Track Every AI Agent From the First Decision to a Proven Result

Teams start ten agent ideas and finish two, then cannot say whether the two that shipped actually helped. The gap is not talent -- it is the absence of a record that ties the build decision to the outcome. This tracker is that record.

I have started far more agent ideas than I finished, and the difference was never talent -- it was whether I kept a record that tied the build to a result.

The Three Stages an Agent Has to Pass

Every agent worth building moves through three gates: Decide -- is this worth automating at all, and what is the success metric. Build -- scope, owner, dependencies, and status. Prove -- did it move the metric you named at the start. Most tools cover the middle stage and ignore the two that decide whether the work mattered.

What the Tracker Captures Per Agent

• The problem and the one metric that defines success
• The decision: build, buy, or skip -- with the reasoning logged
• Owner, status, and blocking dependencies
• Baseline before launch and the measured result after
• A verdict: kept, killed, or iterating

Because the success metric is fixed before any code is written, you cannot quietly redefine victory after the fact.

Why a Tracker Beats a Backlog Tool

A generic backlog tells you what is in progress. It does not force a kill decision, and it does not store the before-and-after that proves value. Half-built agents linger for months because nothing makes the team confront them. This tracker makes the kill or keep call explicit, so dead ideas leave the board and finished ones carry evidence.

Built for One Person or a Whole Team

A solo builder runs it to stay honest about which experiments earned their keep. A team runs it to align on what is shipping, what is stuck, and what to cut in the next review. It is a spreadsheet you own -- no seats, no subscription, no vendor lock-in.

FAQ