AI agents Example page

pages/docs/examples/ai-agents.mdx

@@ -0,0 +1,75 @@
+import { ResourceGrid, Resource } from 'src/shared/Docs/Resources';
+import { Example } from 'src/shared/Docs/Examples';
+
+import { RobotIcon } from "@heroicons/react/24/outline";
+
+export const description = "Learn how to use Inngest with AI agents for automated workflows."
+
+# AI Agents
+
+AI agents are software entities that perform tasks autonomously or semi-autonomously based on predefined rules or machine learning models. These agents can be used in various scenarios, such as customer support, data analysis, and process automation, to enhance efficiency and productivity.
+
+With Inngest, you can orchestrate and manage AI agents to create robust workflows that leverage AI capabilities seamlessly.
+
+## Code examples
+Here are apps that use Inngest to power AI agent workflows.
+
+<Example example={{
+title: "Integrate AI agents with Inngest",
+technology: "Next.js, OpenAI",
+description: "AI-powered task automation in Next.js using OpenAI and Inngest. Enhance productivity with automated workflows.",
+pattern: 1,
+demo: "https://www.loom.com/share/c43aa34205854096bcec0a96e7ba5634?sid=839b1adc-ad39-4540-9995-88967f2b6da9",
+github: "https://github.com/joelhooks/inngest-partykit-nextjs-openai",
+image: "/assets/docs/examples/ai-agents/vercel-openai-inngest-partykit-demo.png",
+author: "Joel Hooks",
+authorSocial: "https://twitter.com/jhooks"
+}}/>
+
+## More context
+Check the resources below to learn more about working with AI agents using Inngest.
+
+<ResourceGrid cols={2}>
+
+<Resource resource={{
+href: "/blog/ai-in-production-managing-capacity-with-flow-control",
+name: 'Blog: "AI in production: Managing capacity with flow control"',
+icon: RobotIcon,
+description: "Learn how to manage AI capacity in production using Inngest's flow control techniques, including throttling, concurrency, debouncing, and prioritization, to optimize performance and cost-efficiency.",
+pattern: 1,
+}}/>
+
+<Resource resource={{
+href: "https://www.youtube.com/watch?v=EoFI_Bmzb4g",
+name: 'Talk: "Automate All of Your Customer Interactions with AI in Next.js"',
+icon: RobotIcon,
+description: "Joel Hooks discusses managing long-running processes like generative AI to automate customer interactions effectively.",
+pattern: 1,
+}}/>
+
+<Resource resource={{
+href: "/blog/semi-autonomous-ai-agents",
+name: 'Blog: "Semi-Autonomous AI Agents and Collaborative Multiplayer Asynchronous Workflows"',
+icon: RobotIcon,
+description: "Build an AI agent that reads from Linear issues, returns relevant issues based on queries, and allows actions on those issues.",
+pattern: 1,
+}}/>
+
+<Resource resource={{
+href: "https://www.youtube.com/watch?v=PCq6DozV-mY",
+name: 'Video: "Chaining Prompts The Easy Way - Using Inngest Serverless Jobs with OpenAI"',
+icon: RobotIcon,
+description: "Doug Silkstone demonstrates how to chain together prompts and get content in next to no time at all.",
+pattern: 1,
+}}/>
+
+</ResourceGrid>
+
+## Related concepts
+
+- [Concurrency](/docs/guides/concurrency)
+- [Debouncing](/docs/guides/debounce)
+- [Prioritization](/docs/guides/priority)
+- [Rate limiting](/docs/guides/rate-limiting)
+- [Steps](/docs/reference/functions/step-run)
+- [Throttling](/docs/guides/throttling)

pages/docs/examples/index.mdx

@@ -10,6 +10,14 @@ Explore the features built with Inngest:
 
 <ResourceGrid cols={2}>
 
+<Resource resource={{
+ href: "/docs/examples/ai-agents",
+ name: "AI Agents",
+ icon: EnvelopeIcon,
+ description: "Use Inngest to build AI agents.",
+ pattern: 1,
+}}/>
+
 <Resource resource={{
  href: "/docs/examples/email-sequence",
  name: "Email Sequence",

pages/docs/examples/track-failures-in-datadog.mdx

@@ -14,7 +14,7 @@ This page provides an example of tracking all function failures using [Datadog's
 
 ## Quick Snippet
 
-Here is a basic function that uses the internal [`"inngest/function.failed"`](/docs/reference/system-events/inngest-function-failed) event. This event is triggered whenever any single function fails in your Inngest [environment](/docs/platform/environments).
+Here is a basic function that uses the internal [`"inngest/function.failed"`](/docs/reference/system-events/inngest-function-failed) event. This event is triggered whenever any single function fails in your [Inngest environment](/docs/platform/environments).
 
 ```ts
 import { client, v1 } from "@datadog/datadog-api-client";

pages/docs/reference/system-events/inngest-function-failed.mdx

@@ -1,6 +1,6 @@
 # `inngest/function.failed` {{ className: "not-prose" }}
 
-The `inngest/function.failed` event is sent whenever any single function fails in your Inngest [environment]((/docs/platform/environments)).
+The `inngest/function.failed` event is sent whenever any single function fails in your [Inngest environment](/docs/platform/environments).
 
 This event can be used to track all function failures in a single place, enabling you to send metrics, alerts, or events to [external systems like Datadog or Sentry](/docs/examples/track-failures-in-datadog) for all of your Inngest functions.
 

shared/Docs/navigationStructure.ts

@@ -614,6 +614,10 @@ const sectionExamples: NavGroup[] = [
  defaultOpen: true,
  links: [
  { title: "All examples", href: `/docs/examples/` },
+ {
+ title: "AI agents",
+ href: `/docs/examples/ai-agents`,
+ },
  {
  title: "Email Sequence",
  href: `/docs/examples/email-sequence`,