I'm writing a book: "The Agent Paradigm"
After building AI agents for the past 2 years, I realized something:
Most developers are learning agents wrong.
They jump into frameworks. Copy code from tutorials. Build demos that break in production.
But nobody explains the paradigm shift that's actually happening.
The full chapter list:
0: The Automation Story
1: The Paradigm Shift
2: The Agent Loop
3: Prompts & Instructions
4: Tools
5: Context Engineering
6: Events & Plugins
7: Multi-Agent Systems
8: Trust & Safety
9: ML & Model Development
10: Evaluation & Error Handling
11: Deployment
12: Design Principles
13: The Future
Each chapter covers:
→ What problem it solves
→ How different approaches handle it
→ Landscape analysis (companies, trends)
→ Concrete opportunities
Who it's for:
- Developers who want to understand agents deeply
- Founders evaluating the agent space
- Investors spotting real opportunities vs. hype
I need your help:
Which chapter do you want me to finish first?
Comment below with the chapter number (0-13), and I'll prioritize based on what you want to read.
Follow along:
→ Docs: https://docs.connectonion.com
→ GitHub: https://github.com/connectonion/connectonion
→ Discord: https://discord.gg/4xfD9k8AUF
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