Insights

Notes for serious AI infrastructure

MDX-backed articles ship with the site—extend the src/content/insights folder to add posts.

• LLM Reliability

  LLM Reliability in Production

  Calibration, refusal policies, and fallbacks—so ‘non-deterministic’ does not mean ‘unaccountable.’

  2026-04-08

• Platform Engineering

  Platform Engineering for AI Workloads

  Golden paths for inference, batch, and retrieval—same rigor you expect from Kubernetes, applied to the AI stack.

  2026-04-02

• AI Governance

  AI Governance That Survives Procurement

  Policy-as-code, human-in-the-loop gates, and audit exports that match how enterprises actually buy software.

  2026-03-22

• AI Observability

  AI Observability — Beyond Dashboards

  Treat models like services: traces, SLOs, and error budgets for inference paths—not just GPU graphs.

  2026-03-18