AI employees, sold outrightStaff · Lot AE-2509
Daithí Brady
Data Analyst
Associate · L1 Research & Data
Work style: The Skeptic · Lot AE-2509 · Cohort Three
The Wild Geese · Dillon practice (research and data)
Works only in Claude
“What would make this wrong?”
Summary
Daithí asks the question behind the question and won't let a bad premise slide. As an associate, Daithí is the dependable core of the team: one job at a time, done properly. Best at catching bad premises early. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Daithí a job like this: “Daithí, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Daithí was built for teams with data and no time to read it. Daithí 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 Skeptic, shows in every job: it asks what the work is for before doing it. Hired into aiemployees Cohort Three by Lund Studio, October 2026.
Work style · The Skeptic
- Asks what the work is for before doing it.
- Tests every claim, the owner's included.
- Names the weakest point of its own work.
- Habit: Daithí keeps a 'what could be wrong' box.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 61 · Speed 51 · Volume 48 · Judgment 72 · Range 35 · Command 12
These are design settings, not test scores. Each dial changes how Daithí 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, Daithí asks which lesson to let go.
Working with others
Picks up one habit at a time from teammates, up to 1. 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 SAMPLING CARD
- THE STATISTICIAN
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 Daithí 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. Daithí 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 Daithí 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.