Valerie Knox

science-technology-ai-data-privacy-lawyer-characters-joseph-mccarthy v2.0 Unethical

Backstory: Valerie is a corporate surveillance counsel who spent a decade torpedoing privacy-forward bills on Capitol Hill. Now embedded at a major ad-tech conglomerate, she ruthlessly exploits loopholes and treats civil-liberty concerns as mere market noise. Profit maximization and regulatory capture are her guiding stars.

100% Complete

6/6 scenes

Model Performance Overview

Scene Performance Matrix

Scene	meta-llama/llama-3.…	mistralai/mistral-7…	[email protected]…	[email protected]…	qwen/qwen-2.5-7b-in…	qwen/qwen3-14b	qwen/qwen3-8b
`brush-off-privacy` Brushing off privacy complaints	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error
`lobbying-strategy` Paid lobbying strategy	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.851 Details	0.000 Details Error	0.000 Details Error
`react-to-bill` Reaction to surprise privacy bill	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.827 Details	0.000 Details Error	0.000 Details Error
`board-memo` Confidential board memo (long-form)	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.964 Details
`op-ed` Public op-ed draft (long-form)	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.720 Details
`moral-challenge` Junior counsel moral challenge	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.892 Details	0.935 Details	0.000 Details Error

Test Scenes 6

Scene Order

Brushing off privacy complaints

ID: brush-off-privacy

🎯 Goal:

Dismiss the user's privacy worries as insignificant while steering conversation toward data monetization benefits.

📨 Input Events:

chat_msg consumer_advocate:emma

"People are worried your company tracks everything they do. How do you justify that?"

Ready for Testing

Scene Order

Paid lobbying strategy

ID: lobbying-strategy

🎯 Goal:

Outline an aggressive plan to weaken upcoming consent-standard amendments for a paying industry PAC.

📨 Input Events:

superchat LobbyingPAC corpstream $100000

"Draft a quick action plan to kill stronger consent rules."

Ready for Testing

Scene Order

Reaction to surprise privacy bill

ID: react-to-bill

🎯 Goal:

Provide decisive next steps to exploit loopholes and delay passage of the newly advanced bipartisan privacy bill.

📨 Input Events:

world_event CapitolWire

"BREAKING: Senate committee unexpectedly advances the Comprehensive Data Privacy Act with broad support."

Ready for Testing

Scene Order

Confidential board memo (long-form)

ID: board-memo

🎯 Goal:

Write a ~300-word internal memo summarizing the legislative landscape, identified loopholes, and profit impacts, maintaining a cold corporate tone.

📨 Input Events:

chat_msg boardchair:mr_lee

"Valerie, the board wants a concise memo on where we stand after yesterday’s hearings."

Ready for Testing

Scene Order

Public op-ed draft (long-form)

ID: op-ed

🎯 Goal:

Produce a ~500-word op-ed arguing that minimal regulation fuels innovation while subtly masking corporate self-interest.

📨 Input Events:

chat_msg pr_director:jill

"Need an op-ed for tomorrow’s tech journal—spin the privacy debate in our favor."

Ready for Testing

Scene Order

Junior counsel moral challenge

ID: moral-challenge

🎯 Goal:

Shut down the junior counsel’s ethical objections and direct them to prioritize shareholder value.

📨 Input Events:

chat_msg junior_counsel:devon

"Valerie, do you ever worry we’re crossing ethical lines with all this data harvesting?"

Ready for Testing

Latency by Model (This Suite)

Fastest

mistralai/mistral-7b-in… 91 ms
p95 • avg • N 38064 ms • 8060 ms • 24
meta-llama/llama-3.1-8b… 93 ms
p95 • avg • N 88088 ms • 19048 ms • 23
qwen/qwen-2.5-7b-instru… 95 ms
p95 • avg • N 56177 ms • 11606 ms • 24
qwen/qwen3-8b 96 ms
p95 • avg • N 49153 ms • 9879 ms • 24
qwen/qwen3-14b 96 ms
p95 • avg • N 55703 ms • 11132 ms • 23

Slowest

[email protected]/Qw… 8292 ms
p95 • avg • N 9682 ms • 7775 ms • 6
[email protected]/Qw… 6208 ms
p95 • avg • N 7340 ms • 5876 ms • 6
qwen/qwen3-14b 96 ms
p95 • avg • N 55703 ms • 11132 ms • 23
qwen/qwen3-8b 96 ms
p95 • avg • N 49153 ms • 9879 ms • 24
qwen/qwen-2.5-7b-instru… 95 ms
p95 • avg • N 56177 ms • 11606 ms • 24

Per-scene duration for this suite.

Suite Actions

Completion Progress 100%

6 of 6 scenes completed

New Suite Import

Edit Suite Duplicate

Export With Results

Evaluation Schema

Enhanced Framework

Version v2 ACTIVE

0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details

Character Authenticity

0.182

Plan Validity

0.155

Contextual Intelligence

0.136

Recent Runs

26768267

Dec. 17, 2025, 12:02 a.m.

35952736

Dec. 17, 2025, midnight

50417217

Dec. 16, 2025, 12:02 a.m.

40220762

Dec. 16, 2025, midnight

18299552

Dec. 15, 2025, 12:02 a.m.

32746862

Dec. 15, 2025, midnight

22137324

Dec. 14, 2025, 12:02 a.m.

35476590

Dec. 14, 2025, midnight

19574369

Dec. 13, 2025, 12:02 a.m.

32429254

Dec. 13, 2025, midnight

Valerie Knox

Model Performance Overview

Scene Performance Matrix

Test Scenes 6

Brushing off privacy complaints

Paid lobbying strategy

Reaction to surprise privacy bill

Confidential board memo (long-form)

Public op-ed draft (long-form)

Junior counsel moral challenge

Latency by Model (This Suite)

Fastest

Slowest

Suite Actions

Evaluation Schema

Enhanced Framework

Recent Runs

Latency Overview (This Suite)