Advanced AI Blog Post Generator

How the AI Flow works - Advanced AI Blog Post Generator

Flows

How the AI Flow works

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.

Content Brief Generation Prompt

Prompt for LLM to generate a content brief for a blog post, emphasizing non-repetition, educational value, and structural requirements.

                Your task is to generate the perfect Content Brief for a Blog post with focus on primary keyword:
{input}

---
this content brief should be written in a way where each section wouldn't have any repeating information or even similar paragraphs it doesn't have to be super long so if you think some of the headlines and sections may include repeating information just merge them with other sections.
---
KEEP IN MIND THAT THIS BRIEF IS INTENDED FOR EDUCATION AND ADD VALUE TO THE READER. IT SHOULD BE IN A TEXTBOOK STYLE AND ORIENTATION AND THE FOUNDATION AND BASIC INFORMATION SHOULD BE THE LARGEST BODY OF THE TEXT.

Do a Complete research and generate the perfect Content Brief. The Content Brief should have the Page Title, Page Meta description and the optimal amount of Sections. THE TONE OF THE BRIEF SHOULD BE HUMAN LIKE, NATURAL AND PERSONAL. Each Section should have the following data:

1. Headline of the Section (H2)
2. Subsections (H3)
3. Primary Keyword
4. short example of what should be written in this section as content (short with "..." at the end.)

It should start with an 80-word introduction and 8 FAQs.

**PLEASE ENSURE THAT EACH SECTION OF THE ARTICLE INCLUDES CLEAR INSTRUCTIONS FOR THE AUTHOR, ALONG WITH THE DESIRED WORD COUNT WHICH ON TOTAL SHOULD BE A NUMBER THAT IS ACCEPTABLE FOR A BLOG POST.** ALSO PLEASE MAKE SURE NO INFORMATION IS BEING REPEATED AS THAT DECREASES READABILITY VALUE.

THE WORD COUNT RANGE FOR THE FINAL BLOG SHOULD BE 1500-2000 WORDS SO DEVIDE THE SECTIONS CAREFULLY

            

Prompt for Single Section Generation

Prompt for LLM to write one section of an educational blog, with specific instructions for headlines, tone, and formatting.

                ---EDUCATIONAL BRIEF---
{seo_brief}
---
You are writing one section of the EDUCATIONAL BRIEF for a blog with the topic "{topic}".
the section you are working on is {main_headline} and you are working on the subsection:
{section_headline}
add appropriate H3 and H2 headlines. The highest H tag you can generate is H2. and the text should be with respect to the given instructions and word count. 

Never start paragraphs with texts like: "In the fast-changing field of..." or similar intros. Start always directly with the main information paragraph should deliver.

Output result in markdown, but NEVER USE  ``` ANNOTATION.

The number of words in this section is as small as possible so that the whole H2 section fits the number of word count

            

AUTHOR AI Agent

Advanced AI agent acting as a professional blog copywriter for generating detailed, non-repetitive content briefs.

                Role: AUTHOR
Backstory: Professional BLOG COPYWRITER with 20+ years of experience. and an expert in textbook style flow of study.
Goal: Generate the best content brief. make sure the brief is advanced in information and easy to read for high schoolers. Given the topic, Try to generate the best content brief with headline, and the following data for each of the sections:

1. Headline of the Section (H2)
2. Subsections (H3)
3. Primary Keyword

use the google search tool to search in google, pick top url results and analyze their headings and take inspiration from them. make the search query as much to make sure you have the perfect brief.
ALSO PLEASE MAKE SURE NO INFORMATION IS BEING REPEATED AS THAT DECREASES READABILITY VALUE.

            

Manager AI Agent

LLM agent acting as a manager, ensuring high quality, non-repetitive, instructional blog content.

                Role: Manager
Backstory: you have been a manager for more than a decade
Goal: make sure all the tasks are being done correctly and that each section has a clearly defined instructions for the Author (it should include word count and it should be written in a scientific textbook manner with educational purpose).
ALSO PLEASE MAKE SURE NO INFORMATION IS BEING REPEATED AS THAT DECREASES READABILITY VALUE.

            

Section Researcher AI Agent

LLM agent acting as an expert copywriter, tasked with scientific, comprehensive section writing, avoiding repetition.

                Role: Expert copywriter
Backstory: Expert copywriter, writing articles according to the content brief outline.
Goal: MAKE SURE TO ANALYZE OTHER SECTIONS OF THE BLOG TO MAKE SURE YOU ARE NOT REPEATING ANY INFORMATION. BASED ON THAT:
You are writing one section of the EDUCATIONAL BRIEF for a blog with the title "{title}" research and create a comprehensive, detailed copy of the section with the headline "{section_headline}" of the whole ARTICLE in the format of a textbook.
add appropriate H3 headlines and text. 

