Notes from the seam between AI models and the workflows they get bolted onto. Mostly manufacturing and healthcare. Mostly what breaks in the second month, after the demo is over.
In my last post, I explored the critical role of context management in getting the best results from AI. Today, I want to share two real-world examples that highlight a simple but powerful technique you can start using immediately.
Context Engineering: The $100K Skill You're Not Mastering (And How It's Costing You) You’ve heard about prompt engineering. Now, meet its powerful successor: Context Engineering (CE).
In my last article, “What if GenAI could give MedTech professionals back tens of thousands of hours a year?”, I shared how my experience programming with coding agents. In this follow up, I wanted to share how I approached writing an advanced RAG solution to help MedTech professionals to efficiently
That’s not a hypothetical—it’s a real possibility I’ve been exploring as I build GenAI-powered solutions for regulatory documentation in MedTech and BioTech. MedTech and BioTech are governed by regulators like the FDA, EMA, PMDA, ANVISA, and IMDRF.
I’ve taken up coding as a hobby recently. The last time I wrote code was before C#, GitHub, containers and development pipelines.
Samsung has announced plans to transition all its manufacturing operations to AI-driven factories by 2030. This initiative will involve the deployment of digital twins and specialized AI agents to enhance quality, production, and logistics processes. The move signifies a major step towards industrial transformation and automation within the manufacturing sector.
Johnson & Johnson MedTech is introducing Velys Hip Navigation, a software-as-a-medical-device (SaMD) product that utilizes AI assistance to enhance hip surgeries. The software aims to improve surgical outcomes and efficiency, as discussed by DePuy Synthes' President of Global Digital, Robotics Surgery, and Customer Solutions. This development highlights the integration of AI in MedTech to advance surgical procedures.
Abbott has received a CE mark for its innovative dual glucose-ketone sensor, marking a significant advancement in MedTech. This development positions Abbott ahead of competitors who are also working on similar technologies, enhancing diabetes management and patient care.
Ōura is planning to introduce a blood pressure monitoring feature in its wellness tool, following a recent FDA policy change. This development is part of a broader effort to enhance health monitoring capabilities, with a specific focus on detecting hypertension. The feature is currently under study and will seek FDA approval.
Cornerstone Robotics has received the CE mark certification for its surgical robot, enabling its entry into the European market. This milestone follows a significant $200 million funding round aimed at supporting the company's global expansion efforts.
Better agent control using hierarchical agent.md/claude.md file structure:
DSPy's BootstrapFewShot optimizer can learn from user feedback to improve prompts automatically - no manual prompt engineering needed.
MedTech advisor in Chicago. Most of my work sits at theseam between AI models and the workflows they were bolted onto — manufacturing operations, regulatory and compliance, supply chain, and the long tail of things that quietly break in the second month after a pilot ships.
The coding here is so I understand the boring half of generative AI well enough to advise on it. I work on agentic systems, eval harnesses, and the integration plumbing that decides whether a pilot survives past the demo. When the model is the easy part, I'm interested in the rest.
When I'm not coding or advising, I'm in the kitchen, in the workshop, or behind a camera lens.