Nihal Dwivedi

Nihal Dwivedi

Software developer

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Why is pricing AI agents so much harder than traditional SaaS?

We've been talking to dozens of AI agent founders over the past few months and one thing keeps coming up, only few actually knows what it costs them to serve a single customer.

With traditional SaaS it's simple. Seat-based pricing, predictable infra costs, clean unit economics.

With AI agents it's a completely different beast. You've got LLM tokens, voice minutes, vector DB queries, tool calls, cloud compute. All variable, all billed separately, none of it tied to a specific customer or workflow.

You get a monthly invoice from 5 different vendors. You make a guess. And you find out months later you've been losing money on your best customers. Even OpenAI itself uses Metronome just to handle ChatGPT's billing complexity.

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