Resource Library

All the tools, frameworks, and practice guides you need to become an Agentic Engineer.

Tools & Platforms

💬
Phase 1

ChatGPT

OpenAI's conversational AI — perfect for practicing prompts, getting explanations, and building workflows.

AI AssistantOpen
🧡
Phase 1

Claude

Anthropic's AI assistant — great for long documents, nuanced reasoning, and safe AI exploration.

AI AssistantOpen
💻
Phase 1

Replit

A browser-based coding environment — write and run Python without installing anything.

CodingOpen
🔌
Phase 2

OpenAI API

The developer API for GPT models — use it to build custom AI-powered Python scripts and apps.

Phase 2

Zapier

No-code automation platform — connect apps and build trigger-action workflows without writing code.

AutomationOpen
Phase 4

GitHub

Version control and portfolio platform — store your code, track changes, and share your projects.

Developer ToolsOpen
📝
Phase 3

Notion

All-in-one workspace — great for documenting AI workflows, storing research, and organizing projects.

ProductivityOpen
🗄️
Phase 3

SQLite

A lightweight database — perfect for giving your AI agents memory and tracking workflow state.

DatabaseOpen

Weekly Practice Framework (5–7 Hours)

📚
1h

Learn a new concept

Read, watch, or explore a new AI topic from the current module.

🔨
2h

Build a small project

Apply what you learned by building something — even if it's tiny.

1h

Improve a past project

Go back to something you built and make it better.

🔍
1h

Debug and optimize

Find what's broken or slow and fix it. This is where real learning happens.

📝
1h

Reflect and document

Write down what you learned, what broke, and what you'd do differently.

Weekly Reflection Questions

Ask yourself these questions at the end of every week to accelerate your learning:

1

What step broke?

2

Why did it fail?

3

How can I reduce human involvement?

4

What would make this more reliable?

5

What did I learn that surprised me?

Common Beginner Mistakes (and How to Fix Them)

🔍
❌ Mistake

Treating AI Like Google

✅ Fix

Give structured instructions with role, context, and format.

❌ Mistake

Accepting the First Output

✅ Fix

Always add an evaluation step. Ask AI to review its own answer.

🏗️
❌ Mistake

Over-automating Too Early

✅ Fix

Build in layers. Get one step working before connecting the next.

🐛
❌ Mistake

Ignoring Errors

✅ Fix

Log every failure. Test one small component at a time.

🧠
❌ Mistake

Not Understanding the Code

✅ Fix

Rewrite it manually and explain the logic out loud.

How to Measure Your Progress

🦅

Independence

Can you design workflows without templates?

🔍

Debugging Ability

Do you isolate errors quickly and systematically?

🤖

Less Human Input

Can you remove unnecessary manual steps?

🎯

Evaluation Depth

Can you critique AI output effectively?

📝

Documentation Quality

Do you explain your systems clearly to others?

🏆

Final Test

Build a system from scratch without step-by-step guidance.