
Helping others grow better 💫 Head of Platform @Circleapp | ex-HubSpot | AI, BJJ black belt, surfer, yogi, hiker, photographer, pugs. Join the book club 👇🏼
San Diego, CA
Joined January 2012
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What I dislike more than AI Slop is what I call "AI Foam".
It's when generally smart, insightful people send you something that is clearly AI generated and lacks their usual sharp insight or point of view.
AI slop is easy to ignore because it's often just random people posting random stuff online -- often as content or comments.
AI foam is more insidious because these are people you *know* and respect and you know they're capable of critical thinking and clear communication.
I call it AI Foam because it lacks shape and substance.
Luke Summerfield retweeted
This is the way.
I'm now building an "improvements" feature into all of my personal vibecoded applications: a freeform text input that's hooked up to an agent that yolo implements whatever is submitted.
It's an interesting experience -- the activation energy barrier to sanding any rough edge or implementing any new feature becomes extremely low. Someone else who uses one of the applications I created has already implemented 150 improvements over the course of a few days. This pattern feels like a new kind of tool -- liquid software? -- and every application that doesn't have this feature now has a slightly rigid and anachronistic flavor. Why can't I just tell it how I want it to be different?
Now, it's not obvious to me how this pattern can or should scale. Does it become unmaintainable after a while? (Maybe model intelligence improvement outstrips my feature appetite such that it's fine?) How does collaborative software work in this model? Can software designed this way be secure and reliable?
Whatever the larger questions about broader deployment, it definitely works great in a personal context. It reminds me a little of the visions of Lisp/Lisp machines, Smalltalk, and HyperCard -- systems that the user can take control of and modify. Those visions never quite worked, though: the vast majority of software today is not end-user modifiable in any useful way. So, while this "liquid" affordance is a very small touch, the way it changes one's relation to the software feels a bit transgressive and empowering in a Lickliderian and Engelbartian way.
There’s 100% a kind of mania you can get into with coding agents, where it feels like you’re getting a lot done and working all the time but nothing is really happening.
I think it's often a form of avoidance of something else in life.
Luke Summerfield retweeted
You can now track ad conversions from Meta and GA4 to see which of your ads actually turn into revenue.
Luke Summerfield retweeted
Customers don't want AI features.
They want the product to just know them.
That's the bar now ⚡️
nitter.cf/saranormous/status/211…
Luke Summerfield retweeted
Great conversation @alexeheath
Tobi Lütke on the AI agent revolution and future of Shopify
@tobi on where agent commerce is headed, sci-fi becoming reality, and his GPU wine cellar.
Why did Amazon block Meta's Muse but Shopify welcomed it? I sit down with Tobi in Toronto to discuss why the companies are taking different approaches to agents and how shopping changes when AI starts buying things on your behalf.
He explains the early AI shopping behavior he’s seeing. We also get into why he thinks AI makes starting a business easier, the backlash against the technology, and why everyone will eventually have to embrace it to get ahead in their careers.
We get into how AI agents will make money, who pays when they handle a purchase, and why advertising gets complicated when your assistant is supposed to work for you. We discuss his experience on Meta’s board and working with Mark Zuckerberg.
Lütke also shares why he turned his wine cellar into a GPU server rack and how he uses his personal AI agent that runs entirely from his house.
This is one of my favorite pods I've ever done.
Timestamps:
00:00 Amazon blocks Muse
02:40 Shopify's approach to AI agents
07:00 How AI agents will change shopping
11:05 Sci-fi and tech optimism
17:57 Zero-sum thinking vs. abundance
21:20 AI backlash and the founder advantage
45:28 Building an AI-first Shopify
52:18 Who profits from agentic commerce?
01:03:22 How Shopify stays ahead
01:10:39 Advertising and discovery in the agent era
01:16:02 Rack, Cellar, and Claw
Links:
Spotify: open.spotify.com/episode/71x…
Substack: sourcesnews.substack.com/p/t…
YouTube: youtu.be/r9SHzCW9zxo
Apple Podcasts: sources.news/p/tobi-lutke-sh…
This episode's presenting sponsor is @hyperagentapp
Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury
Good watch 👇🏼👇🏼
An 86-minute guide to finding product-market fit
Rob Snyder (@RobSnyder1) is the author of The Power of Pull, has helped over 50 startups go from zero to $1M+ ARR, and is the most requested guest by my podcast listeners.
