Unique Digital Ideas for Successful Business

CONTACT US

SUBSCRIBE

    Our expertise, as well as our passion for web design, sets us apart from other agencies.

    How to Build a Content Repurposing AI Agent in Airia

    In the fast-paced world of digital content, efficiency is key. While AI chatbots offer a quick solution for generating text, they often fall short in terms of security, scalability, and brand alignment for businesses and digital entrepreneurs. Imagine a world where you could transform that quick-chat workflow into a secure, automated business process. With Airia, that world is now a reality. How to build a powerful content repurposing AI agent in Airia, automating blog and transcript workflows into LinkedIn posts, Instagram captions, and viral hooks.

    Build a Content Repurposing AI Agent in Airia-axiabits
    Build a Content Repurposing AI Agent in Airia

    This comprehensive guide will walk you through building a powerful content repurposing AI agent in Airia. We’ll move beyond simple text generation to orchestrate an intelligent pipeline that ingests raw content, strategically aligns it with your brand, and then simultaneously generates perfectly formatted social media content for various platforms, including viral hooks. This isn’t just about using AI; it’s about building an enterprise-grade application to streamline your content operations.

    Let’s dive in and revolutionize your content strategy! If you’re serious about building real AI agents—not just chatbots—Airia makes it incredibly easy. Design secure, scalable AI workflows using a visual canvas and powerful models. Join Airia now and start building smarter AI systems today.

    Getting Started with Airia

    Getting started with Airia is straightforward and free of charge. Visit the Airia homepage (link in video description), and click the “Start Free” button in the upper right corner. You’ll be prompted to enter your contact information. Once submitted, check your email for a confirmation link to complete your setup, accept the terms, and create your account password.

    Getting Started with Airia-axiabits
    Getting Started with Airia

    Upon successful setup, you’ll land on your home dashboard. While this guide will focus on building our content repurposing agent, I highly recommend exploring Airia’s platform overview video and the helpful resources section at the bottom of your dashboard, especially the video tutorials. These resources cover everything from exporting agents and version control to backups and evaluations, offering invaluable insights for expanding your Airia expertise.

    How to Create a New Project and Agent

    Before we build our agent, it’s good practice to create a dedicated project for it. This helps with organization, especially as you develop multiple automation systems within Airia. Turn your ideas into production-ready AI agents with Airia. From content automation to advanced workflows, everything is built for speed and scale. Signup Airia now and build AI that works beyond prompts.

    Create a New Project and Agent-axiabits
    Create a New Project and Agent
    1. Create a New Project: From the sidebar on the left, click the + icon next to “Project.” You can upload or pick an icon to represent your project. For this demo, we’ll choose the feather icon.
    2. Name Your Project: Name your project “Content Repurposing Pipeline.” This clear name will make it easy to identify later.
    3. Add a Description: Provide a summary of your workflow’s purpose. For instance: “This agent will take long-form content like blog posts or YouTube transcripts and automatically repurpose that information into social-ready deliverables.” This ensures clarity on the pipeline’s role in your content system.
    4. Confirm Project Creation: Click “Create” in the bottom right corner. Your new project will appear in the sidebar menu. Click on it to access its dashboard.

    At this point, your project dashboard will be empty. The next step is to add our AI agent.

    1. Add a New Agent: In the upper right corner of your project dashboard, click “Add a new agent.” Airia will then load the agent canvas.

    The canvas starts with two default nodes: “Input” at the top and “Output” at the bottom. Everything we build will connect these two points, integrating logic, tools, models, and behavior into a complete content repurposing system.

    Airia Canvas Overview: Building the Agent

    Now that we’re inside the canvas, the first crucial step is to define the data our agent will expect. Without this, the agent won’t know what to process.

    Configuring the Input Node

    1. Select the Input Node: Click on the large “Input” node at the top of your canvas. This opens the configuration panel on the right.
    2. Define Input Type: Choose “Text” as the input type. This tells the system that the primary data entering the workflow (URLs and transcripts) will be text-based.
    3. Add Input Variables: Variables are essential inputs that the agent needs to run properly. They act as fields where you provide data.
      • Blog URL Variable: Click “Create” to add your first variable.
        • Variable Name: Type “blog URL.” Clear naming is vital for referencing data later.
        • Variable Type: Open the dropdown and switch “string” to “URL” since we’re passing a website link. Airia supports various types like strings, numbers, and emails.
        • Confirm: Click the checkmark to confirm. “blog URL” will now be listed in your input variables.
      • Transcript Text Variable: Click “Create” again to add another variable.
        • Variable Name: Name it “transcript text.” This will handle raw text from YouTube transcripts, podcast interviews, or manual notes.
        • Variable Type: Leave it set to “string” as we’re working with plain text.
        • Confirm: Click the checkmark.

