Course 2: Grow the company · Chapter 3

Teach the company

Put private context, shared guidance and deterministic behavior in their proper trust boundaries.

4 minute chapter

Chapter outline

Learning is not one database

The company retains different kinds of knowledge at different trust levels:

  • Mate memory recalls fallible private preferences and context;
  • project instructions preserve project-intrinsic facts through normal review;
  • Fleet guidance captures reviewed organizational judgment;
  • SQL or TypeScript enforces deterministic invariants;
  • evaluation freezes evidence of what actually happened.

Memory is useful precisely because it can remain lightweight and personal. It is not Fleet authority and cannot override current database state, Git, provider evidence or human approval.

Remember a Captain preference

Suppose the Captain tells First Mate:

Remember that decisions needing our team should be posted in the decisions forum, not a private message.

First Mate can preserve that as its private operating preference and recall it when presenting a future decision. A support Second Mate does not need a duplicate copy: it routes the decision upward and First Mate applies the human-facing preference.

If that forum becomes a mandatory organizational integration with deterministic delivery guarantees, move the behavior into the reviewed owner of that contract. Do not rely on fallible memory to implement a safety boundary.

Change the source that owns the lesson

When the support domain learns something, ask what kind of fact it is:

  • “This Captain prefers the decisions forum” → private Mate memory.
  • “This repository requires compatibility tests” → project instructions.
  • “Repeated support deliveries share one provider identity” → database invariant.
  • “Escalate when customer-data access is required” → domain identity or Skill.
  • “This run duplicated work” → frozen evaluation evidence.

Copying the same sentence into every prompt, memory file and Skill creates drift rather than learning. One reviewed source owns the behavior; other surfaces may point to it.

Next, turn evidence into a deliberate improvement loop in Measure and improve.