A Practical Framework for Agent Pricing: Think Cell Data Plans, Not SaaS Seats

A developer proposes that AI agent costs should be understood on a fast/slow axis rather than smart/dumb, with pricing models that amortize hardware like cellular data plans.

An under-the-radar thread from @ibuildthecloud offers one of the more practical frameworks for thinking about agent economics. The core insight: the relevant axis for agent cost isn't intelligence (smart vs. dumb models) but latency (fast vs. slow execution). A task that can tolerate a 10-minute response time can be routed to cheaper, slower compute; a task that needs sub-second responses requires premium infrastructure. The cost difference between the two is enormous.

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