In the rapidly evolving landscape of artificial intelligence, the concept of "AI agents" is shifting from theoretical discussions to practical, impactful applications. Platforms like Agents.do are pioneering the era of autonomous digital workers, enabling businesses to deploy intelligent, self-sufficient entities that integrate seamlessly into existing workflows. But how do you truly know if your AI agents are succeeding? The answer lies in defining clear, measurable Key Results (KRs).
Just like their human counterparts, an AI agent isn't valuable simply because it's "working." Its true worth is tied to its ability to achieve specific, predefined objectives and contribute demonstrably to business goals. This is where Key Results come in.
For every AI agent you deploy, whether it's a customer support bot, a supply chain optimizer, or a data analyst, establishing robust Key Results is crucial for:
As highlighted in our FAQs, Key Results on Agents.do are the measurable outcomes that indicate an agent's performance and success in achieving its objective. They transform an agent's abstract role into concrete, trackable metrics.
Let's consider the example from Agents.do:
Here, for "Amy," the Customer Support Agent, her success is not just about "handling inquiries." It's meticulously defined by:
These Key Results provide a clear, quantifiable picture of Amy's effectiveness, allowing businesses to monitor her impact and make data-driven decisions about her training and capabilities.
When designing your AI agents on Agents.do, think critically about these steps to define compelling Key Results:
Agents.do empowers you to not only build and deploy powerful autonomous agents but also to manage and evolve them with precision. By codifying "keyResults" directly into your agent's definition, you embed a critical layer of performance management into your "Business-as-Code" strategy. This ensures that your digital workforce isn't just busy; it's effectively contributing to your bottom line, delivering measurable value, and driving your business forward.
Ready to define success for your autonomous digital workforce? Explore Agents.do and begin building AI agents with clear, impactful Key Results today.
Keywords: AI agents, autonomous workers, agent orchestration, digital workforce, enterprise AI, business-as-code, Key Results, performance measurement, AI strategy
import { Agent } from 'agents.do'
// Create a customer support agent
const customerSupportAgent = Agent({
name: 'Amy',
role: 'Customer Support Agent',
objective: 'Handles customer inquiries and resolves common issues',
keyResults: ['responseTime', 'resolutionTime', 'escalationRate', 'customerSatisfaction'],
url: 'https://amy.do',
integrations: ['chat', 'slack', 'email', 'zendesk', 'shopify'],
triggers: ['onTicketCreated', 'onMessageReceived'],
searches: ['FAQs', 'Tickets', 'Orders', 'Products', 'Customers'],
actions: ['sendMessage', 'updateOrder', 'refundOrder', 'resolveTicket', 'escalateTicket'],
})