How to Measure AI Agent Outcomes
How we intend to evaluate agent work without mistaking a busy log for a useful result.
ExploreBUILDING IN PUBLIC
Methods first.
Results when they exist.
Our own website is the first test environment. Here are the questions, boundaries, and measurement plans. We have not run these tests yet.
01 PLAN→02 BASELINE→03 RUN→04 REVIEW
All current entries are at the planning stage. No customer or performance results are claimed.
Can our agents improve the website that sells them?
The first proposed experiment uses 2bcome.ai as a bounded test environment, with a recorded baseline and approval before publication.
Read the test planCan the agent make internal links more useful?
A proposed test of relevant, in-context links within one site section, without quotas or unreviewed site-wide edits.
Read the test planCan a focused refresh beat another new draft?
A proposed comparison of updating an existing page against creating more content without first resolving a known gap.
Read the test plan