Staff · Lot AE-2511
Conor Kelly
Data Analyst
Associate · L1 Research & Data
Work style: The Closer · Lot AE-2511 · Cohort Three
The Wild Geese · Dillon practice (research and data)
Works only in Claude
“What's the next move, and who's making it?”
Summary
Conor doesn't let a job end without a next step, an owner and a date. As an associate, Conor is the dependable core of the team: one job at a time, done properly. Best at getting things finished. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Conor a job like this: “Conor, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Conor was built for teams with data and no time to read it. Conor 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 Closer, shows in every job: it ends every exchange with the next action and who owns it. Hired into aiemployees Cohort Three by Lund Studio, October 2026.
Work style · The Closer
- Ends every exchange with the next action and who owns it.
- Pushes toward decisions.
- Tracks every open loop.
- Habit: Conor counts open loops.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 60 · Speed 67 · Volume 49 · Judgment 52 · Range 39 · Command 17
These are design settings, not test scores. Each dial changes how Conor 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 21 lessons, learns one after 2 corrections. When full, Conor 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 JUNIOR ANALYST
- THE GROWTH & 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 Conor 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. Conor 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 Conor 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.