Sigurd Tveit has been running since he was a teenager, working his way up through local races in Trondheim and gradually building the kind of aerobic base that takes years to develop properly. Like a lot of runners at his level, he spent a long time managing his training the old-fashioned way — a notebook, a rough weekly plan in his head, and a gut feeling about when to push and when to pull back.
It worked, up to a point. But as his training got more structured and the sessions started stacking up, he found that keeping track of everything in a notebook wasn't really cutting it anymore.
The problem with planning in your head
“I used to plan my training in a notebook,” Sigurd says. “It was fine when I was doing less, but once you start doing two sessions a day sometimes, or you're trying to track how your body is responding to different training blocks, it gets messy fast. I'd look back at a week and not really understand why I felt good or bad.”
That lack of visibility is something a lot of self-coached runners run into. You know you've been training hard, but you can't easily see the shape of your training — the load, the intensity distribution, the relationship between how you felt on a given day and what you did the days before.
Moving to SessionsAI
Sigurd started using SessionsAI after a few friends in the Trondheim running community recommended it. The first thing that clicked for him was how straightforward the session logging is. You log a session, give it a name, add your distance and duration, rate the effort, and write a short note if you want to. It takes two minutes and you end up with a proper record of the workout.
But the part he didn't expect to find as useful was the AI training assistant. After a few weeks of logged sessions, he started asking it questions — things like “why do my threshold runs feel harder on Thursdays than Tuesdays?” or “am I doing too much intensity relative to my easy volume?”
“SessionsAI gives me the same flexibility as a notebook but with actual insights into how my body responds to different training blocks,” he says. “It can see patterns in my data that I'd never spot myself just by flicking back through old entries.”
Planning that adapts
One of the things Sigurd values most is being able to plan ahead without being rigidly committed to a plan. He uses SessionsAI to lay out two or three weeks of training at a time, but if he has a rough night's sleep or his legs are feeling flat, he can drag sessions around in the calendar, swap days, or ask the AI to suggest adjustments based on how he's been feeling.
For a self-coached runner, that kind of flexibility is genuinely valuable. It's the difference between following a plan blindly and actually managing your training intelligently.
The bigger picture
Sigurd is still based in Trondheim, still running roads and trails around the city, and still learning what his body responds to best. What's changed is that he now has a clear record of everything he's done and a tool that helps him make sense of it.
“I feel like I actually understand my training now,” he says. “Not just what I did, but why certain things worked and certain things didn't. That's been the biggest shift.”