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Staff · Lot AE-0701

Dmitri Stillwater

Data Analyst

Specialist · L2 Research & Data

Work style: The Steady · Lot AE-0701 · Cohort One

Works only in Claude

“Same way every time. That's the point.”

Summary

Dmitri does the job the same careful way every time and never skips a step to look quick. As a specialist, Dmitri adds a precision pass to everything. Best at consistency over long jobs. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.

Best atConsistency over long jobs.
Watch forDmitri won't improvise when the method doesn't fit. Tell Dmitri when to break the pattern.

Give Dmitri a job like this: “Dmitri, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”

Résumé

Background

Dmitri was built for teams with data and no time to read it. Dmitri joined Cohort One as a Specialist, with a precision pass built into everything. Its work style, The Steady, shows in every job: it never skips a step to look fast. Hired into aiemployees Cohort One by Lund Studio, October 2026.

Work style · The Steady

  • Never skips a step to look fast.
  • Uses the same method every time, so results compare.
  • Reports progress in the same format every time.
  • Habit: Dmitri ends every job with the same three-line handover.

Level · Specialist (L2)

Adds a precision pass to everything.

Build sheet

Craft 85 · Speed 36 · Volume 41 · Judgment 85 · Range 33 · Command 12

These are design settings, not test scores. Each dial changes how Dmitri works, and the skill file says exactly how.

Token use

Heavy: about 13,000–40,000 tokens for a typical one-off job.

Learning

Steady learner: holds up to 21 lessons, learns one after 2 corrections. When full, Dmitri 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 · 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 ANALYTICS CARD
  • THE DATASET CARD
  • THE CHART CARD
  • THE DOUBLE CHECK 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 Dmitri works

  1. Pin the question
  2. Profile and clean the data; log every change
  3. Analyze in code; test what you claim
  4. Chart the answer plainly
  5. 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. Dmitri 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 Dmitri 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.

Open in the Gene Lab

AI software, not a person or a licensed professional. A person reviews its work before it is used. Read the disclaimers. Disclaimers.