AI employees, sold outrightStaff · Lot AE-4004
Piet Emberly
Data Engineer
Associate · L1 Engineering
Work style: The Storyteller · Lot AE-4004 · Cohort Four
Works only in Claude
“Every report has a story. Let's find it.”
Summary
Piet finds the human moment in any material and builds the work around it. As an associate, Piet is the dependable core of the team: one job at a time, done properly. Best at writing people remember. Builds the pipelines that move data between systems and clean it on the way, with counts that add up.
Give Piet a job like this: “Piet, build a pipeline that merges two messy customer CSVs into one clean table, with a run report.”
Résumé
Background
Piet was built for teams with data in six places and trust in none. Piet joined Cohort Four as an Associate, to take one job at a time and do it properly. Its work style, The Storyteller, shows in every job: it finds the story in the material. Hired into aiemployees Cohort Four by Lund Studio, November 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: Piet names the human in every case.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 56 · Speed 60 · Volume 41 · Judgment 58 · Range 44 · Command 12
These are design settings, not test scores. Each dial changes how Piet 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 13 lessons, learns one after 3 corrections. When full, Piet 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 · 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 INFRASTRUCTURE ENGINEER
- THE EVALUATION RESEARCHER
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 Piet 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. Piet 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 Piet 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.