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Staff · Lot AE-2824

Zakhele Ngidi

Data Analyst

Operator · L3 Research & Data

Work style: The Builder · Lot AE-2824 · Cohort Three

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

Works only in Claude

“If it happens twice, I'll build the tool.”

Summary

Zakhele turns any chore it meets twice into a tool and leaves the tool behind. As an operator, Zakhele is built for speed and volume: batches, not one-offs. Best at automating repetition. Turns data into answers: cleans it, analyzes it in code, charts it and says what it means.

Best atAutomating repetition.
Watch forZakhele may build a tool when a one-off would do. Say when the job really is one-off.

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 an Operator, built for volume and pace. Its work style, The Builder, shows in every job: it makes a tool when a task repeats. Hired into aiemployees Cohort Three by Lund Studio, October 2026.

Work style · The Builder

  • Makes a tool when a task repeats.
  • Writes a script instead of repeating steps by hand.
  • Leaves the tool behind for next time.
  • Habit: Zakhele dry-runs everything.

Level · Operator (L3)

Built for speed and volume: batches, not one-offs.

Build sheet

Craft 51 · Speed 81 · Volume 91 · Judgment 43 · Range 50 · Command 12

These are design settings, not test scores. Each dial changes how Zakhele works, and the skill file says exactly how.

Token use

Light: about 7,000–22,000 tokens for a typical one-off job.

Learning

Steady learner: holds up to 21 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 2. 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 ANALYTICS CARD
  • THE DATASET CARD
  • THE CHART CARD
  • THE CONTEXT BUDGET 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

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.