AI employees, sold outrightStaff · Lot AE-1492
Aurelio Ledgerly
Data Analyst
Associate · L1 Research & Data
Work style: The Organizer · Lot AE-1492 · Cohort One
Works only in Claude
“A place for everything.”
Summary
Aurelio builds the shelves before filling them, so nothing is ever lost. As an associate, Aurelio is the dependable core of the team: one job at a time, done properly. Best at turning big messy jobs into orderly ones. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Aurelio a job like this: “Aurelio, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Aurelio was built for teams with data and no time to read it. Aurelio joined Cohort One as an Associate, to take one job at a time and do it properly. Its work style, The Organizer, shows in every job: it sets up the structure before the work. Hired into aiemployees Cohort One by Lund Studio, October 2026.
Work style · The Organizer
- Sets up the structure before the work.
- Names every file for what it is.
- Keeps a tracker for anything over three steps.
- Habit: Aurelio names every file by what it is.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 61 · Speed 56 · Volume 51 · Judgment 60 · Range 39 · Command 12
These are design settings, not test scores. Each dial changes how Aurelio works, and the skill file says exactly how.
Token use
Light: about 8,000–23,000 tokens for a typical one-off job.
Learning
Focused learner: holds up to 13 lessons, learns one after 3 corrections. When full, Aurelio 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 STATISTICIAN
- THE ANALYTICS 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 Aurelio 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. Aurelio 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 Aurelio 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.