Uploaded December 2025 | Updated September 2026, 1 week ago
Tired of spending hours researching and drafting LinkedIn posts? What if you had a 3-agent professional team doing it for you in 60 seconds? 🚀
In this tutorial, we build a high-performance Agentic LinkedIn Post Architect using CrewAI, FastAPI, and UV. This isn't just a simple wrapper; it's a specialized multi-agent workflow that:
1. 🧠 Market Analyst: Researches trends and audience behavior.
2. ✍️ Executive Copywriter: Crafts high-impact posts with strategic hooks.
3. 📁 Operations Manager: Packages everything into a professional "Content Blueprint" PDF.
We’ll be using Local LLMs (via LM Studio) to keep it 100% private and cost-free, and UV for blazing-fast dependency management.
[WHAT YOU WILL LEARN]
- How to orchestrate multiple agents with CrewAI.
- Integrating CrewAI with a FastAPI backend.
- Using local models (GLM-4.6V-Flash) for agentic workflows.
- Professional document generation (PDF) within an AI pipeline.
- High-speed project setup with UV.
Timestamps:
00:00 - Introduction: The Problem & Solution
00:40 - Preview of the Generated PDF Report
01:29 - Architecture: API Endpoints & Local LLM Setup
01:56 - Step 1: Setting up LM Studio & Downloading GGUF Models
02:43 - Configuring LM Studio Developer Mode & Context Length
03:48 - Step 2: Getting Serper Dev API Key for Google Search
04:20 - Step 3: Fast API & UV Package Manager Overview
05:11 - Project Dependencies & Requirements
05:46 - Folder Structure & Agent Configuration
06:29 - LLM Setup: Connecting CrewAI to Local LLM
07:27 - Agent 1: Executive LinkedIn Copywriter (The Writer)
08:44 - Agent 2: Search Agent (The Researcher)
09:20 - Agent 3: Publisher Agent & Custom PDF Tool
11:00 - Deep Dive: Custom PDF Generator Code
12:34 - Database Setup: SQLite 3 for Workflow Tracking
14:20 - Workflow Logic: Creating & Managing Tasks
15:58 - Defining Multi-Agent Tasks (Research, Content, Publishing)
18:03 - Executing the Crew & Manager LLM Setup
19:38 - FastAPI Integration: Creating API Routes
21:56 - Postman Demo: Tracking Workflow Status & IDs
23:48 - Approval System: Human-in-the-Loop Logic
25:25 - Background Tasks & Progress Tracking in FastAPI
29:08 - Full Project Demo: Building a 2026 AI Agent
32:50 - Tracking Live LLM Progress in Console
36:14 - Final Output: Reviewing the Generated LinkedIn Post PDF
38:33 - Approving the Workflow via API
39:12 - Conclusion & Next Steps (Direct LinkedIn Posting)
[LINKS & RESOURCES]
- GitHub Repo: [github.com/tayyabmughal676/social-agentic-crew-ai]
- CrewAI Documentation: docs.crewai.com
- LM Studio: lmstudio.ai
- UV Package Manager: github.com/astral-sh/uv
@freecodecamp
## 🏷️ Best Hashtags
#crewai #aiagents #linkedinautomation #pythontutorial #localllm #AgenticWorkflow #fastapi #artificialintelligence #contentautomation #webdevelopment #freecodecamp #restful #mobileapp #opensourceai
#agenticai #localllm #lmstudio #AIAutomation #contentstrategy #opensourceai #llm #automation #ParhoLikhoCS
Tired of spending hours researching and drafting LinkedIn posts? What if you had a 3-agent professional team doing it for you in 60 seconds? 🚀
In this tutorial, we build a high-performance Agentic LinkedIn Post Architect using CrewAI, FastAPI, and UV. This isn't just a simple wrapper; it's a specialized multi-agent workflow that:
1. 🧠 Market Analyst: Researches trends and audience behavior.
2. ✍️ Executive Copywriter: Crafts high-impact posts with strategic hooks.
3. 📁 Operations Manager: Packages everything into a professional "Content Blueprint" PDF.
We’ll be using Local LLMs (via LM Studio) to keep it 100% private and cost-free, and UV for blazing-fast dependency management.
[WHAT YOU WILL LEARN]
- How to orchestrate multiple agents with CrewAI.
- Integrating CrewAI with a FastAPI backend.
- Using local models (GLM-4.6V-Flash) for agentic workflows.
- Professional document generation (PDF) within an AI pipeline.
- High-speed project setup with UV.
Timestamps:
00:00 - Introduction: The Problem & Solution
00:40 - Preview of the Generated PDF Report
01:29 - Architecture: API Endpoints & Local LLM Setup
01:56 - Step 1: Setting up LM Studio & Downloading GGUF Models
02:43 - Configuring LM Studio Developer Mode & Context Length
03:48 - Step 2: Getting Serper Dev API Key for Google Search
04:20 - Step 3: Fast API & UV Package Manager Overview
05:11 - Project Dependencies & Requirements
05:46 - Folder Structure & Agent Configuration
06:29 - LLM Setup: Connecting CrewAI to Local LLM
07:27 - Agent 1: Executive LinkedIn Copywriter (The Writer)
08:44 - Agent 2: Search Agent (The Researcher)
09:20 - Agent 3: Publisher Agent & Custom PDF Tool
11:00 - Deep Dive: Custom PDF Generator Code
12:34 - Database Setup: SQLite 3 for Workflow Tracking
14:20 - Workflow Logic: Creating & Managing Tasks
15:58 - Defining Multi-Agent Tasks (Research, Content, Publishing)
18:03 - Executing the Crew & Manager LLM Setup
19:38 - FastAPI Integration: Creating API Routes
21:56 - Postman Demo: Tracking Workflow Status & IDs
23:48 - Approval System: Human-in-the-Loop Logic
25:25 - Background Tasks & Progress Tracking in FastAPI
29:08 - Full Project Demo: Building a 2026 AI Agent
32:50 - Tracking Live LLM Progress in Console
36:14 - Final Output: Reviewing the Generated LinkedIn Post PDF
38:33 - Approving the Workflow via API
39:12 - Conclusion & Next Steps (Direct LinkedIn Posting)
[LINKS & RESOURCES]
- GitHub Repo: [github.com/tayyabmughal676/social-agentic-crew-ai]
- CrewAI Documentation: docs.crewai.com
- LM Studio: lmstudio.ai
- UV Package Manager: github.com/astral-sh/uv
@freecodecamp
## 🏷️ Best Hashtags
#crewai #aiagents #linkedinautomation #pythontutorial #localllm #AgenticWorkflow #fastapi #artificialintelligence #contentautomation #webdevelopment #freecodecamp #restful #mobileapp #opensourceai
#agenticai #localllm #lmstudio #AIAutomation #contentstrategy #opensourceai #llm #automation #ParhoLikhoCS
