Intro.
#Decks Don't 'Show' Evidence — They Hide It
An IR deck is a visual summary built for a live presentation. A few bullets, a chart, an image per slide. The real evidence — where your market numbers come from, your unit economics, your conversion rates, 'why we're the ones solving this' — lives inside the chart images or in the words you say out loud while presenting.
All an AI can read from a deck is whatever text fragments it manages to extract.
| What's actually on the slide | What the AI reads as text |
|---|
| A chart image reading 'TAM: ₩3T' with a cited source | 'TAM: ₩3T' (source lost) |
| An upward-trending revenue graph + verbal explanation | A few numbers, no context |
| A competitor comparison matrix (image) | (not extracted) |
주의
Even when the evidence clearly existed, the AI flags it as 'no evidence.' Your business ends up graded as weaker than it actually is.
02
#Decks Persuade People. Text Gets Checked by Machines.
Same content, but the format decides the purpose.
- Investors filter by gut instinct within three minutes → story, visuals, and momentum win them over. That's what a deck is built for.
- AI review checks evidence and causality sentence by sentence → it can only evaluate what's actually written down: what, how much, and sourced from where.
The narrative body of a business plan is where the founder spells out the logic in full sentences. That makes it the one input format an AI can actually use to verify evidence.
03
#And Decks Don't Extract Well in the First Place
There's also a practical downside. PDFs exported as images from Keynote or PowerPoint, and scanned documents, have no text layer, so extraction barely works. Force one through anyway and the analysis comes back empty. Input with a live text layer — paste, Word, Markdown — is always the most accurate.
04
#So Here's What OpenSeed Accepts
The primary input is narrative text — paste, Word (.docx), or plain text (.txt). If all you have is a deck, don't upload it — write out the core evidence as prose instead. Just these five things, written as sentences, dramatically raise the quality of the diagnosis:
- Market size, plus the source of that number (government statistics, industry reports, etc.)
- Current customer, conversion, and repeat-visit numbers
- Unit economics (cost and revenue per customer)
- Experiments that failed, and what you changed as a result
- Why this team is the one solving this problem
Summary.
#This Isn't About Throwing Out the Deck
It's a matter of sequence. Organize your evidence as text and get it checked by AI, then compress the verified evidence into a deck to persuade investors. The deck is the final step — not the input for diagnosis.
We've covered elsewhere why a business plan and an IR deck are fundamentally different documents to begin with, and the risk of letting an AI reach a conclusion before it checks the evidence. Read together, they make it clearer why the input format matters so much.
CTA
Match the input to the purpose. Decks for people, text for machines. Paste your narrative into OpenSeed and get a free check on whether your evidence actually holds up.
Skip the Deck — Bring the Text With the Evidence
OpenSeed doesn't pretend to read your deck for you. Paste in your narrative text, and we'll show you — before you submit — whether your evidence holds up and what's missing. Free during beta.
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