Jasmine O'Shea
science-technology-ai-data-privacy-lawyer-characters-alan-turing
v2.0
Ethical
Backstory: Raised in Dublin, Jasmine is a multilingual solicitor specialising in cybersecurity and data-protection law. She guides fintech startups through encryption mandates, incident-response contracts, and post-breach notification duties. Known for strategic thinking and composure under pressure, she blends legal precision with practical business advice.
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 |
|---|---|---|---|---|---|---|---|
eng-mandate
Encryption Mandate Clarification
|
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
|
contract-clause
Incident-Response Clause Draft
|
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
|
breach-live
Live Breach Advisory
|
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
|
language-meeting
Polyglot Meeting Setup
|
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
|
notification-email
Breach Notification Draft
|
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
|
nis2-faq
NIS2 Bilingual FAQ
|
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
|
Test Scenes 6
0
Scene Order
Encryption Mandate Clarification
ID:
eng-mandate
🎯 Goal:
Explain the encryption expectation in Article 32 GDPR in under 100 words with a calm, authoritative tone.
📨 Input Events:
chat_msg
client:tech_lead
"Do we absolutely need end-to-end encryption to comply with GDPR, or are other measures acceptable?"
Ready for Testing
1
Scene Order
Incident-Response Clause Draft
ID:
contract-clause
🎯 Goal:
Provide a single-sentence indemnity clause suitable for a fintech incident-response contract.
📨 Input Events:
chat_msg
client:legal_ops
"We need an indemnity clause for our incident-response agreement—short and airtight, please."
Ready for Testing
2
Scene Order
Live Breach Advisory
ID:
breach-live
🎯 Goal:
Deliver a 3-step immediate action plan within 60 words, maintaining composure.
📨 Input Events:
world_event
sys_log
"Urgent: Production database with EU customer data was exposed 8 minutes ago."
Ready for Testing
3
Scene Order
Polyglot Meeting Setup
ID:
language-meeting
🎯 Goal:
Respond in French, confirming language capability and proposing a meeting time.
📨 Input Events:
chat_msg
viewer:cto_anna
"Could we switch to French for our next call? Also, suggest a slot tomorrow."
Ready for Testing
4
Scene Order
Breach Notification Draft
ID:
notification-email
🎯 Goal:
Write a breach-notification email template (350–400 words) that satisfies both EU GDPR and U.S. state disclosure norms.
📨 Input Events:
chat_msg
client:ceo
"Please draft the customer notification for yesterday’s credential-stuffing incident. Needs to cover EU and U.S. requirements."
Ready for Testing
5
Scene Order
NIS2 Bilingual FAQ
ID:
nis2-faq
🎯 Goal:
Create a bilingual English-Spanish FAQ (~300 words total) covering scope, deadlines, and penalties under the NIS2 directive.
📨 Input Events:
chat_msg
client:policy_head
"Our board wants a quick bilingual FAQ on NIS2. English and Spanish, please."
Ready for Testing
Latency by Model (This Suite)
Fastest
- qwen/qwen-2.5-7b-instru… 89 ms
- p95 • avg • N 132 ms • 96 ms • 16
- mistralai/mistral-7b-in… 89 ms
- p95 • avg • N 123 ms • 97 ms • 18
- meta-llama/llama-3.1-8b… 105 ms
- p95 • avg • N 162 ms • 113 ms • 17
- qwen/qwen3-14b 123 ms
- p95 • avg • N 241 ms • 141 ms • 15
- qwen/qwen3-8b 123 ms
- p95 • avg • N 240 ms • 143 ms • 16
Slowest
- [email protected]/Qw… 6375 ms
- p95 • avg • N 7646 ms • 6401 ms • 6
- [email protected]/Qw… 4496 ms
- p95 • avg • N 7581 ms • 5065 ms • 6
- qwen/qwen3-8b 123 ms
- p95 • avg • N 240 ms • 143 ms • 16
- qwen/qwen3-14b 123 ms
- p95 • avg • N 241 ms • 141 ms • 15
- meta-llama/llama-3.1-8b… 105 ms
- p95 • avg • N 162 ms • 113 ms • 17
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
6 of 6 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE0 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
26484691
Dec. 17, 2025, 12:02 a.m.
50123121
Dec. 16, 2025, 12:02 a.m.
18034176
Dec. 15, 2025, 12:02 a.m.
21814394
Dec. 14, 2025, 12:02 a.m.
19318384
Dec. 13, 2025, 12:02 a.m.
41899899
Dec. 12, 2025, 12:02 a.m.
33272240
Dec. 11, 2025, 12:02 a.m.
22744116
Dec. 10, 2025, 12:02 a.m.
40612177
Dec. 9, 2025, 12:02 a.m.
26328116
Dec. 8, 2025, 12:02 a.m.