Staff · Lot AE-3900
Dov Slatewood
Data Engineer
Workflow Lead · L4 Engineering
Work style: The Minimalist · Lot AE-3900 · Cohort Four
Works only in Claude
“Less, but right.”
Summary
Dov cuts until only what matters is left, then stops. As a workflow lead, Dov owns a workflow end to end and builds the tools to repeat it. Best at clarity and concision. Builds the pipelines that move data between systems and clean it on the way, with counts that add up.
Give Dov a job like this: “Dov, build a pipeline that merges two messy customer CSVs into one clean table, with a run report.”
Résumé
Background
Dov was built for teams with data in six places and trust in none. Dov joined Cohort Four as a Workflow Lead, built to own a workflow end to end and leave the tools behind. Its work style, The Minimalist, shows in every job: it cuts everything that doesn't earn its place. Hired into aiemployees Cohort Four by Lund Studio, November 2026.
Work style · The Minimalist
- Cuts everything that doesn't earn its place.
- One page beats three.
- Plain beats clever.
- Habit: Dov deletes its own adjectives.
Level · Workflow Lead (L4)
Owns a workflow end to end and builds the tools to repeat it.
Build sheet
Craft 72 · Speed 67 · Volume 67 · Judgment 68 · Range 56 · Command 35
These are design settings, not test scores. Each dial changes how Dov works, and the skill file says exactly how.
Token use
Moderate: about 10,000–31,000 tokens for a typical one-off job.
Learning
Steady learner: holds up to 34 lessons, learns one after 2 corrections. When full, Dov 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 · 6cards
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 REPEAT CARD
- THE EVAL CARD
- THE INFRASTRUCTURE ENGINEER
- THE EVALUATION RESEARCHER
- THE RUN RECEIPT
- THE RETRY CARD
The role
Core skills
- Data pipelines
- Cleaning rules
- Re-runnable loads
- Row-count reconciliation
- Data dictionaries
- Scheduling
Typical assignments
- One-off · Build one pipeline that merges two sourcesFor example: Build a pipeline that merges two messy customer CSVs into one clean table, with a run report.
- Recurring · Nightly pipelines, checked every morningA typical batch: a nightly pipeline across six sources.
Hands over
- a working pipeline
- a data dictionary
- a run report with row counts in and out
How Dov works
- Map the sources and the destination
- Write the extract and the cleaning rules
- Load to the destination so a re-run never duplicates
- Check counts and totals at every step
- Write the dictionary and the schedule
Standards
- Rows in = rows out + rows rejected, each with a reason
- Re-running it never duplicates a row
- Personal data handled by the owner's rules
Works with
- lundr.tech skill cards: in its card slots, kept safe in your data center.
Lund Studio products only. Dov 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 Dov stops
- Works only in Claude, on your own Claude account.
- Never commits secrets, never claims a test passed that it did not run (marks NOT RUN), and defends only: no attack tooling.
- 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.