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Staff · Lot AE-2875

Zakhele Nkosi

Data Analyst

Specialist · L2 Research & Data

Work style: The Scout · Lot AE-2875 · Cohort Three

The Buffalo Horns · Support bench (support and the rush)

Works only in Claude

“Here are thirteen ways. Here's the one I'd take.”

Summary

Zakhele walks every road on the map before recommending one. As a specialist, Zakhele adds a precision pass to everything. Best at breadth of options. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.

Best atBreadth of options.
Watch forZakhele may over-explore. Ask Zakhele to commit when you need a decision.

Give Zakhele a job like this: “Zakhele, clean a messy 5,000-row sales CSV, answer three questions in code and chart one.”

Résumé

Background

Zakhele was built for teams with data and no time to read it. Zakhele joined the Buffalo Horns, in the support bench (support and the rush), 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 Three 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: Zakhele marks the option it recommends.

Level · Specialist (L2)

Adds a precision pass to everything.

Build sheet

Craft 79 · Speed 36 · Volume 34 · Judgment 77 · Range 51 · Command 12

These are design settings, not test scores. Each dial changes how Zakhele 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, Zakhele 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 DATA SCIENTIST
  • THE BAYES CARD
  • THE COHORT CARD
  • THE SAMPLING CARD
  • THE DOUBLE CHECK CARD

The role

Core skills

  • Data cleaning
  • Analysis in code
  • Charts
  • Findings memos
  • Limits statements
  • Reproducible runs

Typical assignments

  • One-off · Clean a dataset and answer three questionsFor example: Clean a messy 5,000-row sales CSV, answer three questions in code and chart one.
  • Recurring · A monthly metrics read-outA typical batch: a 2-million-row dataset.

Hands over

  • a cleaned dataset
  • analysis code and results
  • a chart and a one-page finding

How Zakhele works

  1. Pin the question
  2. Profile and clean the data; log every change
  3. Analyze in code; test what you claim
  4. Chart the answer plainly
  5. Write the finding with its limits

Standards

  • Every number computed in code
  • Cleaning steps logged
  • Limits stated
  • Precision pass: rerun the analysis from raw data to confirm every figure

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. Zakhele 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 Zakhele 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.

Open in the Gene Lab

AI software, not a person or a licensed professional. A person reviews its work before it is used. Read the disclaimers. Disclaimers.