We discuss:
🔸 The PULL framework for finding a customer who’s "weird not to buy"
🔸 Where the best startup ideas come from
🔸 The cold outreach message that gets calls
🔸 How to run your first sales call (and why he skips design partners)
🔸 The "Hail Mary" question and "goblin mode"
Listen now 👇
youtu.be/19qrLchbQEc
Luke Summerfield retweeted
“AI is going to make dumb people dumber and smart people smarter.”
- @thedankoe
🎙️🎙️
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Buckle up and make sure your security is tight
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
Luke Summerfield retweeted
BREAKING:
@AnthropicAI just launched Duet, its always-on personal agent. It’s the first personal agent I’d call a pro tool.
We’ve been testing it for two weeks. I’ve gone from mostly using ChatGPT to roughly 50/50 between ChatGPT and Claude—the most time I’ve spent with Anthropic in close to a year.
• It lives in its own app, separate from Claude, on iOS, Android, and the web. This makes it feel clean and easy to understand.
• It has channels for specific areas of your work and life rather than just a single chat
• It has a todo list so you never lose what you’re working on and you can always see statuses
• It allows you to easily write and edit documents, slides, and more all through the app.
• It’s not a chief of staff yet. It can see the Claude sessions on my computers but can’t direct them. Its email drafts are worse than dot’s, and voice is transcription only—you can’t have a spoken conversation with it.
My verdict: the vibes are good, and I’m opening Duet every day. It’s worth trying.
Check out our agent comparison page: every.to/personal-agents-com…
Full Vibe Check coming soon on @every
Luke Summerfield retweeted
super important honest advice to founders. if you are working on a dead end, get out. you don’t owe that to anyone, including investors (who regularly forgive and experience failure, and ideally care more about you doing your life’s work than a subpar outcome)
Foursquare was acquired last month. The outcome was disappointing. It's taken me a while to write this, but I think I'm finally done grieving it. Here are some thoughts on our final years, an effort to honor the team who helped build & maintain FSQ's legacy, and my attempt to finally get some closure. teendrama.substack.com/p/som…
I’m thrilled to join @circleapp as Head of Platform! 🎉🎉🎉
@circleapp is the leading AI-native platform for creators, coaches, and SMEs to grow transformational business through community, courses, events, and more. With customers like Obama Foundation, Tim Ferriss, Creator Science, Harvard, Lovable, and Exit Five, it’s clear the team has built something special. ✨
I’ve admired Circle’s mission, product, and pace of innovation since its launch in 2020. I’m excited to help customers make Circle their own through customizations, integrations, agents, MCP, and more. 🤖
👉🏼 If you’re a builder and this sparks your interest, send me a DM. We’d love to collaborate, and we’re hiring!
Let's go! 👏🏼👏🏼👏🏼
Luke Summerfield retweeted
a big take I've been noodling on and I’m ready to call:
the newsletter is dead
@every's core business is a newsletter with 120k+ subscribers so I don't say this lightly.
persistent agents mean i dont look at my inbox
with dots (GrokBots, Muse, etc) I almost never look at my inbox. if I do it's for a specific thing I need to reply to.
i think in a year I'll be doing all of my email this way - fully filtered by my dot / something like it.
this is not new: it's a continuation of the trend of having a “newsletter” folder in Gmail, but 10x more filtered.
what it means
It doesn’t mean people won't read newsletters, but it does mean that getting a person’s email is no longer the guarantee that you have a relationship with them that it used to.
luckily, with persistent agents (and AI coding more generally) there is an entirely new playing field to build relationships with readers. instead of fighting to get an email address, publishers and creators will need to make sure we're installed in our reader's agent harness of choice, so that they get directly notified when we do something new.
we're already starting to experiment with this @every with our MCP and the frontier alerts we send users of our slack agent (every.to/agent)
it's also more affordable than ever for publishers and creators to build their own platform ecosystem: you can have your own website, app etc. and you can use AI to publish 100x more high-quality stuff to your community—so we may see a world where many creators themselves are running their own little empires that have their own apps, feeds etc.
to be clear: It'll take a while before this actually happens, but the idea of getting someone's email creating a direct relationship with them is over.
here's a set of predictions I made 3 years ago about AI and media that panned out pretty well: every.to/chain-of-thought/we…
Luke Summerfield retweeted
Hi, I'm Felix. I'm an eng lead working on Claude. I love watching people take flight and do things they never thought possible.
We often describe that as "being more ambitious" when using AI, which is tricky advice to follow. I wrote a tutorial:
felixrieseberg.com/how-to-be…
Luke Summerfield retweeted
My biggest takeaways from @JoshWoodward (Head of @Google Labs, the Gemini App, and Google AI Studio)
1. The best ideas almost never come from a design sprint or brainstorm. At Google Labs, the ideas that became NotebookLM, Google Flow, Google Beam, and AI Studio all started with small groups of people who were obsessed with an insight and couldn’t stop themselves from building. These ideas surfaced in the shower, over a weekend, in a hallway. The implication for teams everywhere is that the environment matters more than the process. “You cannot microwave a good idea.”
