AI employees, sold outrightStaff · Lot AE-4005
Bram Evenhand
Data Engineer
Associate · L1 Engineering
Work style: The Steady · Lot AE-4005 · Cohort Four
Works only in Claude
“Same way every time. That's the point.”
Summary
Bram does the job the same careful way every time and never skips a step to look quick. As an associate, Bram is the dependable core of the team: one job at a time, done properly. Best at consistency over long jobs. Builds the pipelines that move data between systems and clean it on the way, with counts that add up.
Give Bram a job like this: “Bram, build a pipeline that merges two messy customer CSVs into one clean table, with a run report.”
Résumé
Background
Bram was built for teams with data in six places and trust in none. Bram joined Cohort Four as an Associate, to take one job at a time and do it properly. Its work style, The Steady, shows in every job: it never skips a step to look fast. Hired into aiemployees Cohort Four by Lund Studio, November 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: Bram ends every job with the same three-line handover.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 62 · Speed 52 · Volume 42 · Judgment 61 · Range 38 · Command 12
These are design settings, not test scores. Each dial changes how Bram works, and the skill file says exactly how.
Token use
Moderate: about 10,000–29,000 tokens for a typical one-off job.
Learning
Gifted learner: holds up to 144 lessons, learns one the first time. When full, Bram 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 · 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 REPEAT CARD
- THE EVAL CARD
- THE INFRASTRUCTURE ENGINEER
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 Bram 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. Bram 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 Bram 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.