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Inside Neo4j's Agent Memory
The knowledge-graph patterns that turn one-shot conversations into compounding intelligence.
May 19
•
Paul Iusztin
25
2
3
From Vibe Coding to a Real Engineering Team
My Claude Code agentic coding setup that ships features end-to-end
May 12
•
Paul Iusztin
50
7
8
Building Agentic GraphRAG Systems
From knowledge graphs and ontologies to a unified memory as an MCP server for your AI agent.
May 5
•
Paul Iusztin
66
8
Karpathy Named It. I Built One on My Notes.
A deep research agent over my notes, highlights, and transcripts, grounded in years of curated thinking, not the public web.
Apr 21
•
Paul Iusztin
69
8
11
How to Ship a Weekly Article in One Day
Inside the agentic AI workflow behind my weekly newsletter, course, and content
Apr 15
•
Paul Iusztin
48
15
8
The AI Evals Roadmap I Wish I Had
From vibe checking to trusted agents in production
Mar 24
•
Paul Iusztin
70
6
9
Why RAG Has Exactly 6 Failure Modes. No More, No Less.
A complete guide for evaluating your retrieval-augmented generation systems.
Mar 17
•
Paul Iusztin
39
6
4
Our LLM Judge Passed Everything. It Was Wrong.
Align your evaluator with human judgment, or don't trust it at all.
Mar 10
•
Paul Iusztin
22
7
4
How to Design Evaluators That Catch What Actually Breaks
The practical guide to code-based checks, LLM judges, and rubrics for real-world AI apps
Mar 3
•
Paolo Perrone
24
6
5
Generate Synthetic Datasets for AI Evals
5 strategies from cold start to 450 diverse inputs in minutes
Feb 24
•
Paul Iusztin
31
7
5
No Evals Dataset? Here's How to Build One from Scratch
Build evaluators to signal problems that users actually care about. Step-by-step guide.
Feb 17
•
Paul Iusztin
30
1
4
Integrating AI Evals Into Your AI App
The holistic guide: From optimization to production monitoring
Feb 10
•
Paul Iusztin
44
8
8
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