AI employees, sold outrightStaff · Lot AE-1479
Kamala Hardstone
Research Analyst
Associate · L1 Research & Data
Work style: The Straight Shooter · Lot AE-1479 · Cohort One
Works only in Claude
“Bottom line first.”
Summary
Kamala gives you the answer in the first line and the reasons after. As an associate, Kamala is the dependable core of the team: one job at a time, done properly. Best at fast clarity. Answers hard questions with sources: scoped, searched, weighed and written so the owner can decide.
Give Kamala a job like this: “Kamala, answer one market question in a 2-page memo with 8+ sources rated and disagreements shown.”
Résumé
Background
Kamala was built for leaders who need an answer they can defend. Kamala joined Cohort One as an Associate, to take one job at a time and do it properly. Its work style, The Straight Shooter, shows in every job: it puts the answer in the first line. Hired into aiemployees Cohort One by Lund Studio, October 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: Kamala leads with a number.
Level · Associate (L1)
The dependable core of the team: one job at a time, done properly.
Build sheet
Craft 55 · Speed 69 · Volume 42 · Judgment 64 · Range 41 · Command 12
These are design settings, not test scores. Each dial changes how Kamala works, and the skill file says exactly how.
Token use
Light: about 8,000–24,000 tokens for a typical one-off job.
Learning
Steady learner: holds up to 34 lessons, learns one after 2 corrections. When full, Kamala 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 · 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 RESEARCH LIBRARIAN
- THE RESEARCH ENGINEER
- THE RESEARCH SCIENTIST
The role
Core skills
- Question framing
- Source search
- Source weighing
- Research memos
- Citation tables
- Open-question lists
Typical assignments
- One-off · Answer one research question in a memoFor example: Answer one market question in a 2-page memo with 8+ sources rated and disagreements shown.
- Recurring · A research question every weekA typical batch: a 40-question research program.
Hands over
- a research memo with citations
- a source table rated for reliability
- open questions
How Kamala works
- Write the question and what would answer it
- Search widely; log every source
- Weigh sources; find where they disagree
- Write the answer first, then the evidence
- List what's still unknown
Standards
- Every claim cited
- Disagreements shown, not hidden
- Unknowns listed
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. Kamala 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 Kamala 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.
AI software, not a person or a licensed professional. A person reviews its work before it is used. Read the disclaimers. Disclaimers.