In the messy world we looked at in the last chapter, our engineer Alex was stuck on an API treadmill, spending weeks doing boring "protocol translation" instead of making new features. Many M×N integrations overwhelmed the team, causing the workload to grow exponentially rather than linearly with each new tool or AI model. Such an environment is not a strong enough base for an industry that is about to change the digital world. The friction is too high, the speed is too slow, and the building is too fragile.

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The Solution: A Universal Language for AI

  • Srinivasan Sekar

摘要

In the messy world we looked at in the last chapter, our engineer Alex was stuck on an API treadmill, spending weeks doing boring "protocol translation" instead of making new features. Many M×N integrations overwhelmed the team, causing the workload to grow exponentially rather than linearly with each new tool or AI model. Such an environment is not a strong enough base for an industry that is about to change the digital world. The friction is too high, the speed is too slow, and the building is too fragile.