Method · Browse by topic

The archive, mapped

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.

Back to principles Reading paths

PrincipleAll Explicit Control Loops Evidence First, Measure Before You Optimize Classify Failures, Then Choose Recovery One Config, Many Surfaces Contract-Driven Integration GitOps for Reviewable Operations

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

Matching the filter

3 items

Operating a Kubernetes LLM Platform on Consumer GPUsCase studyJan 15, 2026
How I evolved a small AMD GPU cluster into a CRD-driven inference platform with an OpenAI-compatible boundary, evidence-based model promotion, and safe rollouts.
Evidence First, Measure Before You Optimize GitOps for Reviewable Operations Playbook: AI Infrastructure Readiness Audit
Optimizing Real-Time Kubernetes VisualizationsDec 25, 2025 · 8 min
What the current FlexDeck code does to keep Canvas 2D and Three.js cluster views responsive, and how its performance harness avoids unsupported frame-rate claims.
Evidence First, Measure Before You Optimize
Patient Matching When the API Contract Is AmbiguousCase studyDec 19, 2025
A de-identified field pattern for containing patient-match risk when filter and mode parameters interact in undocumented ways.
Explicit Control Loops Evidence First, Measure Before You Optimize Classify Failures, Then Choose Recovery Contract-Driven Integration Playbook: Healthcare Integration Onboarding