Product Mgr & Agentic Engineer | Zero-to-One Builder | $1M to $1B Problems Plumbing company owner | Building software that matters. To God be the glory.
Joined June 2011
- Tweets13.8K
- Following556
- Followers2.3K
- Likes21.7K
Pinned Tweet
I’m a plumbing company owner and I’m using Grok @bot to automate a ton of office manager work. Here’s what I’ve done in the last 24 hours:
Hosts profited off of the cleaning fee for years
Hosts were stupid with what they wanted done
It’s about time Airbnb fixed this for the paying consumer
its just bonkers the new policy @airbnb is trying to put in place. Putting the dishes in the dishwasher, taking out the trash, pulling the sheets off the bed....they are just standard things any normal person would do when staying at a house. Why wouldn't a host be allowed to say that?
Three years ago, right as ChatGPT landed, I left tech to try to save a plumbing company I'd invested in from going under. It's stable now, so I'm going back. I just took a product manager role at a homebuilder.
The biggest thing plumbing taught me about product: nobody is stopping anyone from buying a van, some tools, and paying Angie's $500 a month for leads. Almost nobody does it because the work is hard and most people don't want to do it. That's the whole edge in construction.
Software is ending up in the same place. Everyone thinks code was the bottleneck and AI removed it. It never really was. You still have to think deeply to build something people will pay for.
The bar is low in construction companies.
Does anyone have a trick for streamlining how to get your apps approval for reading and writing to Gmail and Google Calendar?
Founders, if you want someone to grow your business from $180,000 a year to $6 million a year of revenue, you probably need to pay them more than $24,000 a year.
🚨I’m hiring for Maxed AI🚨
I don’t even have a role in mind. And I don’t even care about your background.
I just want someone as obsessed as me. Someone that wants to be in the “belly of the beast” of scaling Maxed AI from $15k/mo to $500k/mo.
AGENCY is what I’m looking for. Pay is anywhere from $500-$2000/mo to start. And I’ll give you whatever budget you ask for.
1-10% equity can be earned as well.
DMs OPEN
Sometimes it feels like I’m living in the future
At 9pm on a Sunday at a wedding I have 15 unbooked jobs sitting in my inbox
Monday I have 0 plumbing jobs booked as of right now
And since my office manager took Friday and this Monday off I hadn’t had a chance to do any scheduling
I totally spaced making time for this on Saturday - my fault entirely
So I messaged my muse to text my customers and book jobs for us
We have 3 jobs scheduled for 8am
In the morning I’ll give my muse the rest to handle
I went back to dancing at the wedding with my daughter and my wife and son
My agent is working
And I’m living my life with my family
Happy Sunday yall
The vast impact of AI on the average person won’t become crystal clear for 10 more years when we look backwards
Hang on tightly early adopters
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Fire this guy and his whole team its embarrassing at this point
Google use to be something
Today at Google Cloud’s Gemini at Work event, we announced Gemini, a new single universal agent for work that has all of your business context and can be used for everything from knowledge work to answering questions, and content creation to coding, all from a single prompt box.
It’s built around core architectural principles:
☑️ Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box.
☑️Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface.
☑️Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it.
☑️Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity
☑️Context: Gemini knows your tools, data, and work history and learns how you work the more you use it.
☑️Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.
When @karpathy mentioned making videos for claude to teach you things
And then the design team literally turned into one of the best full-blown features released by @claudeai.
Today I went back to try Claude Code and test out the Opus 5.5 and Sonnet 5.5 and Haiku 5.5 coding quality longtime Horizon work skill
I was also testing:
- Opus as the orchestrator
- Haiku as the worker
I have had Haiku running for almost 5 hours, and I think it's probably used literally like 5 or 10% of my weekly usage. The code quality is actually great for the simple, but many tedious tasks I needed done on my dev instance.
However, here is my complaint. Ever since I have switched to using personal agents like grok @bot or @Muse , the secret store functionality of that system compared to something like a chat interface or having to mess with environment variables in claude code is night and day.
And even then I could barely get my claude code to deploy my app from production from cloudflare, even after giving it an API key and every connector possible.
The ease of doing real work with very little setup time for personal agents has changed the game for me forever and I don't think I will ever go back to only ever using a chat or LLM ever again.
Additionally, a traditional coding harness like Claude Code or Codex is just not proactive and solution-oriented. They are just dummy waiters that take commands from a human and do the work and tell you when they get stuck, whereas my agents have masterfully executed on projects and problems, and they don't come to me unless they are truly blocked or they complete the work.
I hate submitting apps and projects through Google Oauth for review
Every time I’ve done it it’s a pain
Curse you console-cloud-google
Finally after 4 years microsoft is relevant to the consumer in the ai space
Today marks a new chapter for Windows, as we bring unmetered intelligence to every desk and every home, and make every PC a place where agents can work securely on your behalf.
Some highlights of what we announced:
• MAI-Code-1.1 Flash: 137B parameter coding model w/ 256K context window, which is now optimized to run on your PC!
• GitHub Copilot now hands off work to local models like MAI-Code-1.1 Flash, helping projects cost a lot less without sacrificing quality.
• With Hybrid Intelligence, Copilot can now take action directly on the PC and keep sensitive work on your device.
• And with Code in Copilot, you can essentially build any software you need on your desktop, without any cloud token spend, and it’s just super at it. You’re no longer limited to what’s in an app store! Your PC becomes an infinite software factory.
• Security is foundational to all this, which is why we are also bringing together Windows and Agent 365 so agents can work within secure boundaries on-device, including MXC a local sandbox for agent execution. Windows becomes your secure agent box!
• All this comes to life on a new generation of devices, like Surface Laptop Ultra, powered by NVIDIA RTX Spark.
Can’t wait to see what you build with all this.
Hark is what OpenAI dots should have been.
They rushed an agent product that diednt fit their brand.
Tried copying grok @bot and they don't have the branding to do that
Hark looks and works great too
This is a good example of how not to release a product to your market anymore. In the world of AI, we all want to see what it can do for us. I don't care about people dancing on a screen, this tells me nothing.
