Insights

Insights

Thinking on practical, accountable AI.

Open Source vs Frontier LLMs: It’s All About Choice

October 17, 2026

There is a huge amount of excitement right now around large AI models. Every week new announcements appear about increasingly powerful systems that can write, analyse, code, summarise, and reason in ways that were difficult to imagine only a few years ago. The message is often simple: the latest frontier models are the future, and […]

Simple in Theory, Complex in Practice: Implementing AI the Right Way

October 17, 2026

There is a huge rush right now to adopt AI. Everywhere you look, the message is the same: AI will optimise processes, save time, reduce costs, and unlock innovation. Companies are told they must move fast or risk falling behind competitors who are already using it. And while there is truth in all of that, […]

Keeping up with AI: what LLMs changed for our early tools

October 17, 2026

Anyone working with AI right now knows the feeling. You plan a solution, start building, and by the time it is ready the tools have moved on. What was cutting edge a short while ago can quickly become ordinary, or unnecessary. Our early tools are an honest example of that. The problem we set out […]

Making Integration Feel Easy (and Why It Sometimes Isn’t)

April 12, 2026

Choices In today’s digital landscape, businesses are surrounded by tools that promise simplicity. Platforms like n8n, Zapier, Microsoft Power Apps, Make, and Workato have transformed what’s possible without deep technical expertise — and that’s only scratching the surface. There are a lot of tools out there. On the surface, integration has never been easier. But […]

AI in the Workplace: Replacement, Assistance, or Something In Between?

March 18, 2026

There is a lot of noise around AI and jobs. Some people talk as if large language models are about to replace huge parts of the workforce overnight. Others dismiss the whole thing as overhyped software that will never move beyond novelty. Both positions tend to miss something important: the evidence matters more than the […]

Can AI Achieve True Consciousness Through Biological Integration or Quantum Computing?

August 6, 2025

In the whirlwind of AI advancements, 2025 has seen a massive surge in discussions about superintelligence. Mark Zuckerberg recently declared that “superintelligence is now in sight,” with Meta launching a dedicated AI lab to pursue it. Similarly, projects like OpenAI’s Stargate initiative and China’s rapid catch-up in AI models highlight how close we might be […]

Do We Need Consciousness for AI to Be a Threat?

February 15, 2025

In the ever-evolving landscape of artificial intelligence, one question looms large: do we need consciousness for AI to be a threat? This thought-provoking inquiry invites us to delve deep into the potential risks and implications of AI, even in the absence of consciousness. The Threat of Non-Conscious AI Assuming AI is not conscious, could it […]

AGI and Predictive Algorithmic Limitations: A Reality Check

January 4, 2025

Alright folks! Let’s have a real, no-nonsense chat about AI. It’s done some pretty impressive things, and it keeps bringing value across industries. But let’s not get too carried away—AGI (Artificial General Intelligence), the kind of AI that can do anything a human can, is still more of a dream than a reality. While some […]

Where AI Assistants Go Wrong: What You Need to Know

December 2, 2024

Hey there! Let’s talk about AI assistants. They’re popping up everywhere—from websites to social media and even at work. These little helpers are great for when you need information fast. And while we’re talking about those small widget assistants, imagine them as full-on voice chat assistants, answering calls and chatting away. But what makes an […]

AI Cutting Through the Hype: Understanding the Reality Behind the Buzz

October 30, 2024

In recent years, Artificial Intelligence (AI) has become a buzzword, with many fearing that it might take over the world. However, the reality is far from this dystopian vision. AI, particularly Large Language Models (LLMs), are procedural tools that excel in specific tasks but are not the omnipotent entities some might imagine. Understanding LLMs: Emulation […]