AI’s Getting Context

There’s a quiet shift happening in AI right now.

Not just better tools — smarter context.

GitHub just launched Copilot Spaces, and even though it’s made for developers, the real story applies way beyond code.

Here’s what it does:
Instead of dropping questions into a blank chatbot, you’re working inside a live workspace.
It knows your files, your notes, your history — and lets the AI respond with real awareness of what you're building.

Now think about this in restoration:

What happens when an AI can:

• Walk into a job folder and instantly see the sequence of events

• Answer questions like “Where’s the moisture report from day one?” or “What did we promise in the initial scope?”

• Write homeowner updates or adjust estimates based on everything in the file — without you repeating yourself

That’s where it’s going.

We’re already seeing pieces of this with tools like Google’s NotebookLM (now public), and the first wave of agent-based systems that don’t just answer questions — they handle work across your files.

This isn’t chatbot territory anymore.
It’s intelligent project memory.

And for an industry that runs on documentation, back-and-forths, and tracking a million moving parts — this is the real unlock.

Start paying attention to where context is headed.
Because once AI sees your whole job, it stops being a toy — and starts being a teammate.

— Dave