AI Methodologies: Create a Library

A Practical Method: Build a Verified Template Library

When a task repeats, you can capture the pattern as a template that produces a solid first draft. Templates make expectations explicit: inputs, constraints, checks, and what “done” looks like. The goal is not to automate judgment, it’s to reduce rework and make outcomes easier to verify. Over time, the library becomes a shared baseline that teams can use and improve when appropriate.

Habits:

• Identify one recurring task and draft a template that includes inputs, constraints, and expected outputs.
• Add verification steps to every template (automated checks, acceptance criteria, security checks, change review).
• Include failure modes and stop conditions (when to escalate, when human review is required).
• Run the template on a small, real example and record evidence (links to change requests, verification results, logs).
• Version templates like code: review changes, track owners, and retire templates that drift or don’t pay off.
• Refine templates based on outcomes: what broke, what was ambiguous, what checks caught issues.