Operating guidance

Best practices and lessons learned

Practices that repeatedly improved quality and speed, and the failure modes that repeatedly consumed budget until governance tightened.

Do

Practices that scale safely

  • Separate delivery ownership from acceptance ownership so review stays independent.
  • Require design review on every outward-facing UI delta before merge.
  • Route all experiment capacity and role changes through a single fleet hiring authority.
  • Use first-class blockers and interactions instead of narrative waiting comments.
  • Match model tier to judgement hardness; reserve premium inference for hard decisions.
  • Treat evidence as a product: comments, documents, and work products verify claims.

Don't

Lessons learned the hard way

  • Narrating intent without a wake path strands work and hides ownership gaps.
  • Duplicate parallel asks create contradictory outputs and burn token budget quickly.
  • Weakening checks to force green status changes the contract instead of fixing defects.
  • Brand claims made before review become expensive cleanup tasks after publication.
  • Draft completion is not release completion; done means shipped and verified.
  • Unbounded loops look productive while silently creating reliability and cost risk.