Master Generative AI for Project Delivery

Anyone reading the excellent Project Flux newsletter, or listening to their

podcast, is probably well aware that AI is ‘a big deal’. Of the sort that occurs

rarely. As a ‘General Purpose Technology’ AI is up there with the combustion

engine, electricity, and the Internet itself as a transformational, pervasive

technology. Not one that acts as a point solution but that has the capability

to rewire exactly how the world works. And therein lies the problem.

We are not tuned for true disruption. Mostly we live in a linear world, where

things change over time and on a continuum. Pushed hard we live in a six

sigma world, where we improve processes by reducing defects, minimising

variation, and increasing quality and efficiency. Things are broadly

predictable. Do X get Y.

In the AI mediated world we are headed into, as with the introduction of

previous general purpose technologies, life is not going to be linear. In many

ways these times are more destructive than merely disruptive. What used to

work no longer does, and what was true no longer is. With the advent of

these new technological powers we simply do not have to, need to, do

things as they’ve been done before. But this often comes in the form of no

longer being able to do what was done before - because that’s not the way

things are anymore. Our map has been torn up.

So how should one deal with this?

I think we all need to develop a heightened degree of situational awareness.

This is ‘the ability to identify, understand, and predict the potential impact of

factors and events in your environment, in order to make informed

decisions.’ With our real estate hats on this equates to understanding market

dynamics, comprehending structural shifts, and projecting forward the

implications of these. For our individual job, our teams, our departments, our

companies and ultimately the entire industry.

But what does building this situational awareness look like in practice? It's

not just about reading headlines. It requires a foundational understanding of

the core technologies, hands-on experience with frontier tools to separate

hype from reality, and a strategic framework for applying these capabilities toreconfigure workflows and, ultimately, reimagine business models. For

professionals in an industry as tangible as real estate, this means translating

abstract concepts into concrete use cases.

That is precisely the gap I’ve been working to close: translating this need for

heightened situational awareness into practical tools and strategies for CRE

professionals. Because without understanding where this is headed, we risk

being the world's finest saddle makers as the Model T rolls past.

Below is an overview of what we cover.

The course is focussed on understanding how Generative AI can be utilised

across the board within the real estate industry today. Participants will finish

the course aware of the Generative AI landscape, how to use the leading,

frontier tools and why they need to lean in to these new technologies. They

will also become part of the course’s alumni network of innovators in real

estate.

The course runs for three weeks. In each we have a collection of modules of

online content (including 5+ Case Studies), a selection of which we cover in

detail in a live 2 hour session each Friday.

Week 1: Master the tools.

In the first week we focus on what Generative AI actually is, the results of a

major BCG/Wharton study into the impact of Generative AI on knowledge

work, and a deep dive into 20+ advanced ‘Prompting’ techniques, all with

CRE relevant use cases. And incorporating the latest ChatGPT-5 advances.

Week 2: Reconfigure work.

In week two we look at a recent study into how teams can best use

Generative AI, and how we are moving from multi-modal language models to

a world of natural language computing. Then we address ‘Task Automation’

and how all real estate jobs are likely to be reconfigured. We finish with trying

out two of the best text to image applications, Midjourney and Google’s

Nano Banana, aka Gemini 2.5 Flash.

Week 3: Reimagine real estate. In week three, we look at how AI will impact the nature of, and demand for physical real estate, and provide a detailed ‘8 Step Framework for AI

Adoption’ within real estate companies. Then we look at ‘Agents, Agents,

Agents’ - advanced productivity applications using ChatGPT; how to build

Custom GPTs and use Projects and Agent Mode.

So we zoom out, to get a macro view of the implications of AI and the

direction of travel, and zoom in for practical guidance on maximising the

potential of what exists today. Given that the latest research shows that only

single digit percentages of ‘knowledge workers’ use AI as part of their daily

workflows, and the large majority have never used reasoning models, you

can guarantee you will be leagues ahead of most of your peers by the

course’s end.

Cohort 14 begins on 7 November. To join a community pioneering AI

adoption in real estate, visit antonyslumbers.com/course, and I’d be glad to

give you a personal tour of the site.