Notes, methods, and field reports from Graylark Labs.
Longer-form writing from active projects across Graylark LRM, InsightMesh, Graylark Polyglot,
EU AI Act classification, and enterprise-safe autonomous execution supporting
Graylark Technologies.
· Engineering · 8 min read
Reading the EU AI Act as an Engineering Specification for Workplace AI
Deployer obligations for high-risk workplace AI translated into system requirements: provenance-grade logging, human oversight as UX, worker notification workflows, and change management with a loop in it.
Pay Equity as a Data Engineering Problem: Preparing for Directive (EU) 2023/970
The Pay Transparency Directive as a data brief: equal-value categories as data modelling, pay assembly across fragmented systems, small-group discipline, and reproducible runs that survive scrutiny.
Compliance as Code: How We Built Our Own Automated ISMS and Pen-Testing Framework
Why we built our own automated compliance-evidence and penetration-testing framework instead of buying a platform - and why continuous, evidence-based proof can stand alongside a once-a-year external pen test.
How We Built Model Forge: Autonomous Training Infrastructure for Domain-Specific LLMs
How we built autonomous training infrastructure using autoresearch, knowledge distillation, and structured legal training data to produce domain-specific LLMs for European labour relations.