    You now have two input fields: “blog URL” for pulling content directly from a page and “transcript text” for handling written source material. This provides flexibility, allowing you to feed the agent either a URL, a transcript, or both.

    Quick Canvas Tip: To close an open panel, click the icon in the upper right. To reopen, double-click the node you were working on.

    Want to see a real-world example of AI agents in action? Check out our detailed guide on Built an AI Contract-Analyzing Agent Inside Slack in Airia, where we walk through creating a production-ready AI agent that analyzes contracts directly inside Slack using Airia.

    Adding the Web Scraper Tool

    Next, we need a tool that allows our agent to scrape the internet and automatically gather data from given pages. This is crucial for fetching web content from blog posts and articles.

    1. Navigate to Tools: Head back to the main dashboard by clicking the arrow in the upper left corner. In the sidebar menu, under “Components,” select “Tools.”
    2. Find Firecrawl Web Scraper: Airia’s library shows available integrations. We’re looking for “Firecrawl Web Scraper,” which extracts written content from websites as clean text. Use the search bar to find it quickly.
    3. Configure Firecrawl: Click on “Firecrawl Web Scraper” to open its configuration panel.
      • Leave Defaults: The default settings for title, description, credential type, and API timeout are usually fine.
      • Set Scope: Change the “Scope” to “Content Repurposing Pipeline” (or your project’s name) to ensure it’s only used with this specific project.
      • Create Tool: Click “Create.”

    The Firecrawl Web Scraper is now configured and ready for use. Most AI tools stop at text generation. Airia helps you build full AI pipelines with tools, logic, and automation—perfect for businesses and teams. Make Airia now and create enterprise-ready AI agents.

    Integrating Firecrawl into the Agent

    1. Return to the Agent Canvas: Go back to your project and double-click on the agent.
    2. Open Component Drawer: On the left side of the canvas, click the + icon to open the component drawer.
    3. Add Firecrawl: Select “Tools” and drag the “Firecrawl Web Scraper” directly onto the canvas, placing it between “Input” and “Output.” This transforms it into a “Tool Action” block, indicating it will run during the pipeline.
    4. Configure the Tool Action: Double-click the “Firecrawl” block on the canvas to open its configuration panel.
      • Understand Parameters: Tools need instructions through parameters. Firecrawl has a main parameter called “URL.”
      • Assign Variable to Value Field: In the “Value” field, instead of typing a specific website, we want to use the “blog URL” variable we set up earlier. Click the “Variables” dropdown on the right, select “Variable,” and then choose “blog URL.”

    You’ve now told the Firecrawl tool to automatically scrape the web page from the link the user submits, making the process dynamic and automated.

    Powering the Brain: The AI Model (Strategist)

    Next, we need to power the “brain” of our workflow – the AI model. This model will act as the strategist, writer, and decision-maker, taking the scraped text, understanding it, summarizing it, and ultimately repurposing it.

    1. Return to Models: Go back to the home dashboard and from the sidebar menu, under “Components,” select “Models.”
    2. Select Claude 3.7 Sonnet: For this pipeline, we need a model that excels at reasoning, summarizing, and restructuring long-form content. Choose “Claude 3.7 Sonnet latest” (or a similar high-reasoning model).
    3. Add to Project: A popup will show details about the model. If everything looks good, click “Add.”
    4. Configure Model:
      • Rename (Optional): You can rename the model if desired.
      • Set Scope: Open the dropdown and select “Content Repurposing Pipeline” (or your project’s name) to limit its accessibility to this workflow.
      • Add Model: Click “Add.”

    Your model is now configured.

    Integrating the Strategist Model into the Agent

    1. Return to Canvas: Go back to your project and click on the agent to get back to the canvas.
    2. Add AI Model Block: Click the + icon on the left, open “AI Models,” and drag and drop the AI model card to the right of the “Tool Action” block on the canvas.
    3. Configure Model Card: Double-click the AI model card on the canvas to open its panel.
      • Select Model: Click “Add” and select “Claude 3.7 Sonnet latest” (or your chosen model).

    Now, your model is connected, but it doesn’t know what to do yet. This is where the prompt comes in.

    Crafting the Strategist Prompt

    The prompt is the instruction manual for your AI model, guiding how it analyzes content, thinks through tone, and repurposes information.

