Transform your organisation: hype-free AI that works now.
AI is changing everything, but there’s a lot of misinformation out there. If you are worried about being left behind, you are not alone. Most businesses know they need to move fast, but often don’t know where to begin or what’s hype versus what actually works now.
I work with founders and business leaders who want to cut through the noise and harness the real power of AI to transform their business, not just bolt on another tool.
I am a founder and CTO who has figured out what’s hype and what works now. I’ve transformed my own businesses with AI, and can help you do the same.
As a founder myself, I have implemented these ideas at my own companies, with a transformative effect. I have kept companies operating with smaller teams, delivered product features powered by the latest AI models, coded internal tools to increase productivity, and built a steady stream of social media content in under an hour a week, all by using AI in ways that make a real difference.
AI is not just about automation. It’s not just about fewer staff. It is about freeing your team to focus on what matters, delivering more value to your customers, delivering more projects with the same team, and staying ahead of the competition.
The right approach can help you:
- Speed up coding and product development
- Analyse products and deliver LLM-powered features that benefit end customers
- Reduce costs and do more with less
- Build a culture that embraces change and innovation
Every business is different. Some need new tools, some need upskilling, some need a complete rethink of how they work. My approach is always tailored to what you need. Whether that means introducing AI-powered assistants, redesigning workflows, or building custom tools from scratch using hard-won technical expertise.
Take a couple of minutes to answer a few questions to get started:
What happens next?
The first step is a free strategy call. I will listen to your challenges, help you clarify what you want to achieve, and show you where AI can make a real difference. No jargon. No hard sell. Just practical advice and a clear next step.
If it makes sense, I will suggest an AI audit. This is a focused engagement where I pinpoint the areas where AI can deliver the most value for you, highlight quick wins, and map out what a transformation could look like. You will get a clear, actionable plan in a matter of days to take the first steps to transforming your business.
You can then take this plan forward yourself or have me help you implement it.
If you already know what you want, I offer fixed term coaching or retainers so you have expert support when you need it.
Real results
I have helped a business continue operations with a much smaller team by using AI wisely. I have delivered product-focused LLM features that made a real difference for end customers. I have built my own personal brand with AI, without spending more time. I get practical, lasting results, not just hype.
Latest AI articles
The Huge List of AI Tools: What's Actually Worth Using in May 2025?
There are way too many AI tools out there now. Every week brings another dozen “revolutionary” AI products promising to transform how you work. It’s overwhelming trying to figure out what’s actually useful versus what’s just hype.
So I’ve put together this major comparison of all the major AI tools as of May 2025. No fluff, no marketing speak - just a straightforward look at what each tool actually does and who it’s best for. Whether you’re looking for coding help, content creation, or just want to chat with an AI, this should help you cut through the noise and find what you need.
Read moreBuilding AI Cheatsheet Generator Live: Lessons from a Four-Hour Stream
I built an entire AI-powered app live, in front of an audience, in just four hours. Did I finish it? Not quite. Did I learn a huge amount? Absolutely. Here is what happened, what I learned, and why I will do it again.
The challenge was simple: could I build and launch a working AI cheatsheet generator, live on stream, using AI first coding and Kaijo1 as my main tool?
Answer: almost! By the end of the session, the app could create editable AI cheatsheets, but it was not yet deployed. A few minutes of post-stream fixes later, it was live for everyone to try. (Next time, I will check deployment on every commit!)
Try the app here: aicheatsheetgenerator.com
AI: The New Dawn of Software Craft
AI is not the death knell for the software crafting movement. With the right architectural constraints, it might just be the catalyst for its rebirth.
The idea that AI could enable a new era of software quality and pride in craft is not as far-fetched as it sounds. I have seen the debate shift from fear of replacement to excitement about new possibilities. The industry is at a crossroads, and the choices we make now will define the next generation of software.
But there is a real danger: most AI coding assistants today do not embody the best practices of our craft. They generate code at speed, but almost never write tests unless explicitly told to. This is not a minor oversight. It is a fundamental flaw that risks undermining the very quality and maintainability we seek. If we do not demand better, we risk letting AI amplify our worst habits rather than our best.
This is the moment to ask whether AI will force us to rediscover what software crafting1 truly means in the AI age.
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I use the term “software craft” to refer to the software craftsmanship movement that emerged from the Agile Manifesto and was formalised in the Software Craftsmanship Manifesto of 2009. The movement emphasises well-crafted software, steady value delivery, professional community, and productive partnerships. I prefer the terms “crafting” and “craft” to avoid gender assumptions. ↩
Why Graph RAG is the Future
Standard RAG is like reading a book one sentence at a time, out of order. We need something new.
When you read a book, you do not jump randomly between paragraphs, hoping to piece together the story. Yet that is exactly what traditional Retrieval-Augmented Generation (RAG) systems do with your data. This approach is fundamentally broken if you care about real understanding.
Most RAG systems take your documents and chop them into tiny, isolated chunks. Each chunk lives in its own bubble. When you ask a question, the system retrieves a handful of these fragments and expects the AI to make sense of them. The result is a disconnected, context-poor answer that often misses the bigger picture.
This is like trying to understand a novel by reading a few random sentences from different chapters. You might get a sense of the topic, but you will never grasp the full story or the relationships between ideas.
Real understanding requires more than just finding relevant information. It demands context and the ability to see how pieces of knowledge relate to each other. This is where standard RAG falls short. It treats knowledge as a stack of random pages, not as a coherent whole.
Time for a totally new approach.
Read moreIntroducing Kaijo: AI functions that just work
For months, I have wrestled with a problem that has consumed my thoughts and challenged everything I know about software development.
This week I wrote about building the future with AI agents. One of the key areas for me is moving beyond prompt engineering to something more reliable.
I have spent decades learning how to craft reliable software. Now I want to bring that reliability to AI development.
Today I am ready to share what I have been building in the background.
It started with a game. It ended with something that could change how we build AI applications forever.
Read moreSee the Archive for more articles.