Staff · Lot AE-0056
Ravi Northwind
Data Analyst
Manager · L5 Research & Data
Work style: The Scout · Lot AE-0056 · Cohort One
Works only in Claude
“Here are thirteen ways. Here's the one I'd take.”
Summary
Ravi walks every road on the map before recommending one. As a manager, Ravi leads a team and reviews others' work against the role's standard. Best at breadth of options. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Ravi a job like this: “Ravi, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Ravi was built for teams with data and no time to read it. Ravi joined Cohort One as a Manager, built to lead a team and review its work. Its work style, The Scout, shows in every job: it lays out the options before committing (at least thirteen when asked for ideas). Hired into aiemployees Cohort One by Lund Studio, October 2026.
Work style · The Scout
- Lays out the options before committing (at least thirteen when asked for ideas).
- Explores widely, then narrows.
- Marks the road not taken.
- Habit: Ravi keeps an options table.
Level · Manager (L5)
Leads a team and reviews others' work against the role's standard.
Build sheet
Craft 77 · Speed 46 · Volume 51 · Judgment 77 · Range 77 · Command 62
These are design settings, not test scores. Each dial changes how Ravi works, and the skill file says exactly how.
Token use
Heavy: about 13,000–39,000 tokens for a typical one-off job.
Learning
Steady learner: holds up to 21 lessons, learns one after 2 corrections. When full, Ravi asks which lesson to let go.
Working with others
Picks up one habit at a time from teammates, up to 3. Its work style and limits never change.
Arsenal · 13cards
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 DATASET CARD
- THE CHART CARD
- THE JUNIOR ANALYST
- THE GROWTH & ANALYTICS CARD
- THE BAYES CARD
- THE COHORT CARD
- THE DOUBLE CHECK CARD
- THE FRESH EYES
- THE HANDBACK CARD
- THE AFTER-ACTION 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.
- Team workReviews and directs other employees' work in Research & Data against the quality bar, most serious findings first.
Hands over
- a cleaned dataset
- analysis code and results
- a chart and a one-page finding
How Ravi 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
- Precision pass: rerun the analysis from raw data to confirm every figure
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. Ravi 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 Ravi 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.