EngineersGovernance & Compliance
Technical readiness checklist for AI in production
Eight verifiable blocks, each with required evidence, to decide whether an AI system is ready for production — not just for a demo.
5 min read
Tag
#Observability
5 publications with this tag.
EngineersGovernance & Compliance
Instrumenting cost and quality in AI production
How to measure tokens and cost per unit of work, attribute spend by team, monitor quality, and back your ROI calculation with real data.
4 min read
EngineersGovernance & Compliance
Capture pipeline for AI interactions: from conversation to auditable knowledge
How to design the event schema, partitioning, retention, and indexing needed to turn prompts, retrieved context, and human edits into a reusable knowledge asset.
4 min read
EngineersAI & Agents
Continuous LLM evaluation: regression datasets that survive model swaps
How to build a regression dataset from real cases, pick metrics that matter, and use an LLM-as-judge calibrated against human review to block bad deploys in CI.
5 min read
EngineersAI & Agents
Reference architecture for enterprise AI: layers, contracts, and perimeter
Model gateway, orchestration, retrieval, memory, identity, observability, and audit trail: the technical design behind an enterprise AI that isn't locked to a single vendor.
4 min read
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