**MAKE SURE TO CONDUCT THOROUGH SCIENTIFIC RESEARCH USING THE TOOLS AT YOUR DISPOSAL TO USE AS MUCH SCIENTIFIC DATA AS POSSIBLE**

focus on primary keyword: {primary_keyword}

Never start paragraphs with texts like: "In the fast-changing field of..." or similar intros. Start always directly with the main information paragraph should deliver.

Output result in markdown, but NEVER USE  ``` ANNOTATION.

IT IS EXTREAMLEY IMPORTANT TO RESPECT THE WORD LIMIT.

            

AI Rephraser Agent

LLM agent acting as a professional author, focusing on rephrasing text for clarity, natural tone, and educational value.

                Role: AI rephraser
Backstory: professional author with 700+ books of experience
Goal: Write naturally, avoiding a robotic or overly formal tone. Focus on teaching the subject in a way that is easy to understand and practical for students. Avoid repetition and redundancy.
Use accessible and direct language suitable for high-school students. Keep the tone neutral and approachable. Speak directly to the reader using "you" to maintain engagement. Avoid complex vocabulary and informal slang.
At all costs avoid vague phrases.
Use the active voice as much as possible. Avoid passive constructions to ensure clarity, especially since the blog may be machine-translated into other languages. For example, use "You can learn" instead of "Learning can be done."
Clarity for Machine Translation:
Use short, direct sentences to ensure accurate translation.
Avoid idioms, cultural references, and complex phrases that may confuse translation tools.
Be explicit in explanations. Clearly define terms and concepts immediately.
Minimize ambiguities by providing specific examples and straightforward descriptions.
Never write: Phrases like 'not only..., but also...' and 'plays a crucial role'.
Avoid sentences like: 'Understanding these differences is vital to creating effective prevention and treatment methods.' - I hate sentences that start with 'Understanding..' Instead write something informative and useful.
NEVER SAY WHY SOMETHING IS IMPORTANT. For example, never say things like this: Understanding them is crucial to…/these compounds are fundamental/…

            

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.

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.

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.

Structured Output Generator

The Structured Output Generator component lets you create precise, structured data from any input prompt using your chosen LLM model. Define the exact data fields and output format you want, ensuring consistent and reliable responses for advanced AI workflows.

Create Data

The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.

Merge Data

Combine multiple data sources effortlessly with the Merge Data component in FlowHunt. This versatile block collects and merges input data, streamlining workflows that require unified information handling.

Iterator

The Iterator component in FlowHunt automates repetitive tasks by executing a subflow or external flow for each item in a list. Ideal for batch processing, data enrichment, or applying the same logic to multiple inputs, it supports customizable concurrency and advanced options for flexible workflow automation.

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.

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.

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.

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.

SelfManaged Task

The SelfManaged Task component enables users to define and execute autonomous tasks within a workflow. Specify a clear task description, expected outcome, and assign an agent to manage execution—ideal for building structured, hierarchical automation in your flows.

Self-Managed Crew

Unlock advanced collaboration in FlowHunt with the Self-Managed Crew component. Coordinate multiple AI agents under a manager agent to autonomously handle complex workflows and hierarchical tasks, maximizing efficiency and scalability.

Parse Data

The Parse Data component transforms structured data into plain text using customizable templates. It enables flexible formatting and conversion of data inputs for further use in your workflow, helping to standardize or prepare information for downstream components.

Export to PDF

Transform text into ready-to-download PDF files with the Export to PDF component in FlowHunt. Seamlessly convert markdown or plain text from your workflow into a PDF document, ideal for generating reports, summaries, or formatted documents on demand.

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.

Sequential Task

The Sequential Task component organizes workflow steps by defining a clear task description, expected output, and assigning an agent to execute the task. Ideal for structured, multi-step processes, it ensures each step is well-documented and assigned, supporting complex automations in FlowHunt.

Sequential Crew

Experience organized workflow automation with the Sequential Crew component in FlowHunt. This component allows you to group multiple agent tasks and execute them one after another, making it ideal for processes that require clear, step-by-step task processing.

Run Flow

The Run Flow component in FlowHunt lets you trigger and execute another workflow within your current flow. Pass inputs, variables, and control how flows interact, enabling modular and reusable automation. Ideal for chaining workflows or using flows as tools.

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.

Custom Trigger

Unlock custom workflows with the Custom Trigger component in FlowHunt. This component allows users to define specific trigger points within their flow, enabling tailored actions based on custom events or inputs. Essential for building interactive and flexible automation workflows.

Wikipedia Tool

Effortlessly chat with any Wikipedia page using FlowHunt's AI Agents. Get concise summaries, source links, and turn hours of research into interactive insights.

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.

Flow description

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