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Every blog post and case study on the site with the principles and playbooks each piece argues for. Filter by any principle or playbook to see just the evidence behind it.

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PrincipleAll Explicit Control Loops Evidence First, Measure Before You Optimize Warnings Over Errors, Graceful Degradation by Default One Config, Many Surfaces Contract-Driven Integration GitOps as the Boring Substrate

PlaybookAI-Assisted Dev Adoption Loop AI Infrastructure Readiness Audit Healthcare Integration Onboarding Agent Rollout With Guardrails

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fi-fhir: Format-Agnostic Healthcare IntegrationCase studyJan 13, 2026
A case study in healthcare integration: how Source Profiles, a three-phase parsing pipeline, and a workflow DSL turn messy legacy formats into semantic events.
Warnings Over Errors, Graceful Degradation by Default One Config, Many Surfaces Contract-Driven Integration Playbook: Healthcare Integration Onboarding
Standing Up a GPU-Ready Private AI Platform (Harvester + K3s + Flux + GitLab)Dec 29, 2025 · 6 min
Field notes from building and operating a small private GPU platform with Harvester, K3s, and a GitLab -> Flux delivery loop.
One Config, Many Surfaces GitOps as the Boring Substrate Playbook: AI Infrastructure Readiness Audit
Building a Real-Time Kubernetes Operations DashboardCase studyNov 1, 2025
How I built FlexDeck, a full-stack operations dashboard with real-time K8s monitoring, GitLab CI/CD visualization, and AI model management using Go and SolidJS.
Explicit Control Loops One Config, Many Surfaces GitOps as the Boring Substrate