The Great ‘Uncoding’ — How AI Is Democratising Software Creation

There’s a phrase that’s been whirring around in my head for a few weeks now. It came to mind soon after the realisation I wrote about in last week’s post. To me, this phrase perfectly describes the shift that’s currently taking place in the tech world. The shift that is enabling non-technical people to create […]
Breaking the ‘Priesthood’ — What AI Is Really Doing to Technology

As I’ve written about before, I got really excited about the possibilities of AI for L&D in the spring and summer of 2024. I rolled up my sleeves and dug in – only to be disappointed. At that point, in my view, the hype was outstripping the reality. So, I dialled the enthusiasm down, took […]
How the Golden Triangle Comes Alive Inside a Performance-Support GPT

A few weeks back, when I first wrote about the triad of tech ‘languages’ (Markdown, JSON and Python) that I’m calling the Golden Triangle, I definitely understood it conceptually. JSON structures data. Markdown provides order and consistency when data and content is output. Python carries out actions. Clear and simple. But as I got deeper […]
Python’s Hidden Ecosystem: The Quiet Force Behind Modern AI

When I started to find out about Python, I’d imagined it would just be another piece in the ‘how to build a custom GPT’ tech jigsaw puzzle. But it’s turned out to be so much more. Aside from understanding what Python does, why it became so popular and the slightly quirky story of its naming […]
Python: The Language That Turns AI Thinking into Action

Like many people, I grew up watching Monty Python sketches and movies. It’s easy to forget that many of the sketches on the weekly TV series were not that funny; but a few were absolute corkers and deserve the adoration they still receive. The origins of Python However, who knew that the deliberately crazy name […]
Inside the Golden Triangle: How Markdown Brings Structure to GPT Output

A couple of weeks ago, I wrote a post about something I’m calling ‘the golden triangle’. This is the combination of three bits of tech that all work together, behind the scenes, to make a custom GPT work more effectively; namely, Markdown, JSON and Python. Last week, I gave JSON ‘the full treatment’ and spent […]
How AI Keeps Its House in Order: A Designer’s View of JSON

A couple of years back, I taught myself some basic JavaScript (JS) so that I could add extra interactivity/functionality to some e-learning courses I was developing in Storyline. I certainly didn’t try to become highly proficient or fluent in JS. Just enough to understand basic concepts and to achieve what was required. My, how the […]
From Rodeo Drive to AI: The Three Languages Every Custom GPT Needs

A recent trip to the US took me to The Golden Triangle. In case you are, wondering, this describes LA’s upscale retail district centred around Rodeo Drive; but so-called because the district is bounded by a triangle of roads (Wilshire, Canon and Santa Monica, for the curious). While I knew about the retail district […]
What Lunch with an AI Mentor Taught Me About Prompt Design

In last week’s post, I wrote about my lunch with AI maestro Scott Schang; and how AI had helped me choose a suitable restaurant for our meet up. I teased about the conversation we’d had and promised to fill in some of the details this week. There’s way too much to go into a single […]
The Lunch That Reopened an AI Door

A few weeks back, an AI mentor of mine landed in London for a few days. I was lucky enough to spend a couple of hours over lunch with Scott Schang, discussing all-things AI; plus a few other interesting topics, too. We went to a great Italian restaurant in the West End called Mortimer House […]