Introduction : Meet Your Creative Assistant
Background
Content creation can be overwhelming—juggling trends, crafting hooks, and staying true to your voice is no easy task, especially for YouTube creators. Why not build an AI tool to simplify the process?
This AI App to Generate Youtube Script is designed to empower YouTubers by automating the most time-consuming parts of content creation. By analyzing YouTube channel data, trending topics, and audience preferences, it generates video ideas, scripts, and even thumbnail prompts. What’s more, it seamlessly integrates with external tools like DALL-E to generate custom thumbnails that align with your unique style.
Why Momen?
Most no-code platforms lack a built-in AI agent builder, so integrating AI agents typically starts with connecting to LLM APIs. However, this becomes more complex when handling advanced requirements like RAG (Retrieval-Augmented Generation), tool invocation, and structured outputs. Implementing an AI agent builder, such as Relevance AI, can significantly increase costs, starting at $19/month and reaching up to $599 for a Multi-Agent System. Momen, with its built-in support for generative AI frameworks, enabling you to seamlessly build AI tools directly within your app.
- Custom Workflows: Tailor workflows to fit your creative process, without the need for complex coding.
- Seamless API Integration: Connect with YouTube and external tools like DALL-E effortlessly.
- Intuitive AI Setup: Configure AI agents and integrate them into your app in just a few clicks.
- No-Code Simplicity: Momen’s user-friendly platform saves time and makes app creation easy for everyone.
Showcase Highlights
Core features
The AI-Powered YouTube Video Script Assistant has been designed to streamline your content creation workflow. Here’s a look at the core features and how they help:
- Channel Data Analysis: Simply input a YouTube channel ID, and Momen’s platform will pull up to 30 most popular videos from that channel. The AI analyzes the data (like titles, descriptions, and tags) to understand the channel’s style, themes, and insights.
- Content Idea Generation: Once you input a direction or topic, Momen’s AI gets to work by searching for up to 50 of the most popular videos and collect the information. Then, it combines this data with your channel’s unique style and voice to generate five tailored video title suggestions.
- Script Creation: Once you choose a title, the AI will generate a full video script, including the title, description, tags, and detailed script content.
- Custom Thumbnails: Need a thumbnail? You can either input your own prompt or let the AI generate one for you based on the selected title and script. This is powered by an easy integration with DALL-E, an AI image generation tool. These features work together to create a streamlined, efficient workflow that allows you to focus on creative tasks while Momen handles the technical and repetitive tasks.
Technical highlight
- Flexible Agent Workflow Configuration: Eliminate the need for complex preprocessing steps by freely configuring agent workflows.
- External Resource Integration: Added functionality to seamlessly call external APIs, complementing custom agent workflows for enhanced flexibility.
Key steps in building with Momen
Organize the Data
At the core of any application lies the effective management and processing of data. A database is where all your data is stored, while a data model defines how that data is structured and related. Together, they form the backbone of your app’s functionality.
In this app, the data is organized into four main tables based on the type of data they hold. You can easily create and manage these tables by clicking "Add" to create new tables and columns.
- Channel Analysis Table: Stores information about the channel, such as its name, tags, and themes.
- Video Table: Holds metadata for analyzed videos, including titles and tags.
- Muse Table: Tracks user-provided script outlines.
- Muse Detail Table: Stores AI-generated scripts, including titles, descriptions, and thumbnails.
Some tables are connected in a one-to-many (1:n) relationship, meaning one entry in one table can correspond to many entries in another. To set up these relationships between tables, simply click the "plus" icon in the relations section of any table. From there, you can define the relationship type and link the relevant fields across tables.
Once the data model is built, the structure of your database is complete.
Streamline Product Logic
Connect External API
Momen’s flexibility allows seamless integration with external APIs. For this project, we’ve set up four API connections:
- Three pull data directly from YouTube API, including YouTube channel info, search results, and video details.
- The fourth connects to DALL-E to generate thumbnails tailored to each creator’s style.
Set Up AI Agents
AI agents are a key part of the app, serving as specialized components that automate specific tasks. Momen’s built-in generative AI framework ensures seamless integration of AI agents into workflows, particularly when handling tool calls.
In Momen, AI agents are easy to set up—simply define predefined prompts and models, set the context, and choose the tools the AI can use. You can also customize the AI’s output for subsequent steps in your workflow, ensuring that each task is tailored to your needs.
In this app, the following AI agents are used:
- Channel Analysis AI: This agent collects and analyzes YouTube channel data, extracting themes, tags, and insights to guide the creative process.
- Video Script AI: Using the channel’s data and YouTube search results, this AI generates tailored video ideas, complete with scripts and metadata.
- Thumbnail AI: Based on the generated script and channel data, this AI suggests thumbnail prompts, ensuring visuals are aligned with the content.
Each AI agent handles a specific task, from data analysis to content generation, leveraging efficiency.
Automate Custom Workflows
To manage complex processes efficiently, Momen uses ActionFlow—a feature designed to automate workflows and streamline multi-step tasks.
