Building AI agents is easy.Managing them isn't.

import { agent } from "@guild-ai/sdk";

export default agent({
  name: "ticket-triage",
  triggers: ["jira.issue.created"],
  async run({ issue }) {
    const priority = await classify(issue);
    await route(issue, priority);
  }
});

import { agent } from "@guild-ai/sdk";

export default agent({
  name: "pr-review",
  triggers: ["github.pr.opened"],
  async run({ pr }) {
    const risks = await analyze(pr.diff);
    await pr.comment(risks.summary);
  }
});

import { agent } from "@guild-ai/sdk";

export default agent({
  name: "root-cause",
  triggers: ["pagerduty.incident"],
  async run({ incident }) {
    const cause = await trace(incident);
    await incident.annotate(cause);
  }
});

import { agent } from "@guild-ai/sdk";

export default agent({
  name: "oncall-resp",
  triggers: ["pagerduty.alert"],
  async run({ alert }) {
    const runbook = await match(alert);
    await slack.post(runbook.steps);
  }
});

import { agent } from "@guild-ai/sdk";

export default agent({
  name: "slack-bot",
  triggers: ["slack.message"],
  async run({ message }) {
    const answer = await resolve(message);
    await message.reply(answer);
  }
});

import { agent } from "@guild-ai/sdk";

export default agent({
  name: "tech-support",
  triggers: ["zendesk.ticket"],
  async run({ ticket }) {
    const docs = await search(ticket.q);
    await ticket.suggest(docs);
  }
});