How I Automated My Workflow with AI Agent Teams (NO-CODE)
Summary
TLDRThis tutorial demonstrates how to automate content creation tasks using AI agent teams on the no-code platform Flowwise. The process involves a supervisor node delegating tasks to specialized workers, such as a research specialist for YouTube video analysis, a title creator, description generator, and a Twitter post maker. The agents collaborate to streamline keyword research, video idea generation, and promotional material creation, ultimately compiling results into a comprehensive report. The video guides viewers through setting up the AI team and custom tools for an efficient workflow.
Takeaways
- 📚 The video is a tutorial on automating everyday tasks using AI agent teams without writing code, utilizing a no-code platform called Flowwise.
- 🛠️ Flowwise allows users to build advanced AI applications by arranging nodes on a canvas, and it can be set up locally or in the cloud.
- 🔎 The content creator's workflow involves researching YouTube keywords, finding high-performing videos, and creating promotional content, which is automated by the AI agent team.
- 👥 The AI agent team consists of a supervisor and five workers, each with specific roles like research specialist, title creator, description creator, Twitter post creator, and report writer.
- 🔑 The supervisor node delegates tasks to different workers and can be customized with additional parameters and AI models like GPT-40 from OpenAI.
- 🔍 The research specialist is responsible for searching YouTube for videos related to given keywords and fetching detailed information about the videos and channels.
- 🏷️ Each worker node is assigned a role and a prompt to guide its function, such as generating titles or descriptions based on video keywords.
- 📝 Custom tools are created for searching YouTube, extracting video details, and fetching channel details, which are integrated into the workers' functions.
- 🔗 The use of variables, like the YouTube API key, centralizes the management of keys needed for API calls, making it easier to update across tools.
- 📝 The report writer compiles results from all workers into a report, which is then written to an HTML file in the specified output directory.
- 🛑 The supervisor's prompt must be adjusted to ensure the correct execution order of the workers, starting with the research specialist and ending with the report writer.
- 📉 The video demonstrates testing and troubleshooting the flow, highlighting the importance of adjusting the supervisor's prompt for the desired workflow.
Q & A
What is the main topic of the video?
-The main topic of the video is automating everyday tasks using AI agent teams with a no-code platform called Flowwise.
Who inspired the tutorial in the video?
-The tutorial was inspired by a video from Code with Brandon, who used CrewAI to create a YouTube research team.
How does Flowwise allow users to build AI applications?
-Flowwise allows users to build advanced AI applications by simply dropping nodes onto a canvas, without the need for extensive coding.
What is the role of the supervisor node in the AI agent team?
-The supervisor node is responsible for delegating tasks between the different worker nodes in the AI agent team.
What are the five main workers in the AI agent team described in the video?
-The five main workers are the research specialist, title creator, description creator, Twitter post creator, and report writer.
What is the purpose of the research specialist in the AI agent team?
-The research specialist is responsible for searching videos on YouTube and fetching information such as view counts, channel subscriber counts, and days since last published.
What does the title creator worker do in the AI agent team?
-The title creator worker generates 10 high click-through-rate titles for a video idea based on given keywords.
What is the function of the description creator in the AI agent team?
-The description creator takes the results from the research specialist and generates a video description.
What is the role of the Twitter post creator in the AI agent team?
-The Twitter post creator is responsible for generating a promotional post (expo) to be used for promoting the video on Twitter.
What is the final output of the report writer in the AI agent team?
-The report writer consolidates all the results from the previous workers, creates a report, and writes the results to a file on the user's PC.
How does the video demonstrate the workflow of the AI agent team?
-The video demonstrates the workflow by showing a chat interaction where the supervisor asks the research specialist to look for videos related to given keywords, and then each worker contributes to creating titles, descriptions, and promotional posts.
What is the first step in creating an AI agent team in Flowwise?
-The first step is to go to the Flowwise dashboard, navigate to Agent Flows, and add a new flow.
How does the supervisor node in Flowwise communicate with worker nodes?
-The supervisor node communicates with worker nodes by sending outputs to the supervisor input on the worker nodes.
What is a custom tool in Flowwise and how is it used?
-A custom tool in Flowwise is a node that allows users to write a small amount of code to perform specific actions, such as searching YouTube or fetching video details. It is used by assigning it to a worker and referencing it within the worker's prompt.
What is the importance of the tool description in Flowwise?
-The tool description is important as it tells the model how and when to use the tool, guiding the AI on the appropriate actions to take with the tool.
How does the video script guide the creation of custom tools for the research specialist?
-The script guides the creation of custom tools by explaining the process of naming the tool, describing its purpose, adding properties, and writing JavaScript code to perform the desired actions, such as calling YouTube APIs.
What is the role of the 'write file' tool in the report writer's workflow?
-The 'write file' tool is used by the report writer to take the compiled information from the other workers and write it into a file, such as an HTML report, which is then saved to the file system.
How can the supervisor's prompt be adjusted to control the execution order of the workers?
-The supervisor's prompt can be adjusted by adding instructions that specify the order in which workers should execute, ensuring that the research specialist runs first and the report writer runs last after collecting all the results.
What is the final step in the video script for testing the complete AI agent team?
-The final step is to run the flow with the same keywords used earlier, observe the execution of each worker, and check the final output in the form of an HTML report file.
What is the significance of the 'research specialist' in the AI agent team's workflow?
-The 'research specialist' is significant as it initiates the workflow by searching for and retrieving data on YouTube videos related to the given keywords, which then informs the work of the other workers in the team.
How does the video script address potential issues with API keys in custom tools?
-The script addresses API key issues by recommending the use of variables to store the API key centrally. This allows for easy updates and ensures that all tools referencing the API key are automatically updated when the key is changed.
What does the video suggest for managing API keys when creating multiple custom tools?
-The video suggests creating a variable for the API key and referencing this variable in all custom tools that require the key. This centralizes the management of the API key and simplifies updates.
What is the purpose of the 'YouTube API key' variable in the script?
-The 'YouTube API key' variable is used to store the API key needed to access the YouTube Data API. It is then referenced in custom tools to avoid hardcoding the API key in multiple places.
How does the video script guide the setup of the 'write file' tool for the report writer?
-The script guides the setup by explaining how to add the 'write file' node to the canvas, assign it to the report writer, specify the file path, and ensure the folder exists in the file system.
What is the expected format for the final report generated by the report writer?
-The expected format for the final report is HTML, containing a table of research data, a list of video titles, the video description, and the Twitter post.
How does the video script ensure the correct execution order of the AI agent team?
-The script ensures the correct execution order by adjusting the supervisor's prompt to instruct the research specialist to run first and pass its results to the rest of the team, culminating in the report writer compiling all the information.
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