This wasn’t supposed to happen.
A few weeks ago, all I wanted was a better CV.
After many years in software development, testing, quality engineering and organisational assessments, my CV had become what many long careers become: a chronological list of projects, responsibilities and technologies. Accurate enough, but not particularly insightful.
So I asked an AI to review it.
I expected editorial assistance. Better wording. Better structure. Perhaps a few suggestions on what to remove or emphasise.
Instead, something rather unexpected happened.
The conversation moved from my CV to my LinkedIn profile. From there, it became a discussion about recurring themes in my career and what seemed to distinguish me from others with similar backgrounds.
Then came a SWOT analysis.
Then conversations about positioning and professional identity.
Then questions about what kind of work I genuinely enjoy, where I add the most value and, perhaps more importantly, where I don’t.
Somewhere along the way I realised we were no longer talking about my CV at all.
We were talking about me.
Or more specifically, about the story my career told when viewed as a whole rather than as a sequence of individual jobs.
The discussion became increasingly reflective.
If I have another decade or so left in my professional career, how do I actually want to spend it?
What do I want to be known for?
What kind of problems do I most enjoy solving?
Where can I contribute something that isn’t simply another pair of experienced hands?
What surprised me most wasn’t that AI could rewrite sentences or suggest bullet points.
It was that it could synthesise years of information, recognise patterns across them and offer perspectives that I hadn’t previously articulated myself. Sometimes it asked excellent questions. Sometimes it challenged my assumptions. Sometimes it proposed interpretations that immediately resonated.
Not every suggestion was right.
Many weren’t.
But enough of them were insightful that they changed the direction of the conversation.
And, in a very real sense, they changed the direction of my thinking.
Eventually, the discussion turned into ideas for articles. Then themes. Then potential series of posts. And eventually, almost without noticing it, I found myself planning a blog.
That’s why you’re reading this.
This won’t be a blog about AI, although AI will undoubtedly appear from time to time.
It’s a blog about software delivery, quality engineering, organisational assessments and continuous improvement. It’s about understanding complex systems, identifying patterns and helping organisations become better at building software.
Ironically, that’s also what happened to me.
An exercise that started with improving a CV became an assessment of something much larger: my own experience, strengths, motivations and direction.
It also left me with a hypothesis that I suspect will appear repeatedly in future posts.
The most interesting outcomes don’t necessarily come from humans or AI working in isolation.
They come from the interaction between the two.
I started the conversation expecting editorial assistance.
I ended it with a clearer understanding of my own career and a completely new set of ideas about where to take it next.
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