Norm can now read incoming emails, generate a response and attach the files used to generate the email response. Totally crazy what AI will do to the construction industry.
Ben Affleck talking about LLMs honestly blew my mind.
He argues that the industry hypes up fear to distract from the fact that adoption is slow and the technology is getting expensive to scale.
Make sure to save this video
cancelled our corporate @OpenAI account today; We were spending ~ $10k a year
@xai is better for real time data
@Gemini is better for travel, local YouTube
& @claudeai is much better for corporate (Cowork and Project features specifically)
ChatGPT isn’t keeping up imo — and I don’t trust them with my corporate data
Long game, but I think ChatGPT is 4th place now
Getting AI agents working for enterprises is not easy. And this is exactly why there’s so much opportunity right now.
Today, the tech is *just* hard enough to get working right which means only a relatively small number of teams and companies in total will make this simple enough for the world to adopt.
So you basically have a cheat code if you’re building AI agents because we know exactly how this will play out.
The winners of the internet brought powerful web services to the masses. The winners of SaaS did the same for infrastructure and software. The same will be true for AI agents and knowledge work.
Architecture shifts at this level only happen every decade or two. And this will likely be the biggest one we’ve ever seen in tech.
This is the 1997 moment because building AI agents still feel complicated and awkward.
And that's why it's a wonderful time to be building AI agents in 2026.
Holy sh*t.
Gemini can now produce fully interactive images on any topic.
Such an insane resource for learning → highlight any region, and it gives you a full explanation 🤯
To the extent that AI agents for coding are a proxy for what we’ll see when agents come to other fields of knowledge work, then this is a technology whose impact can be most felt by the experts in any particular field.
One surprising thing with AI coding agents is there’s less of a “get off my lawn” dynamic than many other types of technologies and efficiencies in the past.
The best engineers that I know wholeheartedly love AI for coding because they can instantly take advantage of all their expertise to get far more done than they could have before.
Most of the time you spend building something goes into drudgery work. While AI agents don’t solve all of this (yet) they’ve dramatically reduced the mind numbing parts of coding, and allow for vastly more leverage in any project you go after.
And importantly, that expertise is necessary to know how you should guide the agent, jump in when it’s off the rails, incorporate what it produced, and more.
The same will likely be true in almost all other professions over time. Regardless of your expertise in a field, you still do most of the same basic work all the time that doesn’t actually let you flex your skillset. AI lets you skip to the parts that actually matter and have an impact.
The big lesson is skills will matter than ever in the future. You’ll just do different stuff with them.
This is the most fun moment to be a developer in years.
The AI tools are imperfect, the patterns are still emerging, and there's genuine room for experimentation. Roll up your sleeves and build something. The earthquake is further opening up what's possible.
The best news
I ran an experiment using four major AI platforms to estimate the same construction bid set. The results?
A total estimate spread of $678,300, a 147% variance!
This highlights the implications for contractors, owners, and developers who are relying on AI for estimates.
I provided a real construction bid set document (14 sheets, full scope) to:
- Claude Sonnet 4.5
- ChatGPT (GPT-4)
- Gemini Thinking
- Grok Expert
Key takeaways:
- AI can accelerate takeoffs, but it does not eliminate the need for verification. Experienced estimators will be critical in the coming years.
- Utilize AI for speed, but always verify every critical quantity yourself.
- Cross-check outputs from multiple platforms to level the bids like a CM/GC would.
- Never bid based solely on a single AI output without a manual review.
For a complete breakdown, I have detailed:
- Which AI ranked best and the reasons behind it
- The exact prompts I used
- The bid form template
- Areas where each AI failed the coordination test
Full analysis here: open.substack.com/pub/builtbyec/…
The era of American renewal begins with construction.
We have to build—with greater speed, scale, and craftsmanship.
That's what Bobyard unlocks. @JTLonsdale and Bobyard Founder & CEO Michael Ding explain.
The corollary is that because of AI agents, every small business and entrepreneur now has the resources of a Fortune 500 at their disposal.
Technology has always been about producing more abundance and better access to a given resource. We’ve done this with software for decades from mainframe to client-server to cloud. Each of these periods made technology 10-100X more accessible to more businesses.
AI does the same now for all areas of knowledge work.
Why is high end coding only available to a microscopically small set of companies in the world? Why are the vast majority of companies unable to afford great advertising? Why do only a small subset of companies get great legal advice, software security, research, and almost every other domain of knowledge work? AI brings all of these capabilities to companies of all sizes.
The biggest opportunities in AI agents are figuring out what resources have most companies always wanted but never been able to afford or find before.
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