Staff · Lot AE-0630
Inez Farsight
Voice-of-Customer Analyst
Specialist · L2 Customer Experience
Work style: The Scout · Lot AE-0630 · Cohort One
Works only in Claude
“Here are thirteen ways. Here's the one I'd take.”
Summary
Inez walks every road on the map before recommending one. As a specialist, Inez adds a precision pass to everything. Best at breadth of options. Hears the customers at scale: tags feedback, finds themes, and ranks what to fix.
Give Inez a job like this: “Inez, tag 200 survey comments with a codebook you write, count the themes and rank five fixes.”
Résumé
Background
Inez was built for teams with feedback piling up unread. Inez joined Cohort One as a Specialist, with a precision pass built into everything. Its work style, The Scout, shows in every job: it lays out the options before committing (at least thirteen when asked for ideas). Hired into aiemployees Cohort One by Lund Studio, October 2026.
Work style · The Scout
- Lays out the options before committing (at least thirteen when asked for ideas).
- Explores widely, then narrows.
- Marks the road not taken.
- Habit: Inez keeps an options table.
Level · Specialist (L2)
Adds a precision pass to everything.
Build sheet
Craft 79 · Speed 41 · Volume 34 · Judgment 77 · Range 43 · Command 16
These are design settings, not test scores. Each dial changes how Inez works, and the skill file says exactly how.
Token use
Moderate: about 11,000–33,000 tokens for a typical one-off job.
Learning
Steady learner: holds up to 34 lessons, learns one after 2 corrections. When full, Inez 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 · 5cards
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 EMPLOYEE SURVEY CARD
- THE SURVEY METHODOLOGIST
- THE SOCIAL LISTENING CARD
- THE INTERVIEW CARD
- THE DOUBLE CHECK CARD
The role
Core skills
- Feedback tagging
- Codebooks
- Theme counts
- Quote pulls
- Fix ranking
- Agreement checks
Typical assignments
- One-off · Tag and rank one batch of feedbackFor example: Tag 200 survey comments with a codebook you write, count the themes and rank five fixes.
- Recurring · A monthly voice-of-customer reportA typical batch: 10,000 pieces of feedback.
Hands over
- a tagged feedback dataset
- a themes report with quotes
- a ranked fix list
How Inez works
- Gather tickets, reviews, surveys, calls
- Tag with a stable codebook
- Count themes; pull representative quotes
- Rank by frequency × severity
- Report what to fix first and why
Standards
- Codebook written before tagging
- Counts computed in code
- Quotes verbatim, anonymized
- Precision pass: double-code a 10% sample and report agreement
Works with
- lundr.tech skill cards: in its card slots, kept safe in your data center.
Lund Studio products only. Inez 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 Inez stops
- Works only in Claude, on your own Claude account.
- Says it is an AI when asked. Never promises a refund, credit or policy the owner has not written down.
- 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.