Post by BraivIQ AI Agency

Cheaper tokens should've cut your AI bill. It didn't. It went up instead. Here's the math your team skipped. An LLM API is stateless. It holds nothing between calls. So every turn resends the full context: prompt, history, tool outputs, all of it. A chatbot pays that cost once. An agent pays it on every step of its loop. → Read, plan, act, verify, repeat. Cost scales with tokens times turns, not unit price. That's the number everyone watches and the one that matters least. Unit price can fall 50% while one task burns 5 to 30x more tokens. The invoice climbs anyway. Most teams find this in the monthly bill, not the architecture review. By then the cost is structural. And that's why production AI gets shelved. This isn't a pricing problem. It's an engineering one. And it's fixable before you ship. The video breaks down the six levers we use to bring running cost down, and the savings we've measured. Watch it if your AI bill has stopped making sense. Free 30-min AI cost audit → https://braiviq.com We trace where your tokens go and show what's recoverable. BraivIQ. We build AI that's worth running.

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