Brandon Donnelly
Daily insights for city builders. Published since 2013 by Toronto-based real estate developer Brandon Donnelly.
Brandon Donnelly
Daily insights for city builders. Published since 2013 by Toronto-based real estate developer Brandon Donnelly.
This week, our team toured a new 9-storey mass timber residential building going up at 230 Royal York Road in Toronto. The developers are Windmill Developments and Leader Lane Developments. The construction manager is Oben Build. The mass timber company is Vancouver-based Intelligent City. And when it's completed, it is expected to be the tallest residential building in Toronto. But I suspect it won't hold this title for very long. Building out of wood is destined to become a major part of how we build in this city and country. So here are a bunch of photos from the site walk. I tried to include as many detail shots as possible so that you can all get a sense of how it pieces together.










A few weeks ago I accidentally sparked, via this tweet, an entertaining debate about what it takes to be called a developer. This led to my post "Do you even develop, bro?", where I explained my view on when it might be appropriate. (Spoiler: It's a broad term.) But my friend Brendan Whitsitt of Imprint Development has just published an even better post on the topic. It's called "Developer vs. Dirt-Flipper" and you should give it a read.
In it, he says this:
So if we tried to sketch a Platonic ideal for what a developer is, we might say that the ideal developer would have a solid understanding of, and experience in, all phases of development, including construction. This person will have a holistic perspective that attempts to optimize across all phases of a project rather than just one part.
This doesn't relate directly to the debate of who should be called a developer, but I think it's an insightful comment. Developers have very specific skillsets, but they also tend to be generalists. Our job is to stitch together lots of different disciplines and elements to ultimately produce a space that people can live, work, play, and/or do other things inside. The more you know about the entire process, the better you can be at any one part.
I even think this transcends just the development process. The more you know and understand about cities, market trends, human behavior and countless other things, the more thoughtful you can be about formulating new developments. It's never ending and it makes for an interesting line of work. But I do think this raises the question of: When is it valuable to specialize?

Bond — which is a San Francisco-based VC firm with a cool website — just published this 340-page report on Artificial Intelligence. One of the authors of the report is Mary Meeker. She has been called the "Queen of the Internet" thanks to a 20-year run of presentations about the state of the internet, and her perceived ability to identity new trends early. So people are paying attention to this report. Her last one was in 2019 and I mentioned her 2018 report on this blog, here.
At this point, it's boring to say that AI is ushering in "unprecedented" global change. Everyone sends around snippets from ChatGPT. I incorporate some sort of AI-powered tool all the time in my daily workflow. And we've started using it on our development projects to help with tedious things like design coordination. Eventually we'll probably stop calling it out as "AI" and just refer to it as the things that computers and the internet can do.

This week, our team toured a new 9-storey mass timber residential building going up at 230 Royal York Road in Toronto. The developers are Windmill Developments and Leader Lane Developments. The construction manager is Oben Build. The mass timber company is Vancouver-based Intelligent City. And when it's completed, it is expected to be the tallest residential building in Toronto. But I suspect it won't hold this title for very long. Building out of wood is destined to become a major part of how we build in this city and country. So here are a bunch of photos from the site walk. I tried to include as many detail shots as possible so that you can all get a sense of how it pieces together.










A few weeks ago I accidentally sparked, via this tweet, an entertaining debate about what it takes to be called a developer. This led to my post "Do you even develop, bro?", where I explained my view on when it might be appropriate. (Spoiler: It's a broad term.) But my friend Brendan Whitsitt of Imprint Development has just published an even better post on the topic. It's called "Developer vs. Dirt-Flipper" and you should give it a read.
In it, he says this:
So if we tried to sketch a Platonic ideal for what a developer is, we might say that the ideal developer would have a solid understanding of, and experience in, all phases of development, including construction. This person will have a holistic perspective that attempts to optimize across all phases of a project rather than just one part.
This doesn't relate directly to the debate of who should be called a developer, but I think it's an insightful comment. Developers have very specific skillsets, but they also tend to be generalists. Our job is to stitch together lots of different disciplines and elements to ultimately produce a space that people can live, work, play, and/or do other things inside. The more you know about the entire process, the better you can be at any one part.
I even think this transcends just the development process. The more you know and understand about cities, market trends, human behavior and countless other things, the more thoughtful you can be about formulating new developments. It's never ending and it makes for an interesting line of work. But I do think this raises the question of: When is it valuable to specialize?

