AI_Commercialization--Product-Management-skills

First Public Run

This page defines the first public benchmark run for the repository.

Do not expand this run too early. The goal is not volume. The goal is a clean first proof point.

Purpose

The first public run should prove 3 things:

1. this system routes better than generic prompt usage
2. this system produces stronger PM output under task pressure
3. this system stays honest when context is sparse

Fixed Case Set

Use these 4 cases only:

1. Eval Case 01: Shape AI Feature
2. Eval Case 05: Sparse Context Robustness
3. Eval Case 07: PRD Decomposition And Review
4. Eval Case 08: Pricing Packaging Boundary

Why these 4:

• 01 tests AI feature workflow routing
• 05 tests sparse-context discipline
• 07 tests PRD decomposition instead of shallow document dumping
• 08 tests commercialization reasoning where generic AI often fails

Required Publication Fields

Every first-run publication must include:

• date
• platform
• model
• adapter used
• fixed case set
• expected route vs actual route for each case
• routing score per case
• output score per case
• total score per case
• top 3 failure patterns
• what changed after the run

Publication Format

Public Scorecard

Use one summary table:

Date	Platform	Model	Adapter	Cases	Routing	Output	Total	Main Failure Pattern
[date]	[platform]	[model]	[adapter]	4	[0-12]	[0-28]	[0-40]	[short phrase]

Case Notes

For each case, publish:

• expected route
• actual route
• one strong signal
• one failure signal
• one fix recommendation

Scoring Rule

• keep Routing at 0-3 per case
• keep Output at 0-7 per case
• total run score is out of 40

Do not compress route and output into one impression score.

Anti-Cheating Rule

Do not:

• swap cases mid-run
• hide failed routes
• publish only the strongest cases
• claim benchmark movement without showing the previous run

Output Files

When the first real run is published, create:

• one result file under evals/results/
• one updated row in Leaderboard
• one external post using the failure pattern, not just the score

Not Ready Yet

If you have not run the cases yet, say so.

An honest empty leaderboard is stronger than a fake benchmark.