How AI-pilled are you?
Curious how AI-fluent your organization is?
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Christoph Janz

How AI-pilled are you? - Curious how AI-fluent your organization is?

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The P9 AI Fluency Index gives you an explainable grade in ~12 minutes, along with clear recommendations on how to reach the next level. Based on benchmarks from some of the most forward-thinking companies like Ramp, Fin, Shopify, Zapier and Jobber.

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Christoph Janz
Maker
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One of the big challenges for many founders right now is to get their organization "fully AI-pilled". We've created this framework to give startup founders and CEOs a tool that helps them benchmark their company's AI fluency.
Lakshminath Reddy Dondeti
Very interesting. Is there a point at which it’s too much and you get negative points?
Anusuya Bhuyan
The gap between companies that think they are AI fluent and companies that actually are is probably wider than anyone wants to admit. Does it benchmark against industry or just give you an internal score? 
Christoph Janz
Maker

@anusuya_bhuyan For now it's only an internal score. If we manage to collect enough data over time we could indeed show benchmarks vs peers!

Nika

Love the concept + not talking about the interactive website with a jumping pill! :D

André J

I'm curiouse: Where did thhis AI-pilled word come from? I often see it in people looking for devs these days.

Christoph Janz
Maker
@conduit_design I think it comes from a) The Matrix and possibly b) Richard Sutton’s bitter lesson.
André J

@chrija Alright. I investigated. here is what I found: https://gist.github.com/eonist/43464f909b92c26170a6a3435e2bb308 TL;DR — where "AI-pilled" comes from:

1. "-pilled" traces back to The Matrix (1999) — Neo's red pill = waking up to reality. Online communities turned it into a suffix meaning "converted to" something.

2. "AI-pilled" = a converted believer: someone who's gone all-in on AI tooling and sees it as genuinely transformative.

3. Recruiters use it to signal they want devs who natively build with LLMs/agents — not skeptics or casual users.

4. Richard Sutton's bitter lesson isn't the etymology, but it fuels the conviction behind getting AI-pilled (scale + compute keep winning).

Jim Jeffers

This is a useful framing because “AI fluency” tends to get reduced to tool adoption, when the real question is whether an org has changed its operating habits.

The part I’d be especially interested in benchmarking is where AI enters the judgment loop: are people using it only for speed/output, or also for critique, synthesis, decision prep, and preserving institutional context?

The teams that seem furthest ahead are not necessarily the ones generating the most content or automations. They’re the ones with clearer norms around what AI should never decide, what humans must review, and how good work gets evaluated after the model helps.

edan tusi

on the "too much AI" question - probably when you're replacing human judgment entirely instead of augmenting it

Özgür S

I think this is a good product to push the teams up to a new level. But is a sudden boost or sudden change really a good thing is debatable. I believe in small incremental changes. Because every company has its own parameters. When you change something(even an improvement) it comes with some drawbacks. To move forward you learn how to handle those drawbacks as well. It is like an evolution of an organism. But when you give a sudden boost with the help of AI (just like a black box that you dont know the inside) you may not be really ready to handle all the drawback that comes with it.

Elian Bazan

The benchmark companies (Ramp, Fin, Shopify, Zapier, Jobber) are all tech-native and heavy AI users. Curious how "fluency" is defined for orgs that aren't already in that lane. Does the bar shift based on industry, or is it a flat measure?

Natalia Iankovych

Cool, but there are too few questions for a proper test.

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