Google Introduces Interactive Experience for Go
agents multimodal
| Source: Dev.to | Original article
AI library enhances Go with predictable CLI interactions. It enables deterministic output for LLM agents.
A new Go library, ax-go, has been introduced to make command-line interfaces (CLIs) more predictable for large language model (LLM) agents. This development is significant as it enables more deterministic output and better control over the interaction between humans and autonomous systems.
As we have previously reported, the concept of agentic experience is transformative, moving beyond traditional AI coding to agentic engineering. It involves creating interactions where AI systems operate with autonomy, going beyond mere assistance. The introduction of ax-go is a step in this direction, allowing for more predictable and controlled interactions between humans and LLM agents.
What to watch next is how this new library will be adopted and integrated into various applications, particularly in e-commerce and other areas where agentic AI is being explored. The emerging discipline of agentic experience design (AXD) will play a crucial role in governing the interactions between humans and autonomous systems, and ax-go is likely to be an important tool in this field.
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