Build the Future of Software with AI Agents

🧑‍💻 For developers building the next generation of agent-powered software

Build, experiment, and learn with AI agents—faster than ever. Prototype ideas, scaffold production backends, and access real-world examples and resources to accelerate your learning and stay ahead asand stay ahead as the developer role evolves.

Prototype in Playground Backend with Initializr Real-world Agents

*No sign-up required · Developer-first · Works with your own API key*

Feature Overview

See Agentailor in Action

Explore how each part of Agentailor helps you go from idea to deployable AI agent.

Design Smarter Agents with the Playground

The Playground helps you simulate agent logic, test multi-step interactions, and iterate without setup.

Define system prompts, personas, toolsRun multi-turn chatsEvaluate with LLM-as-judgeValidate before you write any code
LangGraphJS + NestJS scaffoldBuilt-in config for tools, memory, routingExportable, testable, deployable

Scaffold a Production-Ready Backend

The Agent Initializr helps you skip boilerplate and build real agent backends fast.

Explore Real AI Agents

Agents Starter is an open-source repo of real-world agent templates — from dev to deployment.

Use cases across domainsDeployable with minimal changesUpdated regularly with new templates

Learn from the Field

Our blog shares what we learn about building real AI agents, designing with LLMs, and architecting agentic systems.

Design patternsArchitecture deep divesProduct updates

How Agentailor Fits Into Your Dev Flow

1Define & Test

Use the Playground to sketch your agent's purpose, behavior, and capabilities.

2Evaluate Responses

Run multi-turn conversations and use LLM scoring to test alignment.

3Scaffold Your Backend

Instantly generate a full LangGraphJS + NestJS project with Initializr.

4Extend & Deploy

Customize, deploy, or start from a Starter project — you're production-ready.

We Value Your Feedback

Agentailor is evolving — your input helps us improve.

Tell us what’s workingReport issues or suggest featuresHelp shape Agentailor's future
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