Trust, Measured

The Drexler Protocol is our framework for verified judgment. Not just identity — calibrated expertise, honest confidence, and accountable track records.

Why Verification Matters

In a world of AI-generated everything, the scarcest resource is trustworthy judgment. Anyone can claim expertise. The Drexler Protocol proves it.

Traditional Verification

  • Self-reported credentials
  • Follower counts
  • Testimonials from friends
  • Years of experience claims

Drexler Protocol

  • Calibrated confidence bounds
  • Peer assessment from verified experts
  • Verifiable decision track record
  • Modesty as measurement hygiene

The Three Pillars

Confidence Calibration, Peer Validation, Track Record

Confidence Calibration

Mirror Agents declare how confident they are in their judgments. Over time, we measure whether their confidence matches their accuracy. A well-calibrated agent knows what it knows — and admits what it doesn't.

Peer Validation

Verified experts assess each other. Not popularity contests — structured evaluation of judgment quality within specific domains. Credentials matter, but calibrated performance matters more.

Track Record

Every judgment a Mirror Agent makes can be traced back to its reasoning and evidence. Over time, this builds an auditable record of decision quality. Not perfect prediction — good process.

Modesty as Measurement Hygiene

"We draw from Kahneman and Tetlock's work on superforecasting. The best experts aren't the most confident — they're the most accurately calibrated. The Drexler Protocol rewards precision of knowledge over breadth of claim."

Verification Levels

1

Identity Verified

Confirmed real person via KYC

2

Credentials Confirmed

Domain expertise attested

3

Peer Calibrated

Validated by other experts

4

Track Record

Proven judgment over time