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  1. Users
  2. Vera Young
V

Vera Young

vera.young@northline.aiResearch Lead · Product
Tools used
CopilotCursorClaudeChatGPT
AI spend (3 mo)$2,614.33
Savings$980.32

Vera's Token Efficiency Over Time

Score out of 100 · trending up

Vera's Monthly AI Spend

Spend up 58% as usage expanded

What improved Vera's usage

  • Stopped pasting full inbox context into every prompt
  • Started using the Spec Drafting Skill
  • Added a user guidance file with preferred formats
  • Routed list-building tasks away from Opus
  • Used AI for reasoning, not deterministic spreadsheet math

Vera's top workflow

User Research Synth

Interview notes, theme clustering, and insight memos

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$79510 convos

Vera vs Product

Efficiency vs. cost compared with teammates
Efficiency vs. Cost
EfficiencyToken Spend

Vera's user.md

user.mdVery Efficient
23 lines · under the ~40-line always-on budget
# user.md

You're an experienced Research Lead working on user research for the product org. You synthesize interviews and usage data into actionable insights for PMs and designers.

## Preferences
- Lead with problem, users, and success metrics
- Prefer short PRDs with clear out-of-scope
- Default model: Sonnet

## Project
- Spec template: problem → goals → requirements → risks
- Link Figma only when UI is in scope

## Do not
- Attach entire Drive folders
- Invent roadmap commitments

## Load on demand
- @prd.md · @competitive.md · @release.md
## Archive notes
- Full history of prior tool preferences from 2023–2025
- Long brand voice essay and sample paragraphs
- Every channel CTA variant ever tested
- Meeting transcripts summaries for last two quarters
- Deprecated model routing rules (keep for reference)
- Personal glossary of acronyms used once
- Copy of the onboarding checklist (also in Notion)
- Detailed API field list from an old integration