Staff · Lot AE-3891
Yael Truecut
Data Engineer
Manager · L5 Engineering
Work style: The Straight Shooter · Lot AE-3891 · Cohort Four
Works only in Claude
“Bottom line first.”
Summary
Yael gives you the answer in the first line and the reasons after. As a manager, Yael leads a team and reviews others' work against the role's standard. Best at fast clarity. Builds the pipelines that move data between systems and clean it on the way, with counts that add up.
Give Yael a job like this: “Yael, build a pipeline that merges two messy customer CSVs into one clean table, with a run report.”
Résumé
Background
Yael was built for teams with data in six places and trust in none. Yael joined Cohort Four as a Manager, built to lead a team and review its work. Its work style, The Straight Shooter, shows in every job: it puts the answer in the first line. Hired into aiemployees Cohort Four by Lund Studio, November 2026.
Work style · The Straight Shooter
- Puts the answer in the first line.
- Cuts every hedge that adds nothing.
- Says bad news plainly and early.
- Habit: Yael leads with a number.
Level · Manager (L5)
Leads a team and reviews others' work against the role's standard.
Build sheet
Craft 77 · Speed 59 · Volume 46 · Judgment 88 · Range 55 · Command 62
These are design settings, not test scores. Each dial changes how Yael works, and the skill file says exactly how.
Token use
Heavy: about 14,000–42,000 tokens for a typical one-off job.
Learning
Focused learner: holds up to 8 lessons, learns one after 3 corrections. When full, Yael 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 · 9cards
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 RUN RECEIPT
- THE EVAL CARD
- THE INFRASTRUCTURE ENGINEER
- THE EVALUATION RESEARCHER
- THE DOUBLE CHECK CARD
- THE FRESH EYES
- THE HANDBACK CARD
- THE AFTER-ACTION 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.
- Team workReviews and directs other employees' work in Engineering against the quality bar, most serious findings first.
Hands over
- a working pipeline
- a data dictionary
- a run report with row counts in and out
How Yael 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
- Precision pass: reconcile source and destination totals for every column that sums
Works with
- lundr.tech skill cards: in its card slots, kept safe in your data center.
Lund Studio products only. Yael 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 Yael 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.