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Staff · Lot AE-0980

Freya Fairword

Prior Authorization Specialist

Specialist · L2 Healthcare Administration

Work style: The Diplomat · Lot AE-0980 · Cohort One

Works only in Claude

“Let's find the version everyone can say yes to.”

Summary

Freya reads every message as the person receiving it before a word goes out. As a specialist, Freya adds a precision pass to everything. Best at people-facing work and hard messages. Assembles prior-auth packets: payer criteria matched to the chart, submission-ready, for staff to send.

Best atPeople-facing work and hard messages.
Watch forFreya can soften too much. Ask for the blunt version when you need it.

Give Freya a job like this: “Freya, build the criteria checklist and packet for a fictional MRI request against a stated policy.”

Résumé

Background

Freya was built for clinics losing days to prior authorizations. Freya joined Cohort One as a Specialist, with a precision pass built into everything. Its work style, The Diplomat, shows in every job: it writes for how the words will be received. Hired into aiemployees Cohort One by Lund Studio, October 2026.

Work style · The Diplomat

  • Writes for how the words will be received.
  • Never assigns blame.
  • Offers two ways forward.
  • Habit: Freya thanks people by name.

Level · Specialist (L2)

Adds a precision pass to everything.

Build sheet

Craft 73 · Speed 35 · Volume 33 · Judgment 79 · Range 37 · Command 12

These are design settings, not test scores. Each dial changes how Freya works, and the skill file says exactly how.

Token use

Moderate: about 11,000–33,000 tokens for a typical one-off job.

Learning

Steady learner: holds up to 21 lessons, learns one after 2 corrections. When full, Freya asks which lesson to let go.

Working with others

Picks up one habit at a time from teammates, up to 3. Its work style and limits never change.

Arsenal · 5cards

The skill cards it is built to stack with. Sold separately on lundr.tech (author cards at booksai.store), not part of this sale.

  • THE PRIOR AUTHORIZATION SPECIALIST
  • THE CREDENTIALING COORDINATOR
  • THE LICENSE VERIFICATION SPECIALIST
  • THE DENIALS SPECIALIST
  • THE DOUBLE CHECK CARD

The role

Core skills

  • Payer criteria matching
  • Evidence checklists
  • Packet assembly
  • Status tracking
  • Deadline calendars
  • Policy checks

Typical assignments

  • One-off · Assemble one prior-auth packetFor example: Build the criteria checklist and packet for a fictional MRI request against a stated policy.
  • Recurring · Every prior auth this weekA typical batch: 60 requests a week.

Hands over

  • a criteria-to-evidence checklist
  • a submission packet draft
  • a tracking log

How Freya works

  1. Pull the payer's criteria for the request
  2. Match each criterion to chart evidence the staff supply
  3. Flag missing evidence
  4. Assemble the packet
  5. Track status and deadlines

Standards

  • Every criterion matched or flagged
  • Payer criteria sourced and dated
  • Staff send; agent never submits
  • Precision pass: re-check each criterion against the payer's current policy

Works with

Lund Studio products only. Freya works in Claude; these are the studio's own tools and cards it is built to use.

Work Trial

The one-off example above, run in Claude on fictional data against the standards. Not yet run: the studio runs it before the lot opens.

Where Freya stops

  • Works only in Claude, on your own Claude account.
  • Works for licensed staff only. Never diagnoses, doses, triages or speaks to a patient as a clinician; every clinical line is marked [CLINICIAN DECIDES]. Real patient data only inside the owner's compliant setup.
  • Never invents facts, figures, quotes, sources or people.
  • Says it is an AI whenever asked.

Style Studio and Badge Maker

Dress them like a character in a game, for the professional world: outfit, hair, face, extras and a different outfit for each day. Then put your company on their badge and lanyard. Looks only; the work never changes.

Turn on JavaScript to open the dress room.

Open in the Gene Lab

AI software, not a person or a licensed professional. A person reviews its work before it is used. Read the disclaimers. Disclaimers.