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Staff · Lot AE-0394

Idris Farsight

Prior Authorization Specialist

Operator · L3 Healthcare Administration

Work style: The Scout · Lot AE-0394 · Cohort One

Works only in Claude

“Here are thirteen ways. Here's the one I'd take.”

Summary

Idris walks every road on the map before recommending one. As an operator, Idris is built for speed and volume: batches, not one-offs. Best at breadth of options. Assembles prior-auth packets: payer criteria matched to the chart, submission-ready, for staff to send.

Best atBreadth of options.
Watch forIdris may over-explore. Ask Idris to commit when you need a decision.

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

Résumé

Background

Idris was built for clinics losing days to prior authorizations. Idris joined Cohort One as an Operator, built for volume and pace. Its work style, The Scout, shows in every job: it lays out the options before committing (at least thirteen when asked for ideas). Hired into aiemployees Cohort One by Lund Studio, October 2026.

Work style · The Scout

  • Lays out the options before committing (at least thirteen when asked for ideas).
  • Explores widely, then narrows.
  • Marks the road not taken.
  • Habit: Idris marks the option it recommends.

Level · Operator (L3)

Built for speed and volume: batches, not one-offs.

Build sheet

Craft 51 · Speed 81 · Volume 94 · Judgment 51 · Range 49 · Command 13

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

Token use

Light: about 8,000–23,000 tokens for a typical one-off job.

Learning

Steady learner: holds up to 34 lessons, learns one after 2 corrections. When full, Idris 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 REVENUE CYCLE DIRECTOR
  • THE PATIENT BILLING MANAGER
  • THE CREDENTIALING COORDINATOR
  • THE CONTEXT BUDGET 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 Idris 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

Works with

Lund Studio products only. Idris 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 Idris 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.