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.

Integrate AI agents with Inngest

AI-powered task automation in Next.js using OpenAI and Inngest. Enhance productivity with automated workflows.

Technology used: Next.js, OpenAI

Explore: Code | Demo

Made by: Joel Hooks

More context

Check the resources below to learn more about working with AI agents using Inngest.

Blog: "AI in production: Managing capacity with flow control"

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.

Talk: "Automate All of Your Customer Interactions with AI in Next.js"

Joel Hooks discusses managing long-running processes like generative AI to automate customer interactions effectively.

Blog: "Semi-Autonomous AI Agents and Collaborative Multiplayer Asynchronous Workflows"

Build an AI agent that reads from Linear issues, returns relevant issues based on queries, and allows actions on those issues.

Video: "Chaining Prompts The Easy Way - Using Inngest Serverless Jobs with OpenAI"

Doug Silkstone demonstrates how to chain together prompts and get content in next to no time at all.