IndyDevDan | USEFUL Agentic Workflow: AUTO-Updating Blog with Claude 3.5 Sonnet @indydevdan | Uploaded July 2024 | Updated October 2024, 3 hours ago.
What if you could build an Agentic Workflows that worked while you slept?
Discover how to create powerful agentic workflows that can run, prompt, and report automatically by looking at a real use case. This video explores a piece of the future of engineering, showing you how to build systems that work for you while you sleep.
🔬 We dive deep into:
• The structure of sequential agentic workflows
• How to use prompt chains for complex reasoning
• Techniques for auto-updating content with AI
• Integrating notifications into your agentic workflows
🚀 Learn to harness the power of:
• Build agentic workflows that can make decisions and take action
• Claude 3.5 Sonnet insane accuracy and instruction following
• Prompt engineering for real-world use cases
👨💻 Perfect for:
• Engineers obsessed with automation
• AI engineers and prompt engineers
• Developers exploring agentic systems
🔑 Key takeaways:
• Step-by-step breakdown of agentic workflow components
• Tips for building robust, self-improving agentic workflows
• Steps to create "living software" that evolves over time
Don't miss this in-depth look at the future of AI development. Like, subscribe, and hit the notification bell to stay updated on the latest in agentic engineering and AI workflows!
🔥 When to use prompt chains:
youtu.be/UOcYsrnSNok
✅ Minimalist Prompt Chain Code
gist.github.com/disler/d51d7e37c3e5f8d277d8e0a71f4a1d2e
🔗 Resources
Pub/Sub Notifications: https://ntfy.sh/
Python Schedule: schedule.readthedocs.io/en/stable
📖 Chapters
00:00 Prompts, Prompt Chains, Agentic Workflows
01:23 Auto Blog Agentic Workflow Demo
02:10 NTFY - Crucial Notification Tool
03:20 Breaking Down the Workflow Steps
05:43 Agentic Step - Running the Prompt Chain
10:30 Sequential Agentic Workflow Steps
14:59 5 Tips for Building Agentic Workflows
16:54 The Future - Less Code, More Agent Work
17:40 LLM Killer User Case - Living Software
#agentic #promptengineer #aiagents
What if you could build an Agentic Workflows that worked while you slept?
Discover how to create powerful agentic workflows that can run, prompt, and report automatically by looking at a real use case. This video explores a piece of the future of engineering, showing you how to build systems that work for you while you sleep.
🔬 We dive deep into:
• The structure of sequential agentic workflows
• How to use prompt chains for complex reasoning
• Techniques for auto-updating content with AI
• Integrating notifications into your agentic workflows
🚀 Learn to harness the power of:
• Build agentic workflows that can make decisions and take action
• Claude 3.5 Sonnet insane accuracy and instruction following
• Prompt engineering for real-world use cases
👨💻 Perfect for:
• Engineers obsessed with automation
• AI engineers and prompt engineers
• Developers exploring agentic systems
🔑 Key takeaways:
• Step-by-step breakdown of agentic workflow components
• Tips for building robust, self-improving agentic workflows
• Steps to create "living software" that evolves over time
Don't miss this in-depth look at the future of AI development. Like, subscribe, and hit the notification bell to stay updated on the latest in agentic engineering and AI workflows!
🔥 When to use prompt chains:
youtu.be/UOcYsrnSNok
✅ Minimalist Prompt Chain Code
gist.github.com/disler/d51d7e37c3e5f8d277d8e0a71f4a1d2e
🔗 Resources
Pub/Sub Notifications: https://ntfy.sh/
Python Schedule: schedule.readthedocs.io/en/stable
📖 Chapters
00:00 Prompts, Prompt Chains, Agentic Workflows
01:23 Auto Blog Agentic Workflow Demo
02:10 NTFY - Crucial Notification Tool
03:20 Breaking Down the Workflow Steps
05:43 Agentic Step - Running the Prompt Chain
10:30 Sequential Agentic Workflow Steps
14:59 5 Tips for Building Agentic Workflows
16:54 The Future - Less Code, More Agent Work
17:40 LLM Killer User Case - Living Software
#agentic #promptengineer #aiagents