Bond — which is a San Francisco-based VC firm with a cool website — just published this 340-page report on Artificial Intelligence. One of the authors of the report is Mary Meeker. She has been called the "Queen of the Internet" thanks to a 20-year run of presentations about the state of the internet, and her perceived ability to identity new trends early. So people are paying attention to this report. Her last one was in 2019 and I mentioned her 2018 report on this blog, here.
At this point, it's boring to say that AI is ushering in "unprecedented" global change. Everyone sends around snippets from ChatGPT. I incorporate some sort of AI-powered tool all the time in my daily workflow. And we've started using it on our development projects to help with tedious things like design coordination. Eventually we'll probably stop calling it out as "AI" and just refer to it as the things that computers and the internet can do.

For example, some development companies like to follow a division of labor model. One team focuses on acquiring new sites, one team focuses on approvals/entitlements, and so on. Once a particular phase is completed, the project gets passed on to the next group. And in theory, these specialist teams should be able to go deeper and harder than a team forced to spread their time.
But on the flip side, it means that the person trying to buy sites might not be thinking about what a pain in the ass it will be to build on. They may just be trying to get deals done. Let the other team worry about building the thing. So personally, I've always liked the accountability that comes with taking a project from beginning to end — it's never somebody else's problem. It's your problem.
Of course, even if you don't do this, you're still a developer.
Cover photo by Max Langelott on Unsplash
But I think it's valuable to point out that this has been a really long time coming. The report talks about an "AI winter" from 1967 to 1996. That's a long time to stay motivated and interested in something that doesn't seem to be gaining traction. And it's a reminder that crypto is still early. Even though I also use blockchains every day and I've already transitioned (or am transitioning) a lot of my online life, including this blog.

Of particular relevance to this community is probably the fact that AI is also going to have a meaningful impact on our built environment. One of the sections in the report is called "Physical World AI," and it talks about how quickly data centers are now being built (compared to housing) and how Waymo (using AI) has taken something like 27% of the ride share market in San Francisco in the span of just 20 months.

This transportation product is now scaling, and cities have always responded and remade themselves according to new mobility innovations. This time won't be any different.
Cover photo by Annie Spratt on Unsplash
For example, some development companies like to follow a division of labor model. One team focuses on acquiring new sites, one team focuses on approvals/entitlements, and so on. Once a particular phase is completed, the project gets passed on to the next group. And in theory, these specialist teams should be able to go deeper and harder than a team forced to spread their time.
But on the flip side, it means that the person trying to buy sites might not be thinking about what a pain in the ass it will be to build on. They may just be trying to get deals done. Let the other team worry about building the thing. So personally, I've always liked the accountability that comes with taking a project from beginning to end — it's never somebody else's problem. It's your problem.
Of course, even if you don't do this, you're still a developer.
Cover photo by Max Langelott on Unsplash
But I think it's valuable to point out that this has been a really long time coming. The report talks about an "AI winter" from 1967 to 1996. That's a long time to stay motivated and interested in something that doesn't seem to be gaining traction. And it's a reminder that crypto is still early. Even though I also use blockchains every day and I've already transitioned (or am transitioning) a lot of my online life, including this blog.

Of particular relevance to this community is probably the fact that AI is also going to have a meaningful impact on our built environment. One of the sections in the report is called "Physical World AI," and it talks about how quickly data centers are now being built (compared to housing) and how Waymo (using AI) has taken something like 27% of the ride share market in San Francisco in the span of just 20 months.

This transportation product is now scaling, and cities have always responded and remade themselves according to new mobility innovations. This time won't be any different.
Cover photo by Annie Spratt on Unsplash
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