Transform your organisation with AI that works now.
AI is transforming engineering, but most advice is generic or hype-driven. If you are a CTO, engineering manager, or technical founder, you need more than buzzwords. You need proven, technical solutions that deliver value for your team and your business. You need it now, not in some distant future.
I have spent years as a founder and CTO, building and leading technical teams, shipping production AI systems, and helping others do the same. My approach is direct, technical, and tailored to the realities of engineering leadership. I work with technical leaders who want to:
- Upskill their teams in practical AI
- Build and deploy robust AI agents and tools
- Accelerate delivery and reduce wasted effort
- Create a culture of innovation and technical excellence
Get started by answering a few questions:
For Technical Leaders and Builder Teams
If you lead an engineering team or organisation, or are a technical founder, you are my focus. My content, workshops, and tools are designed for those who want to deliver AI results fast, without the fluff. I work with:
- CTOs and engineering managers who want to upskill their teams
- Technical founders and startup teams looking for a competitive edge
- Senior engineers who want to build and deploy AI agents that work in production
You get practical, actionable guidance and hands-on support. I prioritise technical depth and real-world results, not generic advice. My network is full of technical leaders who trust me to deliver value, and I am here to help you do the same for your team.
If you are a technical founder or early-stage team, you will find the same depth and practical help here. The tools and content I create are for technical builders at any scale.
If you are a product or digital executive, you are welcome! I will be sharing more for non-technical leaders in the future.
Services for Technical Teams
1. AI Workshops & Training
Custom, hands-on sessions for your engineering team. Go beyond theory: learn how to build, evaluate, and deploy AI agents and LLM-powered features in your real codebase. Sessions are tailored to your stack and your business needs. Example topics:
- Building robust LLM applications (with evals, monitoring, and safety)
- Integrating AI agents into existing products
- Best practices for developer productivity with AI tools
- Code reviews and architecture sessions focused on AI/ML
2. AI Agent & Tooling Prototyping
Get a working prototype, not just a slide deck. I work alongside your team to design, build, and ship AI-powered features or internal tools. You get:
- Rapid proof-of-concept builds (weeks, not months)
- Technical documentation and handover
- Guidance on scaling from prototype to production
3. Technical AI Audits & Roadmaps
A focused, technical review of your current systems and opportunities for AI. I identify quick wins, technical risks, and a clear path to value. Deliverables include:
- Code and architecture review (with actionable recommendations)
- Prioritised roadmap for AI adoption
- Concrete next steps for your team
4. Ongoing Technical Advisory & Coaching
Retainer-based support for technical leaders who want a trusted expert on call. I provide:
- Regular check-ins and ad hoc support
- Review of AI/ML initiatives and vendor choices
- Help with hiring, upskilling, and team structure for AI
How I Work
Every engagement is tailored. I start with a strategy call to understand your team, your codebase, and your goals. I do not waste time on generic frameworks or endless slides. You get direct, technical advice and hands-on help, focused on what will move the needle for your team.
If you want to see how I work, join a webinar or request a code review. If you are ready to move fast, we can start prototyping together within days. Fill in 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 a technical AI audit. This is a focused engagement where I pinpoint the areas where AI can deliver the most value for your team, 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 engineering practice.
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 engineering teams deliver much more with vastly fewer resources, built LLM features that shipped to production, and enabled technical founders to scale their impact. My approach is always practical, technical, and focused on results.
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 moreUnlocking Real Leverage with AI Delegation
Starting to delegate to AI feels awkward. It is a lot like hiring your first contractor: you know there is leverage on the other side, but the first steps are messy and uncertain. The myth of the perfect plan holds many people back, but the reality is you just need to begin.
The payoff is real, but the start is always a little rough.
Here is how I do it.
Read moreHow I Make Complex AI Changes
Most technical leaders know the pain. You get partway into an ambitious AI project, then hit a wall. You are not sure how to start, or you get so far and then stall out, lost in the noise of options and half-finished experiments.
Recently I tackled this head on. I did this live, in front of an audience. I used a framework that finally made the difference.
The challenge: could I take a complex change, break it down, and actually finish it, live on stream? My answer: yes, with the right approach. Here is exactly how I did it.
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. ↩
See the Archive for more articles.