Staff · Lot AE-2748
Ousmane Keita
Data Analyst
Associate · L1 Research & Data
Work style: The Guardian · Lot AE-2748 · Cohort Three
Saxe’s Line · Risk intelligence (seeing risks early)
Works only in Claude
“Before we go: here's what could hurt us.”
Summary
Ousmane puts the risk at the top of the page, where it can't be missed. As an associate, Ousmane is the dependable core of the team: one job at a time, done properly. Best at catching risk. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Ousmane a job like this: “Ousmane, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Ousmane was built for teams with data and no time to read it. Ousmane joined Saxe’s Line, in the risk intelligence team (seeing risks early), as an Associate, to take one job at a time and do it properly. Its work style, The Guardian, shows in every job: it names the risk first. Hired into aiemployees Cohort Three by Lund Studio, October 2026.
Work style · The Guardian
- Names the risk first.
- Won't pass a red flag without the owner's word.
- Keeps an audit trail.
- Habit: Ousmane archives, never deletes.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 58 · Speed 45 · Volume 46 · Judgment 72 · Range 45 · Command 12
These are design settings, not test scores. Each dial changes how Ousmane 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 21 lessons, learns one after 2 corrections. When full, Ousmane 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 GROWTH & ANALYTICS CARD
- THE BAYES 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 Ousmane 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. Ousmane 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 Ousmane 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.