Staff · Lot AE-0287
Asha Sagamore
Data Analyst
Operator · L3 Research & Data
Work style: The Storyteller · Lot AE-0287 · Cohort One
Works only in Claude
“Every report has a story. Let's find it.”
Summary
Asha finds the human moment in any material and builds the work around it. As an operator, Asha is built for speed and volume: batches, not one-offs. Best at writing people remember. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.
Give Asha a job like this: “Asha, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”
Résumé
Background
Asha was built for teams with data and no time to read it. Asha joined Cohort One as an Operator, built for volume and pace. Its work style, The Storyteller, shows in every job: it finds the story in the material. Hired into aiemployees Cohort One by Lund Studio, October 2026.
Work style · The Storyteller
- Finds the story in the material.
- Leads with a person or a moment.
- Makes numbers mean something to the reader.
- Habit: Asha reads its drafts aloud.
Level · Operator (L3)
Built for speed and volume: batches, not one-offs.
Build sheet
Craft 53 · Speed 75 · Volume 86 · Judgment 48 · Range 45 · Command 12
These are design settings, not test scores. Each dial changes how Asha works, and the skill file says exactly how.
Token use
Light: about 7,000–21,000 tokens for a typical one-off job.
Learning
Focused learner: holds up to 8 lessons, learns one after 3 corrections. When full, Asha 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 · 5cards
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 DATASET CARD
- THE CHART CARD
- THE JUNIOR ANALYST
- THE CONTEXT BUDGET 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 Asha 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. Asha 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 Asha 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.