Before You Scale the AI, Fix the Evaluation
Once an AI system makes measurable decisions in production, evaluation decides whether you can trust it. Five learning outcomes on metrics, operating points, and the handoffs between ML and generative AI.
Once an AI system makes measurable decisions in production, evaluation decides whether you can trust it. Five learning outcomes on metrics, operating points, and the handoffs between ML and generative AI.

65 minutes
Deciding, server by server, whether an ADK agent on Agent Runtime calls its MCP tools as the employee or as itself: on-behalf-of tokens for …
25 minutes
An agent can only explain what your data platform can explain. How business rules, their history, and corrections are engineered from the …

43 minutes
How an employee's Microsoft Entra sign-in reaches an ADK agent on Agent Runtime: the token checks, the session binding, who else can call …

45 minutes
A reference operations agent on Google Cloud, threat-modelled against OWASP and MITRE ATLAS, with a first control: a deny-by-default policy …

6 minutes
A 71-page operating manual for engineering leaders whose software has started to reason, decide, and write the software that carries out …

10 minutes
A preview of the next GATE release: a per-control ISO/IEC 42001 mapping with the asymmetry written down, streaming-aware output validation, …

16 minutes
A text-to-SQL agent's system prompt cannot enforce a data rule. sql-guard v0.2.0 puts the rule in a parser instead, and closes eight …

7 minutes
Two weeks ago I argued that your ontology is the asset and you should own it in a neutral, versioned form. Arguing is cheap. Arkhe v0.2 is …

10 minutes
Agentic AI post-mortems keep naming the same trio: determinism failures, hallucinations, and compliance gaps. An ontology retires all three, …

6 minutes
The UN's first scientific assessment of AI says safety assurance still runs on developer goodwill, not verification. Here is what …

25 minutes
A review of Google's multi-tenant agentic AI reference architecture stage by stage, naming trade-offs at each decision point and filling the …

10 minutes
Regulators do not ask for documents. They ask for systems that behave a certain way and the ability to prove it. We introduce Sakura Sky's …
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