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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
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Paul Iusztin
33
3
7
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
69
5
8
December 2025
From 100+ AI Tools to 4: My Prod Stack
How simplicity beats complexity in real AI systems
Dec 30, 2025
•
Paul Iusztin
53
13
5
We Killed RAG, MCP, and Agentic Loops. Here's What Happened.
A brutally honest case study of building our vertical AI agent and shipping it to production.
Dec 23, 2025
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Paul Iusztin
52
5
10
November Highlights: From Foundations To Production AI
AI Agents series finale. Controlling LLM output. Vertical AI agents & The Evals series.
Dec 18, 2025
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Paul Iusztin
13
6
1
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
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Paul Iusztin
127
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
46
12
6
How Does Memory for AI Agents Work?
The 4 memory types every AI agent needs
Dec 2, 2025
•
Paul Iusztin
75
7
13
November 2025
Being too passive started to bother me
Finally, officializing the Decoding AI Magazine chat.
Nov 26, 2025
•
Paul Iusztin
11
2
3
The Underrated Science of LLM Samplers
The secret sauce for balancing diversity, quality and precision
Nov 25, 2025
•
Shmulik Cohen
45
9
7
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
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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
66
5
8
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