    1. Open Prompt Editor: Inside the AI model panel, click “Start editing.”
    2. Add Custom Segment: Click “Add custom segment” to open a text box for your prompt.

    Strategist Prompt Example:
    You are a senior content strategist.

    Your task is to analyze the provided blog content and video transcript. Do not write the final social post yet. Instead, output a content strategy brief that includes:

    – Core argument

    – Key themes

    – Spicy or contrarian points

    – Tone analysis

    All with explanations of each point.

    Source Material 1: Video Transcript:

    Source Material 2: Blog Content:

    1. This prompt instructs the model to first break down the messaging, tone, themes, and angles, forming a solid foundation before generating final content.
    2. Attach Variables to Prompt: The model needs to know what content to analyze. We’ll use “step result” variables to pull output from previous steps.
      • Video Transcript Variable:
        • Click the “Variables” tab on the right (next to “Segments”).
        • Drag and drop the “Step Result Type” pill (the second one) into your prompt next to “Source Material 1: Video Transcript:”.
        • Click on the inserted pill and replace the placeholder step type with transcript text. This tells the model to use the raw transcript text.
      • Blog Content Variable:
        • Drag and drop another “Step Result Type” pill into your prompt next to “Source Material 2: Blog Content:”.
        • Click on this pill and replace the placeholder step type with tool action. This is crucial because it’s pulling the output from the Firecrawl tool, which acted (scraped the blog).
    3. Save Prompt: Click “Save.” Your prompt is now officially attached to the agent.
    4. Rename Model: To make identification easier, click the text field at the top of the AI model panel and rename it “Strategist.”

    If you’re new to Airia and want a fast, beginner-friendly walkthrough, don’t miss Build an AI Agent in Minutes with Airia. This guide shows how to create your first AI agent quickly using Airia’s visual canvas and built-in components.

    Adding the Writers: LinkedIn, Instagram, and Viral Hooks

    Now that our strategist is in place, it’s time to add the “hands” that will write the posts. These AI models will reference the strategist’s output but write in different styles and formats.

    1. Add Generative AI Model Blocks:
      • Click the + icon on the left to open the component drawer.
      • Select “AI Models.”
      • Drag and drop three “Generative AI Model” blocks onto the canvas. Position them below the “Strategist” block.
    2. Rename the Writer Blocks: Click the text at the top of each new AI model block and rename them for clarity:
      • “LinkedIn Writer”
      • “IG Captioner”
      • “Viral Hook Generator”
    3. Configure Each Writer (Process is similar for each):
      • Select Model: Double-click on each writer block (e.g., “LinkedIn Writer”) to open its configuration panel. Click “Add” and select your chosen AI model (e.g., “Claude 3.7 Sonnet latest”).
      • Add and Edit Prompt: Click “Start editing” within the writer’s panel.

    LinkedIn Writer Prompt Example:
    Task: Write a professional LinkedIn post based on the attached strategy brief.

    Style: Use short paragraphs and a hook-value-call to action structure. No hashtags.

    Instagram Captioner Prompt Example:
    Task: Write an engaging Instagram caption based on the attached strategy brief.

    Style: Use emojis, relevant hashtags, and a concise, conversational tone.

    Viral Hook Generator Prompt Example:
    Task: Generate three viral hook ideas based on the attached strategy brief.

    Style: Hooks should be attention-grabbing, controversial, or thought-provoking.

    • Attach Strategist Output Variable: For each writer, you need to provide the strategy brief from the “Strategist” model.
      • Go to the “Variables” tab.
      • Drag and drop the “Step Result Type” pill into the prompt, next to “Context:”.
      • Click on the pill and replace step type with strategist. This links the writer to the output of your strategist model.
    • Save Prompt: Click “Save” for each writer.

    Wiring It All Together: Connecting the Components

    The final step is to connect all the components, visually building the logic of your automated content pipeline. This is where Airia’s canvas becomes a powerful visual builder.

