# Passport.Me Investor Memo (Structure)

## 0. Header
- Company: Passport.Me
- Tagline: Personal Context Infrastructure for AI, Powered by MDT
- Date
- Contact

## 1. Executive Summary (1 page)
- Problem in one paragraph
- Solution in one paragraph
- Why now
- Business model snapshot
- Raise ask + use of funds

## 2. Problem
- What breaks today in personal-context AI workflows
- Evidence points (user pain, friction, trust gaps)
- Who is most impacted (ICP)

## 3. Product & Solution
- Product architecture:
  - connectors
  - permission ledger
  - MCP context layer
  - skill execution
  - MDT metering
- What users get as outputs (reports, briefs, plans, receipts)

## 4. Differentiation
- Vs generic AI assistants
- Vs point automation tools
- Vs data wallets without AI utility
- Core moat:
  - cross-model portability
  - permission + receipt trust layer
  - tokenized usage economics

## 5. Market
- TAM / SAM / SOM framing
- Beachhead segments
- Expansion path (B2C -> teams -> B2B API)

## 6. GTM
- Acquisition channels
- Design partner strategy
- Product-led growth loop
- Pricing entry points

## 7. Business Model
- Subscriptions
- MDT usage/top-ups
- Enterprise/API contracts
- Unit economics assumptions

## 8. Token Model (MDT)
- Utility definition
- Usage mechanics
- User-visible transparency and guardrails
- Governance assumptions (if applicable)

## 9. Traction & Metrics
- Current traction table
- Key operating metrics:
  - time to first value
  - skills per WAU
  - MDT per successful outcome
  - retention cohorts

## 10. Roadmap (12-18 months)
- Product milestones
- Connector roadmap
- Enterprise features
- Ecosystem / partner roadmap

## 11. Team
- Founders
- Core technical leadership
- Gaps to hire

## 12. Risks & Mitigations
- Regulatory, security, adoption, dependency risks
- Mitigation plan for each

## 13. Fundraise
- Amount
- Instrument
- Runway target
- Milestone plan tied to capital

## Appendix
- Detailed pricing table
- Token sensitivity scenarios
- Security / trust controls
- Case studies