Rule Cascade
Playbooks

Playbooks

Task-oriented procedures. Numbered steps, commands to copy, and a check that tells you when you are done.

Each playbook is a procedure for one task. Steps are numbered and meant to be followed in order; every command runs from the repository root unless a step says otherwise; each playbook ends with a Done when check you can verify.

TaskPlaybook
Change a rule and get it to productionAuthor and ship a rule change
Drive a form from the rulesAdd rule enforcement to a React form
Make the API the place that decidesEnforce in a backend API (Java, Node.js, Go, Python)
Use the rules from Ruby, PHP, Rust, C#, a shell script ...Run rules from any other language
Check thousands of recordsBatch processing
Let an LLM agent check before it actsAI agent tools
Organisation baseline, feature rules, field targetsMulti-level inheritance and overrides
Run the HTTP rule server in productionDeploy the rule server on Kubernetes
RULE-EVALUATION-ERROR findings are risingIncident: RULE-EVALUATION-ERROR spike

The playbooks build on the enforcement guide, which states each obligation with MUST and SHOULD and ends with an audit checklist.

Source: site/content/docs/playbooks/index.mdx