"For ecommerce, an agent could review Shopify sales data, identify products with slow sell-throughs, and create Google Ads campaigns to move the inventory. Certainly that process was doable, before AI agents, with automations and coordinated prompts. But agents offer a more structured solution. An agent maintains context through each step and likely operates more efficiently, consuming relatively fewer AI tokens and reducing overall compute costs."
"AgentKit packages several capabilities into a single development environment. It features Agent Builder, which helps developers define what an agent should do and how it should behave. The Connector Registry manages access to tools and data sources, including analytics software, application programming interfaces, and product databases. AgentKit includes what it calls ChatKit as the interface layer, making it easier to embed conversational AI into existing apps and websites. AgentKit also helps enforce safety, privacy, and performance standards."
AgentKit provides a unified environment for building self-directed AI agents that plan and execute tasks and access external tools and data. Agents act toward defined goals, maintain context across steps, and can choose actions rather than merely responding to prompts. Agents can streamline complex workflows that previously required multiple applications and manual coordination. AgentKit includes Agent Builder to define agent behavior, a Connector Registry to manage tool and data access, and ChatKit to embed conversational interfaces. AgentKit also incorporates safety, privacy, and performance controls while reducing token consumption and overall compute costs.
Read at Practical Ecommerce
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