Joined July 2009
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Chris Fargis retweeted
Jun 12
CFO watching employees use Fable to write their emails
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Chris Fargis retweeted
Jun 8
ok so i've spent years thinking about what it takes for execs to AI-pill their teams. a few thoughts on where i think leaders should start:
đź’» Technical Readiness
1. Stop chasing incremental velocity; you can 2-3x PRs if you try (h/t @darraghcurran)
2. Make it easy for jr engineers to onboard. your agents will thank you.
3. Increase investment in platform teams (devx ftw)
4. Focus on verification loops, not prompt engineering - we love a /goal
5. Speed up core feedback loops (lints, tests, etc.)
6. Figure out how to bypass human code review for some PRs
7. Do extreme eng experiments (delete your IDE! h/t @chintanturakhia)
8. Ensure your team can experiment w models, harnesses, etc.
🤝 Operating Model
9. Put AI workflows into buckets: automate / augment / ignore / kill
10. Turn your best AI user's flows into a system- i think @JJEnglert is good at this
11. Give agents actual jobs, not tasks
12. Get non-engineers committing code to production - use @DevinAI if you need a place to start
13. Measure tokens (it works, sorry not sorry)
14. But have a controlling quality measure
15. Question every process built to protect scarce engineering time
16. No pure managers
17. Create new team topologies (v small! very large! v flat!) @GammaApp and @thisisgrantlee @thatsjonsense do this well
🥳 Culture
18. Require leaders to build something with AI and demo it publicly
19. empathaize: your team fears looking incompetent without AI AND replaceable with it
20. Measure AI fluency quantitatively (I have a survey for this)
21. Name AI champions and reward them like @doshkim
22. Learn how to hire for AI proficiency
23. Don't be a CEO that delegates understanding AI to someone else
24. Create informal and formal reward systems
25. Have fun (my mantra)
Sound good but need help? join 100s of CTOs, VPs of Eng, Product, and Design learning how to do this for real during our 2 day @MavenHQ workshop.
25% off till midnight tonight! → maven.com/clairevo/ai-native…
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Game 7. Saturday. We're locked in and feeling generous.
Follow us, tag 3 friends, and sign up for OG
We're dropping $50 credits into 10 followers' accounts.
10 winners drawn Sunday at 10 AM.
Every new OG gets a sign up bonus.
Link in comments
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Chris Fargis retweeted
May 27
Looking for a product marketing crusher to help grow @Gambly. Specifically:
- Product launch hype content
- Short-form video
- Social media
- Email marketing
- AI-focused SEO
Should be highly creative, self-directed, AI-native, and passionate about sports betting.
Not looking for someone corporate; you should move fast and figure out what works, helping to bring products to market, position them, and drive ongoing adoption.
If interested, shoot me a DM explaining why you'd be the person to hire. Strong preference to those with knowledge of Gambly and how we could improve.
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Chris Fargis retweeted
May 24
Levie’s Law of AI Psychosis:
The farther away you are from the actual work the more confident you are that humans are no longer needed
I like it
May 24
CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI.
So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents.
“Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues.
“Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with.
The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.
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Chris Fargis retweeted
City leaders are on the front lines of mitigating homeland threats as the Iran war drags on, argues IGA senior advisor Leigh O'Neill in @Newsweek.
newsweek.com/gaps-in-homelan…
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May 22
May 22
Sometimes people outside the field say things like “The AI situation can’t be that bad, there must be experts who are on top of it”. As “an expert”, I would like to be clear that we are *not* on top of it. Some key aspects of the situation IMO:
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Chris Fargis retweeted
Apr 29
I said I would write this article like 2.5 years ago and then got a little busy. It's finished:
"The Lazy Man's Guide to Actually Getting in Shape: How to Turn Health Into a Game You Can Actually Win"
luckymaverick.substack.com/p…
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May 20
Just tried to text someone about the town pool membership, and my @WisprFlow sent them "Polymarket membership"
@DustinGouker effect, more and more each day
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May 17
this morning i bought two more mac minis and spent three hours in the lab building a new agent.
it has one job: to stop me from engaging with these @mattkalish threads.
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Chris Fargis retweeted
May 12
I’m looking for a CPA who specializes in trading entity structure, section 1256 tax treatment, and multi-state pass-through taxation for our prediction market operation. DM me know if you know anyone good who you can connect me with.
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Chris Fargis retweeted
May 12
Launch Week Day 2: the Consensus Research Agent.
Consensus can now complete complex research tasks through multi-step tool calls.
One prompt in. A full research workflow out.
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May 11
🚀 🚀
May 11
Today, we're announcing $30M in new funding to build the AI OS for Research.
2.5M researchers start their work with Consensus every month. Their work is the foundation that all progress is built upon.
We could tell you our story. We'd rather they did👇
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May 9
1/ Okay, everyone listen up.
I’ve seen this narrative raised several times this week as some of the OSB operators have been talking about market making in prediction markets.
Let me explain what people are missing. 🧵
If DraftKings is that good then why do they have to limit bettors?
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May 9
4/ Market makers in prediction markets have to quote into an open marketplace where any participant can come in and take your offer for whatever size you have posted.
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May 9
5/ That framework requires different approaches to sizing, availability, and risk management than running an OSB book. OSB trading teams will need to adjust as they pivot into market making in predictions. But customer-specific OSB limits are not evidence of poor trading quality.
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