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From Harness Lock-In to Portable Context Layer
Build a unified memory (knowledge graph or an LLM wiki) and serve it over MCP servers or skills, so any agent, open or closed, plugs in within minutes.
Jun 30
•
Paul Iusztin
27
15
2
Build, Configure, or Use As-Is: The Agentic Harness
A component-by-component teardown of an agentic harness, from tools and skills to memory, sandbox, and permissions.
Jun 9
•
Paul Iusztin
56
2
6
Inside Neo4j's Agent Memory
The knowledge-graph patterns that turn one-shot conversations into compounding intelligence.
May 19
•
Paul Iusztin
48
3
6
From Vibe Coding to a Real Engineering Team
My Claude Code agentic coding setup that ships features end-to-end
May 12
•
Paul Iusztin
80
7
13
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
76
1
10
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
74
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
49
15
8
The AI Evals Roadmap I Wish I Had
From vibe checking to trusted agents in production
Mar 24
•
Paul Iusztin
71
6
10
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
40
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
23
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
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