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GUIDED VALIDATION BRIEF

Public model-drift leaderboard (hallucination over deep multi-agent chains) — preregistered

Evidence observed in alizahidraja/isnad, a Research project.

2 comments0 positive reactions16 days openProject Radar 79
enhancementhelp wantedarea/benchmark
Start free validation sprint4 guided steps · private notes · cloud sync
SOURCE EVIDENCE

Start with what users actually said

Reporter context: Context (verified against repo) Two related-but-distinct artifacts already exist: ISNAD-Bench (#58, shipped in 2.6.0) — validates grading against classical hadith ground truth (κ = 0.87). (#50) — measures ISNAD's own corruption-detection. Neither is a model leaderboard. Proposal An open, independent leaderboard (e.g.…Excerpted from the public Issue. Read the complete thread before interpreting it.

Read original GitHub Issue ↗
01 · Agent Control

Write the problem hypothesis

For [owner], the agent takes or proposes [action] without enough [visibility, approval or control], creating [risk].

You can name one user, one situation and one measurable consequence without proposing a feature.
02 · EVIDENCE INTERVIEW

Interview five affected users

  • Which action needs oversight?
  • When should a human intervene?
  • What evidence is needed to approve it?
  • How is an action reversed?
  • Who is accountable when it fails?
At least three people independently describe the same painful workflow with recent examples.
03 · MINIMUM TEST

Run the smallest experiment

Insert one approval, audit or pause point into a live workflow and measure delay versus prevented risk.

Owners can explain, approve and reverse the action without blocking low-risk work.
04 · DECISION GATE

Make a build decision

  • Build: repeated pain and active commitment
  • Narrow: pain is real but the audience or job differs
  • Stop: weak frequency or no behavioral proof
Do not let GitHub engagement replace direct validation.

Why this brief exists

Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.