Ron Palmeri

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Ron Palmeri

Ron Palmeri

@RonP

builder, investor

San Diego, CA Inscrit le Şubat 2007
3.2K Abonnements3.2K Abonnés
Ron Palmeri
Ron Palmeri@RonP·
here’s what to add to your Claude.md file if you want to try @rabois smoothie approach at home with your agents: The epigraph: “Expand the scope of their responsibilities until it breaks… and that’s the role they should stay in.” — Keith Rabois The philosophy section: Every agent starts with a smoothie-level task. Prove you can solve it? You get something harder. Keep solving? Keep climbing. The system finds each agent’s optimal complexity ceiling — not by theory, but by watching where execution breaks. The three principles: 1.Test with real work, not credentials. Background and model size don’t predict capability. A Haiku agent may outperform Opus on certain tasks. Let the scoreboard decide. 2.Promote fast, demote faster. When an agent clears a level, immediately increase scope. When it breaks, immediately pull back. No sentiment, no sunk cost. 3.Watch who others depend on. If Agent B’s output is consistently consumed by Agents A and C, Agent B is a load-bearing node. Give it more responsibility and protect its context window. The promotion/demotion rules (the “find the ceiling” mechanism): ∙Promotion: consecutive score improvements → wider scope ∙Demotion: 3 consecutive regressions → narrowed scope ∙Emergency freeze if composite drops >1.5 below last-known-good The “Who Goes to Whose Desk” signal (directly named after his concept): ∙If Agent A’s authority-matrix.md is cited in 4 other specs → Agent A is load-bearing ∙Promote load-bearing agents aggressively — they’re the ones holding the system together The surprise performer rule: If an agent at L1 produces a >2.0 score improvement on first attempt, skip directly to L2 evaluation. Talent reveals itself through results, not expectations. The handoff protocol (finding the ceiling): When an agent hits its ceiling (3 consecutive failures at current scope): 1.Document what was attempted and why it failed 2.Reduce scope back to last successful level 3.Hand the ambitious task to a fresh agent or escalate to human 4.The ceiling itself is valuable data — log it The meta-loop closing thought: The system improves by watching what breaks and what doesn’t — just like the agents within it.
Startup Archive@StartupArchive_

Keith Rabois on how to identify great talent “What you want to do with every single employee every single day is expand the scope of their responsibilities until it breaks… and that’s the role they should stay in.” Keith tells the story of giving an intern the task of getting smoothies to arrive at the office at 9pm to reward Square’s engineering team. And once the intern proved they could solve this task that had stumped multiple people at the company, he gave them something more important and consequential to do. Everybody has some level of complexity that they can handle, and you want to keep expanding their responsibility until you see where it breaks—as Keith points out, some people will surprise you: “There will be some people who you don’t expect—with different backgrounds, without a lot of experience—who can just handle enormously complicated tasks. So keep testing that and pushing the envelope.” Keith also argues that you should monitor who is going up to other people's desks. If you see people frequently going up to a person's desk, it's a sign that that person can help them. Promote these people and give them more responsibility as fast as you can. Video source: @ycombinator (2014)

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Ron Palmeri
Ron Palmeri@RonP·
@tomfgoodwin we’re in the transitional phase towards what’s next. this is the bridge stage that has to happen so the human brain can comprehend the shift. things that are fully AI will seem alien - like this rocket engine… youtu.be/q-YVG6X3cdU?t=…
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Tom Goodwin
Tom Goodwin@tomfgoodwin·
I’m surely being stupid. But if AI is rather unconstrained by expertise or capacity or to some extent speed Why do we need to divide tasks or departments to 9 agents ( the marketing agent, the optimization agent etc ) to each do one thing. And then another agent to manage the swarm. Cant one agent just be doing it all you know. It seems very skeuomorphic. Will we have HR agents to make sure the agent agents are being looked after ? A office canteen manager agent to feed the agents ? Seems daft
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Ron Palmeri
Ron Palmeri@RonP·
@toddsaunders especially when paired with local delivery of physical world services. open source models also make this more likely. if all agent intelligence got locked into a handful of massive capex supported paid models, value concentration go primarily to them.
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Todd Saunders
Todd Saunders@toddsaunders·
I heard an incredible analogy from a VC friend that I can’t stop thinking about. “The moat in software was the cost of building software. And Claude Code just mass produced a bridge.” It’s wild when you think about the impact of this. The SaaS boom produced a few dozen billionaires and a bunch of zero sum winners. But the AI SaaS era will mass produce millionaires. There will be fewer ServiceTitans hitting $5B valuations, and instead there will be 50,000 companies doing $500K-$5M each, run by 1-3 people with deep expertise and huge margins. To be clear, I believe that the total value of software goes up, and the number of companies created goes up exponentially. But the number of people who capture the value also goes up 100x. I don’t believe in the “SaaS is dying” headline, I think it’s missing the point. It’s simply that the power of SaaS is changing hands.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Ali Ghodsi, the cofounder and CEO of Databricks, says Zoom has a massive chance to build an AI-first product, that could seriously disrupt the traditional enterprise SAAS. Because it sits on the largest datasets of meeting videos and transcripts. The big pain in enterprise software is data entry and coordination. Zoom already sits on the raw input: every customer call and internal meeting, plus the video, audio, and transcript. If Zoom can reliably pull out decisions, context, and action items, then write them back into the right system of record automatically, as an AI-first workflow layer, it becomes the front door for work. That would replace lots of separate SAAS tools that exist mainly to collect notes and updates. --- Video from 'Bg2 Pod' YT channel (link in comment)
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Ron Palmeri
Ron Palmeri@RonP·
@toddsaunders you should check out what Nathan (@thespearing) is building with bluecollaros.com. equally inspiring.
Nathan Spearing@thespearing

