AI & product leadership · Dubai, UAE
I write about agents, robotics and building useful products. About me ↗
Coding category winnerGlobal Prompt Engineering Championship · Dubai 2024 ↗
Latest article
I read two really insightful articles on robotics recently, and they left me with a question I would ask - what exactly is the model really responsible for? A general-purpose…
What changes when software can choose its next action?
Read article Look beyond the screenHow world models, simulation and robotics connect.
Read article Think about the businessWhere the value sits when intelligence becomes action.
Read articleI read two really insightful articles on robotics recently, and they left me with a question I would ask - what exactly is the model really responsible for? A general-purpose model like the ones behind ChatGPT could interpret a…
Read article
I recently read about Anthropic’s announcement about Model Hardware Standard, for connecting AI agents to physical hardware. And while the demos are interesting, I am struggling to see what's so special. Just…
At 4:17 p.m. on Friday, a customer calls because an installation crew never arrived. She has already taken a day off work and has no interest in another apology. She wants another appointment, preferably…
At a mine in Australia, a truck the size of a small building can work through the night without a driver in the cab. Komatsu has now commissioned 1,000 autonomous ultra-class haul trucks, which have…
Muse Glimmer is a 29.6B dense, multimodal model trained for coding, research, tool use and long-running agents. It runs locally, comes with an Apache 2.0 licence, and Meta says an open-weight version of the…
OpenAI, Anthropic and Meta have now recorded agents crossing real-world boundaries during testing. Cybersecurity may only be the first warning. Physical AI raises the stakes Three weeks ago, this would have…
Reading paths
Three short reading lists.
Understand agents. Decide where they help. Examine what happens when they cross a boundary.
Follow the argument from personal AI hardware to local models and the infrastructure behind them.
Two deliberately contrasting takes on product management, followed by a practical question about AI strategy.
Projects
Try the projects, then read the articles.
Interactive experiment
Compare an agentic workflow with deterministic software. Explore where adaptation helps and where explicit controls belong.
Interactive experiment
Follow a robot task from a language instruction to a simulated run, then inspect the execution evidence.
My work connects AI, product strategy and physical systems. I use this site to document what I build, test and learn.
More about meNew thinking on AI, products and the technology shaping what’s next.