Choosing a replacement tree shouldn’t feel like a major life decision—but when the City of Ottawa offered us eight different species to replace our 50-foot Blue Spruce, that’s exactly what it became.
Each option came with its own trade-offs: growth rate, root spread, shade coverage, maintenance needs, resilience to pests, and how it would fit our streetscape over the next 30–50 years. It wasn’t a question of “right” or “wrong,” but rather “what works best for us?” That’s where I decided to bring in an unusual helper: AI—not as an expert, but as a decision support friend.
Instead of asking AI for “the best tree,” I used it as a thinking partner. I had it lay out pros and cons for each species, compare them based on our priorities (shade, low maintenance, longevity), and even highlight considerations we hadn’t thought of—like how certain roots might affect sidewalks or how climate resilience might matter more over time. It didn’t make the decision for us, but it made the decision clearer.
What struck me most was how well AI handled the kind of everyday complexity we all face. These aren’t business problems or technical challenges—they’re household decisions, the kind that usually live in the back of our minds and get resolved with a bit of guesswork. AI helped turn a vague, slightly overwhelming choice into a structured, thoughtful process.
In the end, the value wasn’t just in choosing a tree. It was in having a calm, informed “second brain” to talk things through—one that doesn’t get tired, doesn’t rush, and is always ready to explore “what if” scenarios. Whether it’s landscaping, travel planning, or even organizing a family event, I’m starting to see AI less as a tool and more as a practical companion for everyday decision-making.
Who knew that replacing a tree would also plant a new idea?
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