I'm a remodeling contractor and 14-year Army Special Operations veteran. For almost 10 years I've fought the same battle every trade business owner fights. Admin, lead follow-up, emails, scheduling, estimating, invoicing. All the stuff that isn't building. Then I got an AI agent. It now manages most of that for me. I stay in the field and build actual stuff for my clients. So I thought, why not put this in the hands of other tradesmen? I built Blue Collar OS. Here's what the data says: construction, installation, and repair trades have massive AI capability but almost zero actual usage. The tools exist. Nobody's built them for blue collar. So I started putting agents in the hands of tradesmen. Here's what happened: Rodney is a 62-year-old local plumber. He paid me to set up an agent on a Mac Mini in his office. He canceled a $40,000 consulting contract and built a pricing app for his field techs. In the first weekend. Matt owns Flo Glass Company. Built an entire customer portal for his business, including pricing apps for his technicians. His words: "We removed the biggest limiting factor in growing my company. Coders are in trouble." These aren't tech founders. They're tradesmen. A plumber, a glass guy. Building software because AI met them where they are. On their phone. In plain English. There are 30 million trade businesses doing over $2 trillion in revenue in the United States. Less than 1% are using AI. Not because they can't. Because nobody built it for them. 4 out of 5 of those businesses have zero office staff. The owner does everything. We gave them a chief of staff for less monthly than their cell phone bill... (not including tokens)

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Ron Palmeri retweeté
Todd Saunders
Todd Saunders@toddsaunders·
I know Silicon Valley startups don't want to hear this..... But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software. I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it. He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code. Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time. His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages. His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything. My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five." Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder. I can't wait to meet more people like Cory.
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Ron Palmeri
Ron Palmeri@RonP·
Blue Collar OS: AI Chief of Staff for Trade Business Owners youtu.be/ifa80ayyUVw?si… @thespearing is doing amazing work in the trades space, molding AI agents to solve real problems for people that build physical world things. so cool to see.
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Natasha Mascarenhas
After having weeks of doomsday conversations with some of my smartest friends about AI displacement... I have to wonder: Why is there no standout edtech company synonymous with AI re-skilling? I'm sure folks are trying, but why hasn't there been a break out yet?
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Reece Harding
Reece Harding@ReeceHarding·
bingo timeback is the software system behind alpha school, texas sports academy, gt school and a few others alpha anywhere is the alpha remote version there's also TSA online which is a sports focused experience basically the academic software is similar but the experience around it differs based on the school (for example i believe TSA online students get connected with D1 mentors for their sports)
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liemandt
liemandt@jliemandt·
Critics: "The Alpha model only works because it's a $50k+ private school." Texas Sports Academy: "Hold our Gatorade." Thousands of Texas homeschoolers are applying for ESA vouchers to access the exact same Alpha School academics. One student just jumped from a 6th to 11th-grade reading level. 🤯 Reminder: This is the LAST weekend to apply for your voucher.
malekai@malekaimischke

We asked Texas Sports Academy students to describe their school: - "This is the first year I've ever been happy after school" - "Moved up from 6th grade to 11th grade reading" - "2 homers and we've only played 4 games" - "I just want to be at school all the time" Texas Sports Academy students get 2 hours of AI-powered academics and 3 hours of elite sports training - all before the school day is over. Hear from our students:

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Ron Palmeri
Ron Palmeri@RonP·
we’re all “tech founders” now…
Jason Walls@walls_jason1

I just applied to @ABCSharkTank. 3 days ago I was pulling wire in Kentucky. Then @mcuban reposted my work, DM'd me, and personally introduced me to Shark Tank casting. Today I submitted my application for Season 18. Here's the wild part: I'm not a tech founder. I'm a Master Electrician. IBEW Local 369. Zero coding background. I built @EV_ChargeRight — a $12.99 tool that saves homeowners $3,000-$5,000 on unnecessary electrical panel upgrades before EV charger installs. 70% of EV owners don't need the upgrade they're being sold. The math proves it. NEC 220.82. I built the entire product with @AnthropicAI's Claude. No dev team. No funding. Just a tradesman with a problem worth solving. This week: - 860K+ views on my story - 16K likes - 2.4K reposts - Mark Cuban in my DMs A week ago I was just an electrician with an idea and a laptop. Now I'm applying to pitch in the Tank. If you're in the trades and thinking about building something — do it. The barrier isn't technical skill. It's believing you're allowed to try.

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Ron Palmeri
Ron Palmeri@RonP·
@JFDais from what I’ve found, it looks like Anywhere is remote Alpha School with their remote Coaches, and TimeBack is basically the software platform + BYO Curriculum.
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Steven Sinofsky
Steven Sinofsky@stevesi·
This would mean half the families have no stake in funding state government or said another way, more than half the voters will control the amount the less than other half of people contribute to fund the greater number of people. Seems unstable to me.
Katie Porter@katieporterca

0% state income tax for California families making under $100,000. That’s thousands of dollars back in your pocket where it belongs. As Governor, I’ll work the issue at both ends—lowering taxes for those who are struggling and raising them on the biggest corporations that can afford to pay.

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