The shift from 'which model is best' to token economics analysis is overdue. Creative workflows are now real engineering decisions involving latency, cost per output, and governance overhead. The multi-agent architecture framing is where it gets genuinely new territory.
Running parallel creative agents with a governance layer on top changes the economics of production completely. Curious how you're seeing provenance and watermarking play out in practice. Is the industry actually adopting it or is it still mostly regulatory theater at this point?
"Invest in orchestration, not model fandom" — I take the point, and coherent workflows clearly matter. But I'm wary of creative strategy becoming primarily a logistics problem. Orchestration is load-bearing, but what it's carrying still has to be worth carrying. AI makes the infrastructure question so loud that the content question gets crowded out. Worth asking: which orchestrator are you trusting to hold that?
When I say “invest in orchestration, not model fandom”, I’m not suggesting creativity becomes a logistics problem. The idea is the opposite: orchestration stabilises the infrastructure so the creative layer can stay central.
Models change every few weeks. If workflows depend on a specific model, teams keep rebuilding everything. Orchestration makes models interchangeable components inside a larger system.
The shift from 'which model is best' to token economics analysis is overdue. Creative workflows are now real engineering decisions involving latency, cost per output, and governance overhead. The multi-agent architecture framing is where it gets genuinely new territory.
Running parallel creative agents with a governance layer on top changes the economics of production completely. Curious how you're seeing provenance and watermarking play out in practice. Is the industry actually adopting it or is it still mostly regulatory theater at this point?
"Invest in orchestration, not model fandom" — I take the point, and coherent workflows clearly matter. But I'm wary of creative strategy becoming primarily a logistics problem. Orchestration is load-bearing, but what it's carrying still has to be worth carrying. AI makes the infrastructure question so loud that the content question gets crowded out. Worth asking: which orchestrator are you trusting to hold that?
Great point — and I agree with the concern.
When I say “invest in orchestration, not model fandom”, I’m not suggesting creativity becomes a logistics problem. The idea is the opposite: orchestration stabilises the infrastructure so the creative layer can stay central.
Models change every few weeks. If workflows depend on a specific model, teams keep rebuilding everything. Orchestration makes models interchangeable components inside a larger system.
A good example is this approach:
https://buildingcreativemachines.substack.com/p/product-review-weavy-makes-multi
The focus is on flows and systems working together, not on betting on one model. The creative judgment still comes from humans.
So I’d frame it like this: taste decides what’s worth carrying; orchestration makes sure the system can carry it.