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2026 AI Aggregation Platform Technology Guide: A Comprehensive Manual for Overseas Developers and Small and Medium-Sized Enterprises
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Claude secretly becomes stupid while doing AI research, and Anthropic is besieged by the research community
We used GPT-5.5 in the European e-commerce customer service system, which saved 62% of the manpower, but we encountered two fatal pitfalls.
After our team switched address recognition to GPT-5, the error rate associated with code 429 decreased from 13% to 0.2%, but we encountered two unexpected issues.
1. AirAi Token Creation Tutorial
We saved 32% on manpower by using GPT-4 to process millions of after-sales tickets. Avoid these three common mistakes.
Using the OpenAI API to validate European logistics addresses: We saved 32% on labor costs and also avoided two critical mistakes.
I cut my LLM API bill by 70%: AirAi practical notes on routing + caching
Our team reduced the cost of address resolution by 62% using GPT-3.5, and at the same time, we solved the issue of traffic throttling during major promotions.