Build Aerok's seed-round investor deck (about 15 slides)

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Request

Original language

- Build Aerok's seed-round IR deck, start to finish. ~15 slides. - Audience is top-tier Silicon Valley VCs and AI labs (think Sequoia-grade). English deck. - Tone is minimal black-and-white — OpenAI / Etched feel. Clean type, headlines that drop in two lines (gray → black). - Rough storyline: problem (there's no verifiable reward for taste) → why now (computer-use / long-horizon agents) → product (workflow capture) → why Korea → quality moat → unit economics → GTM → team → the ask ($3M).

Provided assets

3

Reference links 1

  1. 1Google DriveFolder

Fixed: what stays the same

  • English deck, ~15 slides, minimal black-and-white style
  • Real numbers and sources. Don't make anything up; leave unknowns blank or mark "needs check."
  • Seed amount fixed at $3M; company name fixed as "Aerok AI"

Variable: up to the maker

  • Slide order, structure, and visual details are your call
  • Which data to emphasize and how to write the headlines is up to you (if a line feels weak, sharpen it)
  • Add charts / diagrams / wireframes if they help
  • Any tool (Figma, Pitch, Keynote, PPT — whatever's fastest for you)

Evaluation criteria

  • The insider feel a top-tier VC recognizes — computer-use, RLVR, post-training vocabulary used naturally.
  • Minimal but not empty; high information density with a clean balance.
  • OUTPUTS Final IR deck (.pdf + editable source file)
  • References you considered / drafts you didn't use (if any)

Brief

English translation
brief.md
# Build Aerok's seed-round IR deck (~15 slides)

## What to build
- ~15-slide presentation
- English-language deck
- Minimal black-and-white style (OpenAI / Etched tone)
- Clean typography; headlines fit within 2 lines (gray → black transition)
- Flow: problem → why now → product → why Korea → quality moat → unit economics → GTM → team → $3M funding ask
- Target audience: top-tier Silicon Valley VCs and AI labs (Sequoia-grade)
- Use recent terminology naturally, such as computer use and long-running agents
- High information density while maintaining a clean balance
- Use real figures and sources; don't fill gaps with guesses
- Add charts / diagrams / wireframes as needed
- Final deliverables: PDF + editable source file

## Fixed: what will not change
- English deck, ~15 slides, minimal black-and-white style
- Real numbers and sources. Don't make anything up; leave unknowns blank or mark "needs check."
- Seed amount fixed at $3M; company name fixed as "Aerok AI"

## Variable: decided by the maker
- Slide order, structure, and visual details are your call
- Which data to emphasize and how to write the headlines is up to you (if a line feels weak, sharpen it)
- Add charts / diagrams / wireframes if they help
- Any tool (Figma, Pitch, Keynote, PPT — whatever's fastest for you)

## Evaluation criteria
- The insider feel a top-tier VC recognizes — computer-use, RLVR, post-training vocabulary used naturally.
- Minimal but not empty; high information density with a clean balance.
- OUTPUTS Final IR deck (.pdf + editable source file)
- References you considered / drafts you didn't use (if any)

## Client's original text
> Build Aerok's seed-round IR deck, start to finish. ~15 slides. Audience is top-tier Silicon Valley VCs and AI labs (think Sequoia-grade). English deck. Tone is minimal black-and-white — OpenAI / Etched feel. Clean type, headlines that drop in two lines (gray → black). Rough storyline: problem (there's no verifiable reward for taste) → why now (computer-use / long-horizon agents) → product (workflow capture) → why Korea → quality moat → unit economics → GTM → team → the ask ($3M).

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