2. Fall in love with the problem, not the product. Most ideas require three, four, or five significant pivots before they either find traction or get shut down. Teams that get hooked on a specific solution will struggle to make those pivots. Teams that are attached to the problem—the underlying pain point or the user behavior they are trying to shift—can keep adjusting until they get it right.
3. When looking for early PMF, data and retention are important, but the strongest signal of PMF is in people’s eyes. Do they light up? Do they lean in? When you show someone a prototype and they’re genuinely engaged, you feel it. When NotebookLM’s first AI podcast demo was played in a hallway, the reaction was immediate and unmistakable.
4. Keep a list of what is “almost possible,” and move fast when something crosses over. Google Labs keeps a live list of experiences that are almost possible. When something crosses the threshold, Josh describes it as “a phase shift,” like solid to gas, and the team moves immediately. Maintain a running list of things that are almost ready, and have a team positioned to sprint when one of them arrives.
5. Every company needs to think like a labs team now. The underlying technology is changing so fast that what’s possible is shifting from week to week. Which means that every company needs to be spending time playing with the latest models, running far-out experiments, and being first to discover what they unlock before the competition does—and then bringing those discoveries to the rest of the org.
6. When something is not working, the team almost always knows before the leader does. Josh’s instinct as a leader is not to be the one who decides to shut down a project. He watches instead for the passion running out, for the sense that the team has tried everything and nothing is working. His goal is to create an environment where people feel safe enough to say, “I don’t think this is working.”
7. Someone’s “unlearning rate” is one of the most valuable skills right now. Everyone talks about growth mindset and learning speed. Josh is watching for something different: How quickly can someone take an insight, validate or invalidate it through testing, and then let it go? The ability to walk away from a prior belief or approach when the evidence says you should is rare and becoming more valuable.
8. Roles are not blurring into one universal “builder” role. There is a tendency in the current moment to talk as though everyone is becoming a generalist builder. Josh thinks this would be a bad idea. The best people on his teams still have a primary specialty—a major—and also a “minor” they’ve developed. The advice he gives to early-career PMs who are excited about vibe coding and prototyping is clear: build adjacent skills in service of becoming an exceptional PM, not as a replacement for it.
9. A well-designed lab needs isolation, a clear mission, and the ability to create “good trouble.” Three things matter when setting up an internal labs team. First, it needs structural independence, reporting far enough from existing business units that weird ideas can survive long enough to prove themselves. Second, the lab’s mandate has to be explicit: are you graduating ideas to existing products, or inventing new categories? Clarity on that question changes almost every decision. Third, the lab should be a place to challenge how the company itself works, not just what it builds. At Google Labs, that included piloting new job ladders and builder roles before rolling them out more broadly.
10. Google Labs manages the marathon-sprint tension through seasons. At any given time, roughly 20 to 30 experiments are running in parallel, but individual teams experience a defined rhythm: sprints, post-launch recovery, and open exploration periods. After Google I/O each year, many labs teams enter a mode that looks unproductive from the outside: no shipping, just hacking, building, and discovering. Josh treats this as the seedbed for the next season.
Every company needs to think and operate like a labs team now.
What’s possible changes every few months, and to stay ahead, you need to be experimenting at the frontier.
Here's my conversation with @JoshWoodward, Head of @GoogleLabs, the @GeminiApp, and @GoogleAIStudio.
We discuss:
🔸 What skills are rising fastest in value right now
🔸 Where the best ideas actually come from
🔸 How to recognize PMF early
🔸 Why you should keep a list of what’s ‘almost possible’
🔸 Three rules for standing up an internal labs team
Listen now 👇
youtu.be/3I6QYkccd3o
Luke Summerfield retweeted
Agree.
As tech moats diminish, human ones increase. CEO integrity is an under-appreciated moat. In the short term, being the smartest can attract the best talent. In the long term, being someone ppl trust will sustain it 👇
* @luke10ferrari (Bending Spoons) gets the first call from companies who want to sell. He has the reputation of telling the truth+never omitting what someone should here (a value learned the hard way by cheating on his partner in his 20s and feeling so ashamed)
* @alighodsi describes this as never being conflict averse
Many more examples here - would love to hear yours...
h/t Long Strange trip pod @bhalligan


























