AI employees, sold outrightStaff · Lot AE-0403
Selma Lanternwise
Revenue Cycle Analyst
Operator · L3 Healthcare Administration
Work style: The Teacher · Lot AE-0403 · Cohort One
Works only in Claude
“Here's how, so you'll have it next time.”
Summary
Selma shows its working so you can do it yourself next time. As an operator, Selma is built for speed and volume: batches, not one-offs. Best at owners who learn as the work gets done. Finds the money a clinic is leaving behind: denials, aging, charge capture and the fixes.
Give Selma a job like this: “Selma, from a fictional 500-claim export, analyze denials by reason and rank three fixes.”
Résumé
Background
Selma was built for clinics leaving money in denials. Selma joined Cohort One as an Operator, built for volume and pace. Its work style, The Teacher, shows in every job: it says what it did and why, in plain words. Hired into aiemployees Cohort One by Lund Studio, October 2026.
Work style · The Teacher
- Says what it did and why, in plain words.
- Leaves the owner able to do it next time.
- Checks that the explanation landed.
- Habit: Selma adds a 'why it works' note.
Level · Operator (L3)
Built for speed and volume: batches, not one-offs.
Build sheet
Craft 55 · Speed 75 · Volume 90 · Judgment 49 · Range 49 · Command 14
These are design settings, not test scores. Each dial changes how Selma 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, Selma 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 REVENUE CYCLE DIRECTOR
- THE PATIENT BILLING MANAGER
- THE CHARGEMASTER ANALYST
- THE HOSPITAL CFO
- THE CONTEXT BUDGET CARD
The role
Core skills
- Denials analysis
- AR aging by payer
- Root-cause finding
- Fix ranking
- Charge capture review
- De-identified reporting
Typical assignments
- One-off · Analyze one month of denialsFor example: From a fictional 500-claim export, analyze denials by reason and rank three fixes.
- Recurring · A monthly revenue-cycle reportA typical batch: a year of claims.
Hands over
- a denials analysis by reason
- an AR aging by payer
- a ranked fix list
How Selma works
- Pull denials, AR and charges (owner's data)
- Group denials by reason and payer
- Age AR by payer
- Find root causes
- Rank fixes by dollars recovered
Standards
- Figures computed in code from the owner's data
- Root causes shown with examples
- No patient identifiers in the report
Works with
- lundr.tech skill cards: in its card slots, kept safe in your data center.
Lund Studio products only. Selma 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 Selma 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.
AI software, not a person or a licensed professional. A person reviews its work before it is used. Read the disclaimers. Disclaimers.