AI agents that act rather than answer: autonomous workflows, multi-agent systems and what happens when software starts doing the work itself.
11 articles
In one month, Visa, Mastercard, Robinhood and Coinbase all shipped rails that let an AI agent spend, trade and settle money with no human present. Finance spent thirty years proving a human was there at payment, and just pivoted to proving a robot is authorised. Healthcare faces the identical pattern, and should demand a written mandate before handing any agent the wallet.
Most hospitals bought a single monolithic medical AI assistant. The architecture that actually holds up is a team of small, specialised agents reading from one shared, auditable database. The lesson from thirty years on the work floor: the win isn't raw intelligence, it's discipline you can audit.
You opened the terminal windows to delegate. Two hours later your brain was fried; not from doing the work, but from overseeing it. The conductor problem reframes AI orchestration as a new cognitive job that arrived quietly alongside the tools, with nobody asking whether the human at the centre had the bandwidth for it. The healthcare parallel is uncomfortable: clinicians managing AI-assisted diagnostics face the same position, with higher stakes.
Healthcare AI has been stuck in automation mode, speeding up existing workflows. But the emergence of the "clinician developer", doctors building their own AI tools via vibe coding, signals a deeper shift. The invention layer, where domain experts create what was structurally impossible before, is where the real value lives.
AI agents are stripping away the coordination task layer in healthcare management, exposing which roles were load-bearing leadership and which were simply compensating for a system that couldn't coordinate itself. The organisations that ask the structural question now will be better positioned than those that wait for the answer to arrive uninvited.
We've given healthcare AI the most powerful memory technology ever built, then asked it to forget everything at the end of each appointment. Three major acquisitions in January 2026 suggest the industry is finally asking the right question.
An AI system designed a drug from scratch that just hit Phase 1 trials. The real story isn't the molecule — it's the swarm of agents that built it.
AI-driven digital twins are quietly reshaping medicine, moving doctors from scribes to trusted copilots and, soon, to virtual colleagues who never sleep. The decisive question is no longer whether physicians will be augmented or replicated, but how they will reinvent themselves.
Ever wondered how AI might quietly streamline everyday tasks, from picking the perfect product deal to managing a hospital appointment? How agent-to-agent communications could redefine marketing, healthcare, and beyond.
Explore the fascinating concept of a 1000x Hackathon, where ambitious ideas take shape to solve real-world problems on a massive scale. A thought-provoking read on pushing boundaries and redefining innovation.
I've been collecting a lot of health data via wearables but realised I had so much data that I couldn't make sense of it. Enter the PLLM — a Personal Large Language Model for health coaching, evolving into a multi-agent system.
