Hot take: A single good AI setup beats most multi-agent systems

<!-- SC_OFF --><div class="md"><p>I’ve been digging into healthcare AI systems lately and one thing feels obvious but weirdly ignored.</p> <p>Single-model setups just don’t work

<!-- SC_OFF --><div class="md"><p>want to put a different multi-agent direction on the table because most of what i see assumes task teams.</p> <p>the dominant pattern right now:

<!-- SC_OFF --><div class="md"><p>The idea is simple, if one agent is good then multiple agents working together must be better. In practice coordination between agents is an

<!-- SC_OFF --><div class="md"><p>Hot take: a lot of “AI use cases” are just compensating for lack of structure.</p> <p>Before building agents, most people would get more value

<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41

<!-- SC_OFF --><div class="md"><p><a href="https://youtu.be/vczBo0AvbTI?si=pglMPmTjsq-TNJa9&amp;t=375">https://youtu.be/vczBo0AvbTI?si=pglMPmTjsq-TNJa9&amp;t=375</a></p>

<!-- SC_OFF --><div class="md"><p>Posting because this sub is where the policy conversation should be happening and it isn't. </p> <p>I'm the COO of a mid-Atlantic insurance

<!-- SC_OFF --><div class="md"><p>I keep running into the same annoying gap.</p> <p>An AI workflow looks solid in the first run. The happy path works. Logs are clean enough that