AI_Commercialization--Product-Management-skills

Leaderboard

This page is the public scoreboard for PM Agent Benchmark runs.

It should stay small and credible.

Current Status

The first visible baseline has now been published.

It is a self-run baseline, not an independent external benchmark.

That is acceptable for a first public seed, as long as the limitation stays explicit.

Credibility Ladder

This page becomes materially more persuasive in this order:

1. one seeded baseline
2. one second run on the same pack
3. one run from a different platform, model, or reviewer
4. one visible failure case, not just a better score

Right now this page is still at step 1. That is enough to start the category. It is not enough to claim benchmark leadership yet.

Scoreboard

Date	Platform	Model	Adapter	Cases	Routing	Output	Total	Notes
2026-04-18	Codex App	GPT-5 Codex runtime	AGENTS.md + agent/	4	12 / 12	25 / 28	37 / 40	self-run baseline; sparse-context can still structure too early

First Planned Run

Use the pack in First Public Run.

The first run should cover:

• AI feature shaping
• sparse-context robustness
• PRD decomposition and review
• pricing and packaging reasoning

Reading Rule

Do not compare totals alone.

Always compare:

• route quality
• output quality
• failure pattern type
• whether the adapter was changed between runs

Next Required Proof

The next useful row is not “another self-congratulatory score.”

It is one of these:

• same pack, second platform
• same pack, second reviewer
• same pack, visible failure pattern

Result File

• 2026-04-18 Codex App Self-Run