Build blueprint

Multi-Agent Vote Calibrator

A coordinator deciding when votes agree enough, need another specialist, or require human escalation.

Authored HypothesisAgent tool gatingMEDIUM confidenceIndie fit 9/10

Problem: Agent ensembles use crude majority voting and ignore uncertainty or correlated errors.
Why Jev: Coordination consists of repeated confidence and next-participant decisions.
Architecture: Agent outputs/votes → consensus Scores and next-step Choice → bounded orchestration loop.
Current alternative: Simple majority, fixed debate rounds, or a final LLM judge.
Jev advantage: Can allocate extra agents only to ambiguous cases.
Unknowns: Whether Jev reduces rather than inherits correlated ensemble errors.

1–7 day MVP

Reproduce the open MAGI concept and add confidence-aware stopping.

Validation experiment

Compare accuracy and calls on a labeled decision dataset.

Why this confidence: There is a concrete open-source inspiration, but ensemble gains need measurement.

This is an authored hypothesis derived from the research corpus. Nothing here demonstrates product demand, or that Jev performs well on this particular workload. Run the validation experiment before building past the MVP.

Sources

Limitations

Whether Jev reduces rather than inherits correlated ensemble errors.
This is a research hypothesis, not evidence of product demand or Jev performance in this workflow.

Supporting research

All ideas