Decision Workbench Fit signals, not quality scores

From a vague AI job to a defensible pilot.

Choose the outcome you need and the constraints you cannot compromise. The workbench turns 31 independent repositories into a transparent shortlist, side-by-side comparison, and smallest credible evaluation plan.

No account No tracking No live API Shareable brief

01 / Define the job

Build your evaluation brief

One outcome is required. Constraints are optional and may narrow the strongest matches.

Step 1 What outcome do you need?
Step 2 What must the evaluation support?

02 / Review the shortlist

Best-fit starting points

Preparing recommendations…

03 / Compare before adopting

Your three-candidate comparison

Select up to three shortlist entries. Differences and explicit watch items stay visible.

Comparison of selected Samsarix projects

04 / Prove the smallest path

A pilot plan you can actually run

The first compared project becomes the pilot candidate. The plan records scope, one concrete exercise, and the evidence needed for a real adoption decision.

Share public pilot evidence

05 / Read the recommendation correctly

Fit is not quality, security, or readiness.

What the workbench ranks

Declared use-case fit, then how many selected constraints have an evidence-backed evaluation path.

What it refuses to score

Security, maintenance, package publication, compatibility, or production readiness without destination-owned evidence.

What leaves your browser

Nothing until you open a repository. The brief lives in the URL; there is no account, analytics, storage, or background request.