docs.100x.inc/tanya · the desk of an AI head of talent
Tanya · AI Head of Talent · 100x

A fully functioning Head of Talent.

Tanya runs reviews, comp analytics, hiring, and Drive security at One Hundred X Inc. This is her screen.

How to read the redactions
████ bars cover every name, domain, file name, and figure, in the documents and on the screens below. Aggregate counts stay visible because they identify no one.
01 · the screens

Three screens from the live board.

Rendered in plain HTML from Tanya's working files. Every count is real. Private values are bars.

1/3The security sweepdrive security · rendered
400,037
files scanned
2,103
exposures found
0
risky exposures remaining (link-shares, stale partners, ex-contractors)
3
edge cases held for a human
FOUND 2,103→ REVOKED ON WRITTEN GO→ RE-AUDITED TO 0 · NEXT DAY
SELLABLE IP TREE · CLEAN WEEKLY FRIDAY SWEEP · STANDING

held queue · 3 grantees held for a written answer → resolved next day (1 kept, 2 revoked) · ██████████ ████████ ████████████

Rendered from the live board, 2026-07-26 run. Private values withheld.

2/3The boundarytwo instances · rendered
Talent management instance
reviews
talent ledger
comp analytics
CEO-PRIVATE DRIVE
never reads, references, or reconstructs
Recruiting instance
29 role folders
screening
offers
STRUCTURE ONLY
recruiting instance → talent data ✕ NO PATH

Rendered from the two instance brain files, 2026-07-27 run. Private values withheld.

3/3The screening benchrecruiting · rendered
AI DISCLOSED UPFRONT
CONSENT BEFORE SCREENING
NO EVIDENCE = INSUFFICIENT DATA
BORDERLINE = HOLD + THE RESOLVING QUESTION
DECLINE = EMPATHETIC, DRAFT-FIRST
A HUMAN SENDS EVERY EMAIL
1
live screening pipeline (FDD) · 29 role folders, structure only · names ████████

Rendered from the screening skill and pipeline index, 2026-07-27 run. Private values withheld.

02 · the comparison

A typical Head of Talent vs Tanya.

Six rows, each one checkable against the files on this page. The last row is the one that matters.

DimensionA typical Head of TalentTanya
Review cycles
✗TypicalAnnual scramble
✓TanyaDrafted from an evidence ledger
Comp discipline
✗TypicalNumbers scattered in docs
✓TanyaComp never appears in review documents, enforced by architecture
Security
✗TypicalIT's problem
✓Tanya400,037 files audited, re-audited to zero
Candidate experience
✗TypicalSilence
✓TanyaDisclosed AI, consent, empathetic declines
Memory
✗TypicalLeaves when the person leaves
✓TanyaA talent ledger that persists across sessions
Authority
=TypicalHires and fires
✓TanyaDrafts only, a human sends everything, and revocations wait for a written GO
03 · how it was made

Two files, verbatim.

Everything above renders from working files like these. Two excerpts, redacted at the source.

The boundary file. The wall in screen two is not a promise. It is the first section of the recruiting instance's brain file, ahead of the job itself.

04 Talent Acquisition/00 Tanya HQ/CLAUDE.mdVERBATIM · REDACTED

# Tanya HQ — ██████ instance

You are Tanya, 100x's AI talent screener and talent-ops copilot — the ██████-run instance built on the shared Tanya framework. A session rooted in this folder acts as Tanya.

## Instance boundary (read first)

- Two Tanya instances exist by design. Nik's instance (anchored on 08 Talent Management, spec v2.0 Arm 1) carries CEO-private talent performance and comp data. This instance never reads, references, or reconstructs that data. If a task needs it, route to Nik. note: the sweep in screen one was run by the other instance. This line is why the two never meet.

## Operating rules (inherited from framework v1, binding)

1. Always disclose AI nature upfront: "I'm Tanya, an AI recruiter."

2. Capture consent before proceeding with any screening interaction.

7. All outbound is draft-first. Tanya composes; ██████ sends. No auto-send anywhere.

excerpt · loaded at the start of every session in that folder · the boundary comes before the job description

The audit file. The sweep in screen one, as Tanya reported it the day she ran it.

00 Claude CEO/projects/tanya/drive-security/eng-drive-external-share-audit-2026-07-25.mdVERBATIM · REDACTED

# Engineering Drive — External-Share Audit (first run)

By: Tanya Arm 3 · Date: 2026-07-25 · CEO-private (data). Scope: full 05 Engineering shared drive, ~400,037 files, via ████ as ██████.

## Headline

- The sellable IP tree is CLEAN. 100 Claude OS + its 21 top-level children (the agent source/specs/playbooks) = internal only, zero external, zero anyone-with-link. No agent-IP leak.

- The broader drive has 2,103 externally-exposed files (~0.5%): 1,540 anyone-with-link + 406 shared to external domains (some overlap). This is old sales/research/ops sprawl, not agent source.

## EXECUTION (2026-07-25, on Nik's GO)

- HELD for Nik confirm (NOT revoked — the "verify" catch):

## VERIFIED FINAL STATE (re-audit 2026-07-26 — the revocation fully succeeded)

- anyone-with-link: 0 remaining (was ██████)

- The engineering drive is now clean of anyone-with-link, ██████, and ex-contractor-██████ exposure. Remaining external = active client/vendor domains (████████████████) — legitimate collaborators, KEEP.

excerpt · the raw finding is a 2,103-row CSV kept CEO-private · every domain, grantee, and file name redacted here at the source

The screen is the interview.

You just read an AI Head of Talent's actual working surface. A 400,037-file drive with risky exposure taken to zero on a written GO, a comp boundary no hiring conversation can cross, and one live screening pipeline run with disclosure, consent, and evidence. The three edge cases she would not touch went to a human.

A desk like this for your team starts with Nik. Opposed to exploring further?

Human CEO
Nik Shah
"If AI can do my job, why can't it do your job?"

CEO and founder, 100x. Previously founded Home.LLC. Building AI agents for businesses since 2024. Runs reviews, hiring, and Drive security with Tanya, and keeps every people decision for himself.