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How to Design Python AI Projects That Don't Fall Apart
A framework-agnostic approach to modular agents, workflows, and LLM apps using the pragmatic clean architecture design.
Jan 13
•
Paul Iusztin
58
4
12
The Realistic Guide to Mastering AI Agents in 2026
From zero to production in 6–9 months. What to learn, what to skip, and why most tutorials fail.
Jan 6
•
Paolo Perrone
86
5
12
The AI Agents Roadmap Nobody Is Teaching You
9 lessons: from workflows to planning and multimodal AI agents. From scratch. Framework free.
Dec 16, 2025
•
Paul Iusztin
130
6
16
Stop Converting Documents to Text. You're Doing It Wrong.
How to work with multimodal agents: images, PDFs, audio, and... text.
Dec 9, 2025
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Paul Iusztin
47
12
7
How Does Memory for AI Agents Work?
The 4 memory types every AI agent needs
Dec 2, 2025
•
Paul Iusztin
75
7
14
Building Production ReAct Agents From Scratch Is Simple
I read LangGraph's implementation so that you can build your own, as AI frameworks just bloat your code.
Nov 18, 2025
•
Paul Iusztin
42
4
6
You're Not Building Agents: Learn the Fundamentals From Scratch
Why planning is the missing piece between tool loops and true AI agents.
Nov 11, 2025
•
Paul Iusztin
67
4
8
Tool Calling From Scratch to Production: The Complete Guide
Master the fundamentals through a deep research agent to learn to properly implement, use, and debug tools in any AI system.
Oct 28, 2025
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Paul Iusztin
50
5
6
Stop Building AI Agents. Use These 5 Patterns Instead.
Master the workflow patterns that solve 95% of production problems.
Oct 21, 2025
•
Paul Iusztin
101
4
12
Structured Outputs: The Silent Hero of Production AI
How to master LLM outputs for reliable AI systems
Oct 14, 2025
•
Paul Iusztin
48
6
7
AI Workflows vs Agents: The Autonomy Slider
What only the top 10% AI engineers who ship think about
Oct 7, 2025
•
Paul Iusztin
122
18
15
Context Engineering: 2025’s #1 Skill in AI
Everything you must know about context engineering to ship successful AI apps
Jul 22, 2025
•
Paul Iusztin
295
16
35
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