INDUSTRYNEXT

EXPERT NETWORK / HUMAN JUDGMENT FOR AI SYSTEMS

The model
needs a
workbench.

We assemble small expert pods to create the hard cases, scoring rules, evaluations, and grounded judgment that AI systems cannot manufacture for themselves.

EXPERTS OVER GENERALISTSPAID CALIBRATIONDISAGREEMENT IS DATAQA BEFORE VOLUME

01 / WHAT THE POD DELIVERS

Not résumés.
Finished work.

Industry Next owns the production layer: scope, calibration, review, adjudication, and a clean client handoff.

01

Realistic cases

Domain scenarios, traces, edge cases, and failure conditions grounded in how the work actually happens.

02

Scoring rules

Rubrics with observable criteria, examples, acceptable variation, and explicit reasons to escalate.

03

Model evaluation

Expert judgments, disagreement review, error taxonomy, and calibrated comparison across outputs.

04

Failure report

Prioritized findings, representative evidence, and the next tests most likely to improve the system.

02 / THE EXPERT TEST PACK

One domain.
One model.
Two weeks.

The pack is deliberately small enough to inspect and substantial enough to change a product decision.

$12,500STARTING FEE
TWO WEEKS
ONE EXPERT POD
  1. 01
    Scope room

    Define the user, domain, model behavior, success criteria, data boundary, and decision owner.

  2. 02
    Paid calibration

    Experts complete a small paid sample; Industry Next aligns the rubric before production begins.

  3. 03
    30–50 expert cases

    Final volume follows complexity. Every case remains traceable to the agreed standard.

  4. 04
    Dual review + adjudication

    Important disagreements are reviewed, resolved, and preserved as findings—not averaged away.

  5. 05
    Failure map + handoff

    Prioritized patterns, representative examples, limitations, and the recommended next evaluation.

03 / START NARROW

Three fields.
Ten people.

The founding network begins where Industry Next already has working context, then expands when a real brief requires it.

FIELD A

Media + creative systems

Editorial judgment, audience experience, visual culture, sound, participation, rights, and provenance.

FIELD B

Commerce + operations

Customer journeys, retail systems, lifecycle work, support operations, fulfillment, and operating decisions.

FIELD C

AI product experience

Tool use, agent behavior, evaluation design, launch clarity, human review, and real-world failure handling.

04 / REQUEST A POD

Where does
the model
lose judgment?

Share only enough to establish fit. Do not paste confidential datasets, credentials, personal information, unreleased model outputs, or regulated records into this form.

CLIENT BRIEF / NOT YET SENTFROM $12.5K

Your answers stay in this browser until you choose an action.

05 / FOUNDING NETWORK

Know the work
well enough
to disagree.

We are looking for practitioners with inspectable work and sharp judgment—not people who merely know AI vocabulary. Calibration tasks are paid. Project terms and compensation are written before delivery begins.

  • No membership fee
  • No guaranteed placement
  • No unpaid speculative production
  • No account sharing or assessment assistance
EXPERT NOTE / NOT YET SENTFOUNDING 10

Your answers stay in this browser until you choose an action.

06 / OUTSIDE PLATFORMS

A channel.
Not our foundation.

Network members may independently pursue opportunities through Micro1, Mercor, Turing, Scale, Invisible, and other services. Industry Next does not claim partnership with those companies, cannot guarantee placement, and will not assist with confidential assessments or share accounts. Direct Industry Next briefs remain separately contracted work.

V2 / AGENT BENCH / FOUNDING PILOTS

Rent the
capability.
Not the setup.

For people who want the result but do not want to configure, prompt, monitor, and repair a pile of AI tools. Industry Next would configure and supervise a small agent team behind one simple desk.

ROLE 01

Research Runner

Finds, checks, organizes, and prepares sourced material for a human decision.

ROLE 02

Communications Helper

Drafts follow-ups, briefs, updates, and publishing packets; the human approves what represents them.

ROLE 03

Operations Assistant

Maintains recurring checklists, monitors bounded systems, and escalates exceptions instead of improvising authority.

THE MANAGED LAYER

One desk in.
Checked work out.

  • Industry Next configures and maintains the agents.
  • A named human owns review and escalation.
  • Tool and model costs remain visible.
  • Sensitive access is least-privilege and revocable.
  • Messages, purchases, deletions, and consequential actions wait for approval.
  • The customer can export their work and leave.
V2 PILOT NOTE / NOT YET SENTFORMING NOW

Your answers stay in this browser until you choose an action.