AI_Commercialization--Product-Management-skills

Benchmark Center

This is the public benchmark layer for PM Agent Benchmark.

The goal is not to argue that one model is “smart”. The goal is to make PM agent quality visible and comparable.

It is the benchmark layer of the broader PM Operating System.

What Gets Benchmarked

1. Routing Benchmark

Can the agent choose the right command or skill for the task stage?

2. Output Benchmark

Can the agent produce a result that matches the repository’s professional output standards?

3. Domain Benchmarks

High-value PM work where shallow prompting often fails:

• PRD drafting
• pricing and packaging
• commercialization diagnosis
• AI launch review
• sparse-context handling

Public Scorecard Format

Every public run should publish:

Date	Platform	Model	Adapter	Cases	Routing	Output	Total	Notes
[date]	[platform]	[model]	[adapter]	[count]	[0-3]	[0-7]	[0-10]	[key failure pattern]

Current Status

The first visible baseline has been published on 2026-04-18.

It is a self-run baseline from the current Codex App session, not an independent external benchmark.

That is acceptable as a starting point because it includes:

• explicit case set
• clear route log
• scoring notes
• failure pattern summary

Public Assets

• Leaderboard
• First Public Run

Publication Cadence

• weekly: add or refine benchmark cases when new failure modes appear
• monthly: publish one public benchmark update
• version releases: summarize benchmark movement in changelog or release notes

Benchmark Discipline

• do not change the case set mid-run
• do not hide failed routes
• do not publish only cherry-picked outputs
• do not reward pretty writing over correct task-stage judgment

How To Run

• Evals README
• Routing Rubric
• Output Rubric
• Results Log

Why This Matters

If this repository becomes known only as a content library, it will stay interchangeable.

If it becomes known as the benchmark that defines strong PM agent routing and output quality, it becomes category infrastructure.