Topics

The fawn response in language models, where it moves when one layer is suppressed, and the stance layer that decides whether a model holds a correct answer under pressure.

Continuous conformity for deployed AI systems, the gate that checks this site on every push, and the standards and regulations the requirements map to, from the EU AI Act to ISO 42001.

Running software and agents in production. Incidents written blameless, runbooks, error budgets, toil, and the operations practice that carries over to language models.

Prometheus, Loki and Grafana behind the public dashboards, the alert rules and SLOs, and the status page that reads the published records.

What the platform costs and how it is metered. The cost model, unit economics, showback, budgets and alerts, an anomaly case and a FOCUS export.

Language models at work inside a harness of instruction files, hooks, memory and a knowledge vault, and what the harness holds where an instruction alone fails.

Experiments with predictions hashed before the first call, a mechanical grader, red-teaming read as chaos engineering, and a self-assessment with a second rater wanted.