Building blocks · 10 posts

AI building blocks

The open source pieces — vector databases, observability, agents, memory — that make an AI-run business possible.

Agent Hive bee mascot hero illustration for the post "Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks".

Shield Synthesis as Defensibility Analysis for Agent…

Shielded RL is usually pitched as a runtime guard. The same automata-theoretic machinery produces a more useful artifact: an offline defensibility audit.

Jun 15, 2026· 9 min read

Agent Hive bee mascot hero illustration for the post "SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation".

AI building blocks

SkMTEB: The Slovak Text Embedding Benchmark Explained

SkMTEB is the first MTEB-style benchmark for Slovak, covering 31 datasets across 7 task types to help operators pick the right embedding model.

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AI building blocks

Shield Synthesis as Defensibility Analysis for Agent…

SkMTEB: The Slovak Text Embedding Benchmark Explained

Run an AI-native business. Ship while you sleep.

AI Agent Guidelines for CS336 at Stanford Explained

Auditing Asset Bias in Financial LLMs: Bitcoin Evidence

Qdrant vs Milvus vs ChromaDB: Vector Database Performance Benchmarks

11 Best Open-Source LLM Observability and Evaluation Tools in 2026

How to Build a Local LLM Stack: Ollama + Open WebUI + ChromaDB

10 Open-Source Alternatives to ChatGPT You Can Self-Host This Weekend

12 Best Open-Source Vector Databases in 2026

Mem0 vs Letta vs Zep: Open-Source AI Agent Memory Compared