How I Automated My Workflow with AI Agent Teams
In this video we will use the power of AI Agent Teams to create a KZfaq Video Research team that will research videos based on keywords, generate titles, descriptions and an X post for promoting the video. All with a free, open source platform called FlowiseAI.
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🕒 TIMESTAMPS:
00:00 - Intro
00:36 - Project Demo
03:26 - Creating the Agentflow
03:46 - Adding the Supervisor
05:53 - Adding the Title Generator Worker
07:24 - Video Description Worker
08:49 - Adding Research Specialist Worker
09:50 - Adding Custom Tools
10:55 - KZfaq Search Tool
13:05 - Get Video Details Tool
14:26 - Channel Details Tool
15:35 - Creating a Google Platform API Key
16:46 - Setting Global Variables
19:41 - Report Writer Worker
21:23 - Improving the Supervisor
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- KZfaq Search Tool
-------------------------------------------------------------
const fetch = require('node-fetch');
const url = `www.googleapis.com/youtube/v3...{$keywords}&maxResults=5&type=video&key=API_KEY`;
const options = {
method: 'GET',
headers: {
'Content-Type': 'application/json'
}
};
try {
const response = await fetch(url, options);
const data = await response.json();
return data;
} catch (error) {
console.error(error);
return '';
}
-------------------------------------------------------------
- Video Details Tool
-------------------------------------------------------------
const fetch = require('node-fetch');
const url = `www.googleapis.com/youtube/v3...{$video_id}&key=API_KEY`;
const options = {
method: 'GET',
headers: {
'Content-Type': 'application/json'
}
};
try {
const response = await fetch(url, options);
const data = await response.json();
return data;
} catch (error) {
console.error(error);
return '';
}
-------------------------------------------------------------
- Channel Details Tool
-------------------------------------------------------------
const fetch = require('node-fetch');
const url = `www.googleapis.com/youtube/v3...{$channel_id}&key=API_KEY`;
const options = {
method: 'GET',
headers: {
'Content-Type': 'application/json'
}
};
try {
const response = await fetch(url, options);
const data = await response.json();
return data;
} catch (error) {
console.error(error);
return '';
}
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