In the context of the YouTube Video Script Assistant app, we set up 3 ActionFlows:
1. Get Channel Video Details
This ActionFlow collects and analyzes data from a YouTube channel to help the AI understand the creator’s style and popular video trends. Here’s how it works:
- Step 1: The user enters the YouTube username of the channel. We use the YouTube API to fetch up to 30 videos from that channel.
- Step 2: For each video, the ActionFlow calls another API to retrieve detailed data like titles, descriptions, tags, thumbnails, and viewer statistics (e.g., view count, likes, comments).
- Step 3: The videos are sorted based on their popularity—such as most viewed or most commented—and this data helps the AI understand which videos resonate the most with viewers.
- Step 4: The AI uses this information to identify key content themes and viewer interests that can guide future video creation.
- Step 5: Finally, all of the information is stored in the database, making it easy for the AI to refer back to when generating new ideas and scripts.
- scripts. By analyzing past videos, the AI can understand the creator's style and audience preferences, ensuring that future video ideas and content will align with the channel’s identity.
2. Get Search Results Video Detail
This ActionFlow enables the AI to gather real-time data based on user-provided keywords, further enhancing video idea generation. Here's how it works:
- Step 1: The user enters a specific keyword or phrase they want to search for.
- Step 2: The system queries YouTube’s API, returning a list of video IDs that match the entered keyword. It then fetches detailed information for each video, including titles, descriptions, tags, and other relevant data.
- Step 3: All gathered video data is stored in the database for easy reference and future analysis. This helps the AI learn from a broader pool of content, not just the channel's past videos, and improves the quality of future video ideas.
By integrating the search results, this ActionFlow ensures that the AI can stay up to date with current trends, making the video idea suggestions more relevant and aligned with what’s popular in the YouTube space.
3. Generate Video Ideas
This ActionFlow helps generate tailored video ideas by combining the channel’s data with user preferences. Here’s how it works:
- Step 1: The user inputs a topic or idea they want to explore. The videoMuse Agent (a built-in AI component) processes the request and analyzes the channel’s data.
- Step 2: The agent refers to the data previously stored by the Get Channel Video Details ActionFlow, such as video themes, tags, and viewer interests.
- Step 3: The agent calls the Get Video Detail tool, which retrieves detailed information about similar YouTube videos. This tool helps ensure that the generated ideas are aligned with what is trending on YouTube.
- Step 4: The AI then combines everything—the stored data, the user’s input, and real-time video data—to generate five tailored video title suggestions.
- Step 5: These suggestions are stored in the database and shown on the user interface, allowing the user to choose the most relevant title for their next video.
This ActionFlow streamlines the idea generation process by analyzing both past content and current trends, saving your research time and helping you stay relevant to your audience.
By automating the workflow, you can get all the tasks done in one click, saving time and ensuring a seamless content creation process.
Design User Interface
Building the frontend in Momen is as intuitive as using design tools like Framer or Figma. With its drag-and-drop interface, you can visually arrange components and design for multiple screen versions—desktop, mobile, and tablet—all within the same canvas.
Here are some components used in this app:
- Conditional View: This component allows you to display different UI elements based on specific conditions. In this app, both the channel analysis and title recommendation generation appear on the same page, but are separated using different values configured for each view.
- Select View: This component enables users to make single or multiple selections from a set of options. In this app, the Select View is connected to the Conditional View. By changing the state of the Select View, you can control the switching between different conditional views. Once your layout is ready, binding these components to your backend data and configure actions to complete user interactions.
Cost and Time Estimate: Efficiency Meets Affordability
Development Time:
Building this app with Momen takes approximately 40 hours (5 workdays). In comparison, developing the same project with pure code would take about 120 hours (15 workdays). Using other no-code builders like Bubble might take even longer, as they lack the integrated AI agent framework and depend on external APIs to achieve similar functionality.
Momen Development Time Breakdown:
- Designing and Setting Up the Data Model: 2 hours
- Frontend Design : 3 hours
- API Integration: 5 hours
- Actionflow:
- Channel Analysis: 8 hours
- Content Generation: 4 hours
- Custom Thumbnail Creation: 8 hours
- AI Configuration: 5 hours
- Testing and Debugging: 5 hours
Cost Analysis:
You can build this app with Momen’s Basic Plan for just $33 per month, which includes unlimited APIs and AI customization, along with 200,000 free points monthly. For more details, visit Momen's pricing page.
Project Overview: See It in Action!
- Live Demo Link https://eqp0drx1v6yxy.cave.momen.app/
- Video Walkthrough
Build Without Limits on Momen
The potential of Momen goes far beyond what we've covered here. With Momen, you can easily expand your tool’s capabilities to analyze other platforms like TikTok, Instagram, or Reddit, or even build a complete marketing automation suite, including cold emails and content generation for brands and creators—all without writing a single line of code.
So, what will you create with Momen? The only limit is your imagination—start building today and turn your ideas into reality!
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