    1. Delete Default Connection: Airia initially connects “Input” directly to “Output.” Hover over this line and click the trash can icon to delete it.
    2. Connect Input to Firecrawl and Strategist:
      • Click on the bottom dot of the “Input” block.
      • Drag your mouse and attach the line to the top dot of the “Firecrawl Web Scraper” (Tool Action) block.
      • Do the same again: Click the bottom dot of the “Input” block and drag a new line to the top dot of the “Strategist” block.
    3. Connect Firecrawl to Strategist:
      • Click the bottom connection dot on the “Firecrawl Web Scraper” block.
      • Drag the line across to the top dot of the “Strategist” block.
    4. Connect Strategist to Writers (Branching Out): This is where the workflow branches.
      • Click and drag from the bottom dot of the “Strategist” block.
      • Connect it to the top dot of the “LinkedIn Writer” block.
      • Repeat this for the “IG Captioner” and then the “Viral Hook Generator.”
      • You’ll see three separate lines flowing from the “Strategist” to each writer, indicating the output is being routed to all three simultaneously.
      • Canvas Tip: When you click and hold on any connection dot, valid connection points will highlight in purple, making it easier to build complex flows.
    5. Connect Writers to Output:
      • Click and drag the bottom dot under the “LinkedIn Writer” to the top dot of the “Output” block.
      • Repeat this for the “IG Captioner” and the “Viral Hook Generator.”
      • This funnels all generated content into the final “Output” box.

    How We Help You Build Scalable AI Content Systems

    Building AI agents is not just about generating text—it’s about creating reliable, secure, and repeatable systems that fit your business goals. That’s exactly where Axiabits comes in.

    We help businesses, creators, and digital teams design custom AI-powered workflows that automate content repurposing, maintain brand consistency, and scale effortlessly across platforms.

    What We Do:

    • Custom AI Agent Development
      We design and deploy AI agents tailored to your exact use case—whether it’s content repurposing, internal automation, or research workflows.
    • Airia Workflow Design & Implementation
      From canvas architecture to tools, models, prompts, and branching logic, we build complete Airia agents that are production-ready.
    • Automated Content Repurposing Pipelines
      Turn blogs, videos, and transcripts into LinkedIn posts, Instagram captions, and viral hooks—automatically.
    • Strategic Prompt Engineering
      We craft prompts that reflect your brand voice, audience, and positioning—so outputs sound human, not generic.
    • Enterprise-Grade AI Solutions
      Secure, scalable AI systems built for SaaS companies, agencies, and content-driven businesses.

    If you want AI to work as a real business asset, not just a tool, we’re here to help.

    Book now and let’s get started!

    Final Conclusion

    Your content repurposing AI agent is now complete! Every piece is connected, and the system is fully functional.

    Rename Your Agent: In the upper left corner of the canvas, click on the agent’s title and rename it something descriptive, like “Content Repurposer.”

    You’re not locked into this exact layout. You can reposition components on the canvas to optimize visual clarity.

    By following these steps, you’ve built a sophisticated AI agent in Airia that automates the complex process of content repurposing, ensuring brand consistency and maximizing your content’s reach across multiple platforms. This enterprise-grade application will save you countless hours and elevate your content strategy to new heights. Want to automate content, research, or internal workflows with AI? Airia lets you build intelligent agents using a simple drag-and-drop canvas. Join Airia now and automate smarter, not harder.

    Frequently Asked Questions

    Why should I use a “Strategist” model instead of going straight to writing posts?

    Using a Strategist acts as the “brain” of your operation. Instead of asking AI to blindly write a post, the Strategist first extracts the core arguments, tone, and key themes. This ensures that when the “Writer” agents take over, the resulting social content is deeply aligned with the original message and maintains a consistent brand voice.

    What is the benefit of using Firecrawl over manually copying and pasting text?

    Firecrawl automates the data ingestion process. It can “crawl” a URL, bypass unnecessary website clutter (like ads or menus), and return clean, structured text. This makes your AI agent scalable; you only need to provide a link, and the agent handles the heavy lifting of reading the page.

    Can I add more social media platforms to the pipeline later?

    Yes, Airia’s canvas is modular. You can simply open the components drawer, drag in a new AI Model block (e.g., for X/Twitter or Threads), write a specific prompt for that platform, and connect it to the Strategist’s output. This allows your system to grow as your content strategy expands.

    What is the difference between “Step Result Value” and “Step Result Type”?

    This is a common point of confusion for beginners. Step Result Value is the actual raw data or text from a previous step. Step Result Type allows you to specify exactly which part of a multi-output step you want to reference (e.g., specifically calling the “transcript_text” from the input). Using the “Type” variable makes your workflow more precise and less prone to errors.

    Is my data secure when using an AI agent in Airia?

    Unlike public chatbots where your data might be used for training, Airia provides an enterprise-grade environment. By building a private pipeline, you ensure that your transcripts, blog content, and brand strategies are processed through secure APIs with defined scopes, keeping your intellectual property protected within your project.

    Table of Contents