🔥 Learn how to build effective AI agent workflows with PraisonAI! This comprehensive guide covers controlled vs uncontrolled AI agents and shows you how to implement intelligent task orchestration.
🚀 In this video, you'll learn:
The difference between controlled and uncontrolled AI agents
How to implement AI workflows using PraisonAI
Step-by-step guide to creating tools, agents, and tasks
Building your first AI agent workflow
Practical implementation with minimal code
💻 Code Implementation Steps:
pip install praisa.o.search
Export OpenAI API key
Create and implement tools, agents, and tasks
Set up workflow orchestration
🔍 Key Concepts Covered:
Workflow Types: Sequential, Hierarchical, and Controlled
Prompt Chaining
Workflow Routing
Workflow Parallelization
Orchestrated Workers
Evaluator Optimizer
⚡ Benefits of Controlled AI Agents:
Reliable outcomes
Error tracking
Cost efficiency
Audit capability
Performance metrics
🛠️ Resources:
GitHub: https://github.com/MervinPraison/Prai...
Code: https://mer.vin/2024/12/praisonai-wor...
📚 Related Content:
#AIAgents #PraisonAI #ArtificialIntelligence #Programming #Tutorial #TechTutorial #AIWorkflow #SoftwareDevelopment #CodingTutorial #AI
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Timestamp:
0:00 - Introduction to Anthropic's article on AI agents
0:35 - Comparison of controlled and uncontrolled agents' characteristics
0:57 - Introduction to Praison AI workflows solution
1:36 - Creating a basic AI agent workflow example
2:16 - Different workflow patterns from Anthropic's blog
3:37 - Starting the practical implementation
4:09 - Creating tools and agents step-by-step
5:29 - Setting up the workflow configuration
6:22 - Demo of the working implementation
7:01 - Conclusion
