Welcome to the post-product era. Where founders don’t build things – they prompt them.
No MVP. No wireframes. Just a screenshot of ChatGPT generating a logo, a copywriting prompt that rhymes, and a line that reads:
“This is not a prototype. This is the future.”
Welcome to 2025: where VCs don’t ask “What’s your Total Addressable Market?” They ask, “What’s your GPT-4o score?”
From TAM to LLM: How the Pitch Deck Died
A few years ago, founders pitched with decks that looked like this:
| Slide | Content |
|---|---|
| Slide 1 | Problem |
| Slide 2 | Market Size (TAM, SAM, SOM) |
| Slide 3 | Product Demo |
| Slide 4 | Team |
| Slide 5 | Go-to-Market Strategy |
Now?
| Slide | Content |
|---|---|
| Slide 1 | We used ChatGPT to summarize our vision. |
| Slide 2 | This is our prompt stack. |
| Slide 3 | LLM-generated UI mockups using Midjourney. |
| Slide 4 | Auto-generated roadmap via Claude. |
| Slide 5 | We don’t need a team—we have GPTs. |
Execution is dead. Prompt engineering is the new hustle. And somehow, this absurdity is working.
Exhibit A: The AI-Deck Industrial Complex
There’s a startup right now in stealth mode. It raised a seed round based on:
- A GPT prompt that returns 10 mental health journaling tips.
- A Midjourney image of a calming app screen.
- A Notion page with “soon to be built” features.
No app.
No prototype.
No team outside the founder.
Just vibes and venture funding.
Why? Because the founder showed “how well GPT understands user intent.”
Apparently, that’s enough to unlock $500K now.
Exhibit B: The Prompt Portfolio Fallacy
Founders now present something called a “Prompt Portfolio.”
It’s a PDF.
Filled with examples like:
- Prompt 1: “Write an SEO article about skincare in the tone of Rihanna.”
- Prompt 2: “Generate a pitch deck for a B2B AI API startup in healthcare.”
- Prompt 3: “Write Python code for a web scraper that also flirts.”
These founders aren’t building the next unicorn.
They’re just mining engagement on LinkedIn with their clever prompts.
And somehow this convinces some early-stage VCs that they’re “AI-native builders.”
Real Value ≠ Prompts
Here’s the inconvenient truth: anyone can copy your prompt.
Real defensibility comes from:
- Data flywheels
- Distribution networks
- Differentiated UX
- Actual usage and iteration
- Moats built on trust, not token count
A good product still requires boring stuff:
- Fixing bugs at midnight
- Talking to users who don’t care about AI
- Writing documentation that no one reads
Prompt screenshots won’t get you product-market fit.
Execution will.
Why VCs Still Fall for It
Because everyone is scared of missing the next OpenAI, Perplexity, or Mistral.
And in FOMO mode, signals get distorted.
The founder has a blue check? Funded.
The deck has GPT-generated graphs? Innovative.
The startup name ends with “AI”? Pre-seed ready.
We’re in the hype loop, not the build cycle.
The Future: Less Prompt, More Product
This phase will pass.
The fluff will filter.
VCs will go back to asking the unsexy questions:
- “How fast can you acquire paying users?”
- “What does retention look like after Day 7?”
- “Can this scale beyond a cool demo?”
And founders will need to show more than screenshots of clever prompts.
They’ll need to prove they can ship, not just generate.
TL;DR
- Prompts ≠ Product
- AI hype ≠ Market traction
- Screenshots ≠ Strategy
In 2025, founders who can use AI to build real businesses – not just cool decks – will be the ones who win.
Until then, enjoy your seed round based on GPT-generated lorem ipsum.
Because the Series A round still asks: “Show me the numbers.”
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