploration.
- Display: The finished article is presented to the user in the chat interface.
6. Advanced Agent-Driven Enhancement
- AI Agent: An advanced AI agent (configured as a professional copywriter) can further enhance the article by iterating over each paragraph, supplementing it with additional information from authoritative sources and YouTube links. This results in even more detailed and expert-level glossary content.
Why This Workflow is Valuable for Scaling and Automation
- Consistency & Quality: By analyzing and imitating the structure and SEO strategies of top-ranking articles, the workflow ensures each glossary entry is comprehensive and competitive.
- Speed & Scale: Manual research and writing of authoritative articles is slow and resource-intensive. This workflow streamlines the process, enabling rapid, repeatable generation of high-quality content for any topic.
- SEO Optimization: The keyword analysis and style extraction steps guarantee that generated articles align with current best practices, helping sites rank higher in search results.
- Customization: Users can easily adapt the workflow to different content types, writing styles, or topics, making it a flexible tool for content teams, educators, and marketers.
Summary Table: Key Features
| Feature | Benefit |
|---|---|
| Automated Web Research | Ensures articles are current and authoritative |
| Keyword Extraction | Aligns content with SEO best practices |
| Writing Style Synthesis | Matches tone and structure of top-ranking pages |
| Prompt Engineering | Guides AI to produce relevant, in-depth, and structured articles |
| AI Agent Enhancement | Produces articles of unmatched depth with source references |
| Scalable Output | Enables batch generation of glossary entries for large projects |
In summary, the Glossary Article Generator workflow empowers users to automate the creation of in-depth, SEO-optimized glossary articles, leveraging AI, automated research, and prompt engineering. This makes it an invaluable asset for anyone looking to scale high-quality content production efficiently.
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