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A machine passed a legal examination. The legal profession shrugged. Kant explains why.

The Strangler Strangler Flow (hereafter: the AI Strangler Flow) reimagines legacy system displacement for the agentic AI era. Unlike traditional big-bang rewrit...

Kant shows that someone must set the goals, Gödel that someone must evaluate the system from outside, and Wittgenstein that some practices dissolve entirely when the human is removed: together they establish that the human role in AI-enabled work is structural, not transitional.

Logic-Guard-Layer (LGL) is a software architecture designed to close the structural reliability gap in LLM outputs without modifying the underlying model.

The Demo of the Multi-Agent Energy Market Simulation with Lightning Network payments and Mean-Field Game Theory (see the paper)

A slightly irreverent guide to neuro-symbolic validation of Large Language Model outputs

The Demo Implementation of the Logic Guard Layer Whitepaper

This whitepaper presents a decentralized negotiation framework for local energy and resource markets and guides the reader from first principles to implement...

The most famous moral rule ever written overlooks one important aspect: time. This is the crack that opens when you point it at AI, the small fix that closes it, and the one seat no equation will ever fill.