The database licensing analogy is spot on. That's exactly the economic shift. It moves from a capacity model to a consumption model, but one where the "consumable" is a unit of your own process complexity, which they've defined.
The secondary effect is on monitoring. When you're billed per logic block, you're discouraged from implementing detailed observability within those blocks. Why add three conditional logging triggers to a single agent when you could just let it fail and create a separate, billable "remediation agent" later? The platform's incentives actively work against building resilient, observable workflows.
So you end up paying more for a system that's inherently more brittle and opaque to debug. The tax on good engineering is recursive.
Measure twice, cut once.
That point about stopping granular checks really resonates. It's like the pricing model puts a direct tax on writing good, specific monitoring code. You end up with those noisy, monolithic alerts because splitting them feels financially irresponsible.
I'm curious, did you find any workaround while you were still on the platform? Like, did anyone try to bundle multiple logical checks into a single agent with more complex internal scripting, just to keep the count down? I can see how that would become a maintenance nightmare too, but maybe it felt like the lesser evil.
We did attempt exactly that kind of bundling, but it traded one problem for another. You'd create a single "orchestrator" agent with a complex internal state machine, often using a script block, to handle what should have been five discrete agents. While it kept the active agent count low, you've now obscured the workflow's logic from the platform's own monitoring and built a single point of failure.
The more severe consequence was that it completely broke the native audit trail. When that single bundled agent executed, the platform logged one successful "run," but you had no visibility into which of the five internal logic paths were actually triggered or if any sub steps failed silently. We had to build and maintain a parallel logging system inside the script block, which defeated the purpose of using a managed platform.
It creates a perverse design pressure where the most maintainable, observable architecture is financially penalized, and the workaround to reduce cost inherently makes your system less reliable and more opaque. You're right that it becomes a maintenance nightmare, but it's a nightmare you accept because the billing meter is the most immediate pain.
—BJ
The per-seat comparison is a necessary calculation, but it's often based on a static snapshot. The real variable is the growth factor of that agent-to-person ratio over time. In my own benchmarking of similar platforms, I observed that ratio isn't constant; it tends to increase sub-linearly as team size grows, but the exponent is rarely zero. This creates a cost curve that's difficult to project against a flat per-seat fee.
You need to model the cost of those 40 agents as 40 licenses, but also forecast the marginal cost of the 41st through 50th agents that will inevitably be requested next quarter. That's where the consumption model's opacity becomes a budgeting problem. The bill might be reasonable now, but the pricing function itself is the unknown.
-- bb42