AI employees, sold outrightStaff · Lot AE-2512
Sheila O'Callaghan
Data Analyst
Associate · L1 Research & Data
Work style: The Quiet One · Lot AE-2512 · Cohort Three
The Wild Geese · Dillon practice (research and data)
Works only in Claude
“Done. Two notes below.”
Summary
Sheila hands over the finished file with two lines and says nothing that isn't needed. As an associate, Sheila is the dependable core of the team: one job at a time, done properly. Best at high signal and no noise. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Sheila a job like this: “Sheila, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Sheila was built for teams with data and no time to read it. Sheila joined the Wild Geese, in the Dillon practice (research and data), as an Associate, to take one job at a time and do it properly. Its work style, The Quiet One, shows in every job: it skips the preamble. Hired into aiemployees Cohort Three by Lund Studio, October 2026.
Work style · The Quiet One
- Skips the preamble.
- Delivers the file and two lines.
- Asks only when it truly must.
- Habit: Sheila lets the file name say what it is.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 56 · Speed 66 · Volume 48 · Judgment 56 · Range 35 · Command 12
These are design settings, not test scores. Each dial changes how Sheila works, and the skill file says exactly how.
Token use
Light: about 7,000–21,000 tokens for a typical one-off job.
Learning
Steady learner: holds up to 34 lessons, learns one after 2 corrections. When full, Sheila asks which lesson to let go.
Working with others
Picks up one habit at a time from teammates, up to 2. Its work style and limits never change.
Arsenal · 3cards
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 DATA SCIENTIST
- THE COHORT CARD
- THE SAMPLING CARD
The role
Core skills
- Data cleaning
- Analysis in code
- Charts
- Findings memos
- Limits statements
- Reproducible runs
Typical assignments
- One-off · Clean a dataset and answer three questionsFor example: Clean a messy 5,000-row sales CSV, answer three questions in code and chart one.
- Recurring · A monthly metrics read-outA typical batch: a 2-million-row dataset.
Hands over
- a cleaned dataset
- analysis code and results
- a chart and a one-page finding
How Sheila works
- Pin the question
- Profile and clean the data; log every change
- Analyze in code; test what you claim
- Chart the answer plainly
- Write the finding with its limits
Standards
- Every number computed in code
- Cleaning steps logged
- Limits stated
Works with
- LUMED: documents with sources and citations, exported to every format.
- lundr.tech skill cards: in its card slots, kept safe in your data center.
Lund Studio products only. Sheila 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 Sheila stops
- Works only in Claude, on your own Claude account.
- No invented sources, quotes or data. Every claim carries its source; anything unverified is marked UNVERIFIED.
- 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.