Level up your AI agents.
You have built an AI agent. The demos are great. But it is costing you too much, and you never quite know when it is going to let you down, or do something you could be sued for.
I have built and shipped AI agents to production and have now created three separate home-grown agent evaluation systems, each one better than the last. I have used all that learning to create a platform to make AI agents more reliable.
I can help you improve your AI agent’s reliability, scalability and cost-efficiency.
Fill in this form and I’ll email you straight back:
Introducing 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 moreBuilding the Future
Something has been on my mind for months. The rapid evolution of AI agents has opened up possibilities I cannot ignore.
We are witnessing the emergence of semi autonomous agents that will fundamentally reshape how we work and communicate. The opportunities in this space are extraordinary. I am diving deeper into this world of AI agent development and product creation.
My newsletter is evolving. Instead of dispensing tips from a position of authority, I invite you on a journey of discovery. I will document my experiences building with AI, how to apply my tech experience in a new world, and navigating the inevitable struggles and setbacks.
Read on for several key areas I am exploring.
Read moreThe Reality of AI Power Usage
AI power usage generates significant controversy. Headlines paint it as an environmental catastrophe waiting to happen. The reality proves more nuanced and potentially more optimistic than these dire warnings suggest.
A ChatGPT query uses 10 times more energy than a Google search. This sounds alarming until one realises it equates to running your hairdryer for six seconds. The entire data centre industry, including all AI operations, accounts for just 1.5% of global electricity consumption.
Here is a rundown of the more pressing issues with AI power usage.
Read moreAI Therapists: Self Reflection With AI
“I am not ready for this conversation.” We all know that feeling. The endless mental rehearsal. The anxiety building with each imagined scenario.
But what if I told you that AI could be your practice partner for both difficult conversations and deeper self-reflection?
Coding with AI: How To Do It Well And What This Means
I am shipping AI-first production code every day. Not experimental features. Not throwaway prototypes. Real, deployed, mission-critical code powering Cherrypick’s tens of thousands of users.
Social media overflows with “vibe coding” demonstrations. These flashy but superficial examples show AI apparently conjuring perfect code in seconds. The reality of professional AI-assisted development runs much deeper. Real production work with AI is messier, more nuanced, and demands rigorous thinking, but very effective.
This is not about magical code generation. It is about a new way of thinking about development. It requires substantial real-world development experience to do well: the onus is upon those of us with this experience to teach the next generation how to harness these tools effectively.
This is how I am doing it, what it all might mean, and how we can help others find the way.
Read moreSee the Archive for more articles.