How has technology changed your job?
If you’d asked me a few years ago what coaching swimming looked like, I’d have said: stopwatch, whiteboard, instinct, and experience. Computer at home with annual plans and session plans. That was the craft. And it still is, at its core.
But now? Technology—particularly AI—has fundamentally reshaped how I coach. Not by replacing me, but by amplifying everything I do.
From Seasonal Guesswork to Precision Planning
One of the biggest shifts has been in annual and macro planning.
I now map out the season with far greater clarity, aligning training blocks to competition demands, physiological development, and athlete readiness. Using structured calendars and planning tools, I can see exactly how a swimmer progresses from September aerobic work to championship taper.
That long-term structure used to live partly in my head. Now it’s explicit, dynamic, and constantly refined. I can connect a Tuesday night session in October directly to a race in May—and justify every metre in between.
Even something as detailed as training zones is no longer just theoretical knowledge. I actively apply models of aerobic capacity, threshold, and lactate tolerance to ensure sessions hit the intended physiological targets .
Designing Better Sessions, Faster
Session planning has become sharper and more purposeful.
Take a typical P2 session: I’m designing sets that deliberately target A2 aerobic development, pacing discipline, and skills under fatigue—not just “a hard set” but a clearly defined outcome.
AI helps me:
Generate variations of sets aligned to specific energy systems for three different squads – and all six squads and Masters when I cover for others.
Check progression across a week or cycle.
Balance volume, intensity, and skill focus.
Monitor attendance at training and galas and prepare reports for the coaching team and parents.
What used to take hours of manual thought I can now iterate quickly—and more importantly, improve. I’m not starting from scratch each time; I’m refining a system. I record how sessions pan out and feed these back to archive and reference.
Individualisation at a Completely New Level
Where technology has really transformed my coaching is in individual athlete work.
I can now build detailed profiles of swimmers that go far beyond times. Using structured frameworks like the Person → Athlete → Performer model, I’m looking at:
Behaviour and mindset
Physical and technical development
Race execution under pressure
For example, when analysing a 200 IM swimmer, I’m identifying:
Aerobic gaps in distance freestyle Opportunities to convert near-miss qualifying times and behavioural patterns like consistency and training habits
AI helps me synthesise all of that into clear, actionable priorities.
It’s like having an assistant coach who can process everything instantly—yet the decisions remain mine.
Solving Problems More Effectively
Coaching is constant problem-solving.
Why is a swimmer plateauing?
Why are they dropping stroke length under fatigue?
Why are they missing race execution?
Why does that swimmer keep developing a painful shoulder?
What does the latest test set mean for every swimmer? Individualised to them.
Previously, those answers relied heavily on experience, a calculator and reflection alone. Now, I can interrogate those problems more deeply:
Compare training data against expected adaptations
Generate hypotheses quickly Explore alternative approaches
Even reflections—like when a session doesn’t quite land—become more useful. I can analyse what happened, adjust communication, or redesign sets with more clarity.
Race Planning and Performance Detail
Race planning has also evolved massively.
Instead of vague instructions like “go out strong” or “build the back end,” I now create detailed race models:
Split targets Stroke-specific cues Tactical intentions
For a swimmer, that might look like:
Controlled fly → build back → precision breast → aggressive free Exact split expectations across each 50
This level of detail transforms how swimmers understand performance—and how consistently they can execute it .
Supporting Younger Swimmers More Effectively
Technology hasn’t just helped with top swimmers—it’s arguably even more impactful with younger athletes.
For 10–12-year-olds, I can design structured progression plans where:
Every session has a clear objective Skills are reinforced consistently Confidence is deliberately built
For example, an 18-session gala preparation plan ensures that every swimmer understands starts, turns, and race skills—not just fitness .
That level of consistency is hard to maintain without support. AI helps me stay disciplined in my own coaching.
Becoming a Better Learner Myself
Perhaps the most important change is how technology has affected me as a coach.
I’m no longer limited to what I already know.
Alongside formal learning through the Institute of Swimming, I’m constantly:
Exploring new coaching ideas
Testing different physiological models
Reflecting on my own behaviours and decisions
The expectation now is continuous development. The Optimal Coach Development Framework reinforces that—coaches must be students of the sport, always evolving, always refining .
AI accelerates that process. It challenges my thinking, fills gaps, and sharpens my approach.
The Balance: Technology + Coaching Instinct
Despite all this, one thing hasn’t changed.
Coaching is still about people.
It’s about:
Reading a swimmer on poolside
Knowing when to push and when to hold back Building trust and belief
Technology doesn’t replace that. It enhances it.
The best way I can describe it is this:
AI gives me better questions, better structures, and better options.
But the coaching—the judgement, the relationships, the environment—that’s still human.
And always will be.
If anything, technology hasn’t made coaching easier.
It’s made it better—and raised the standard of what “good coaching” looks like.
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