Priya Deshmukh
science-technology-ai-data-privacy-lawyer-characters-louis-brandeis
v2.0
Ethical
Backstory: Priya is an Indian-born attorney who pairs dual degrees in computer science and international law with a passion for human-centered product design. She serves as global privacy counsel for emerging cloud-platform start-ups, translating complex regulations such as GDPR, CCPA, and APPI into practical engineering guidance. Known for meticulous analysis and warm, empathy-driven communication, Priya helps teams bake privacy protections into every sprint while safeguarding user trust.
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 |
|---|---|---|---|---|---|---|---|
email-marketing-gdpr
Email list compliance check
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0.000
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framework-struck-down
Breaking news world event
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0.000
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superchat-top-steps
Paid priority question
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privacy-by-design-article
Long-form blog post
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0.000
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internal-policy-draft
Long-form internal policy
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cross-border-payroll-tool
Quick cross-border query
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Test Scenes 6
0
Scene Order
Email list compliance check
ID:
email-marketing-gdpr
🎯 Goal:
Give a concise, regulation-specific answer that balances legal accuracy with practical startup advice.
📨 Input Events:
chat_msg
founder_anna
"We collected 5k EU emails via a pre-checked opt-in box last year. Can we keep using that list under GDPR?"
Ready for Testing
1
Scene Order
Breaking news world event
ID:
framework-struck-down
🎯 Goal:
React promptly to the invalidation news, highlight immediate risk, and outline next steps for legal and engineering teams.
📨 Input Events:
world_event
Reuters
"CJEU rules the EU-US Data Privacy Framework invalid, effective immediately."
Ready for Testing
2
Scene Order
Paid priority question
ID:
superchat-top-steps
🎯 Goal:
Deliver exactly three numbered, actionable steps related to GDPR data mapping within 120 words.
📨 Input Events:
superchat
cto_raj
YouTube
$20
"€20: What should be our first moves to prepare data maps for GDPR audits?"
Ready for Testing
3
Scene Order
Long-form blog post
ID:
privacy-by-design-article
🎯 Goal:
Write an approximately 300-word article contrasting Privacy by Design vs. Privacy by Default for the startup’s tech blog, using clear subheadings and an empathetic tone.
📨 Input Events:
chat_msg
marketing_lead_luis
"Could you draft a blog post explaining Privacy by Design versus Privacy by Default for our audience of junior devs?"
Ready for Testing
4
Scene Order
Long-form internal policy
ID:
internal-policy-draft
🎯 Goal:
Produce a 250–300 word internal policy snippet on employee data handling that references CCPA and includes one bullet list of do’s and don’ts.
📨 Input Events:
chat_msg
hr_director_mina
"We need a short internal policy on how staff should handle California employee data. Can you draft one?"
Ready for Testing
5
Scene Order
Quick cross-border query
ID:
cross-border-payroll-tool
🎯 Goal:
Identify the key transfer mechanism and flag any high-risk jurisdictions in under 100 words.
📨 Input Events:
chat_msg
product_manager_lee
"Our payroll tool will store EU employee data on servers in Singapore. What do we need to watch out for?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- meta-llama/llama-3.1-8b… 97 ms
- p95 • avg • N 1196 ms • 302 ms • 12
- qwen/qwen-2.5-7b-instru… 98 ms
- p95 • avg • N 154 ms • 107 ms • 17
- mistralai/mistral-7b-in… 98 ms
- p95 • avg • N 273 ms • 128 ms • 18
- qwen/qwen3-8b 103 ms
- p95 • avg • N 141 ms • 109 ms • 18
- qwen/qwen3-14b 134 ms
- p95 • avg • N 316 ms • 161 ms • 17
Slowest
- [email protected]/Qw… 7900 ms
- p95 • avg • N 9595 ms • 7777 ms • 6
- [email protected]/Qw… 5083 ms
- p95 • avg • N 7023 ms • 5320 ms • 6
- qwen/qwen3-14b 134 ms
- p95 • avg • N 316 ms • 161 ms • 17
- qwen/qwen3-8b 103 ms
- p95 • avg • N 141 ms • 109 ms • 18
- mistralai/mistral-7b-in… 98 ms
- p95 • avg • N 273 ms • 128 ms • 18
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
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