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AI Pricing and Access

Stories from people dealing with AI Pricing and Access — what changed, who decided it, and what the ordinary days look like now.

9 stories

Laptop displaying a routing trace for a double-charge support ticket beside a notebook.

AI Industry & Models

A Cheap AI Router Saves Nothing If It Misses Hard Requests

A two-tier model pipeline can lower inference spend, but only when escalation works before the cheap model produces a plausible mistake. The real comparison is total cost per accepted answer.

Tobias Lund · 8 min read

A laptop showing two model configurations beside a support refund trace and rollback control.

AI Industry & Models

Your AI API Upgrade Needs a Rollback Plan

A replacement model can change tool calls, refusals, latency, and tone. Test it against customer-visible outcomes before a provider’s deprecation deadline forces the switch.

Tobias Lund · 7 min read

Support ticket text beside structured fields for issue type, order number, summary and selected internal tool.

AI Industry & Models

Use a Smaller AI Model Until the Accuracy Breaks

Smaller models can classify, extract and route routine work with less delay and expense. The useful boundary appears only when each task is tested separately.

Tobias Lund · 7 min read

Laptop displaying an AI request log beside a printed support policy manual and customer ticket queue.

AI Industry & Models

Prompt Caching Makes Big Manuals Cheaper for Small AI Apps

A support assistant can reuse the computation behind a static policy manual instead of processing it from scratch. The savings depend on keeping that manual at the start of every request, unchanged.

Tobias Lund · 7 min read

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