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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 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

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A One-Page AI Usage Policy That Actually WorksApr 20, 2026 · 4 min
A short, adoptable AI usage policy for engineering teams: what to put on the page, what to leave off, and why the policy matters less than the habits it makes explicit.
Explicit Control Loops Playbook: AI-Assisted Dev Adoption Loop
The First 90 Days: Introducing AI-Assisted Dev to a New TeamApr 20, 2026 · 8 min
A 90-day rollout for AI-assisted development: start with bounded habits, measure the work, and standardize only after the team has evidence.
Explicit Control Loops Playbook: AI-Assisted Dev Adoption Loop
Build Your Own Legs Before the Crutches FailMar 9, 2026 · 13 min
How I use AI drafts to build engineering judgment through inspection, regression tests, code review, and repeatable release checks.
Explicit Control Loops Playbook: AI-Assisted Dev Adoption Loop Playbook: Agent Rollout With Guardrails