Built by Lyzr, Architect.new promises to let business executives and consultants design, build, and deploy AI agents without writing a single line of code. We tested both its guided flow and One Shot mode to see if the promise holds up.
Try Architect.new
Architect.new is genuinely useful for consultants and ops leads who need a working AI agent prototype in hours, not weeks. The free tier gives you enough runway to validate whether an agent concept is viable before committing $29/month. If you are a developer who already knows LangChain or CrewAI, you will find the abstraction layer limiting. But if you are a non-technical decision-maker who needs to ship a customer support bot, internal data retrieval agent, or process automation workflow without hiring an engineer, this is one of the fastest paths from idea to deployment available right now.
All plans billed monthly. Enterprise pricing requires a sales conversation.
Note: Our earlier estimate of ~$35/month was based on pre-launch pricing. The confirmed Pro tier is $29/month.
What Architect.new actually does well, and what sets it apart from manual agent frameworks.
Describe what you want your agent to do in plain English. Architect.new interprets your intent, identifies required capabilities, and maps out the agent architecture before any building begins. This is where the "guided flow" shines for non-technical users.
Feed it a single prompt and get a complete agent scaffold: tools, memory configuration, prompt templates, and deployment config. Useful when you already know exactly what you want and do not need the step-by-step walkthrough.
Chain multiple agent steps together visually. Define conditional logic, handoffs between sub-agents, and fallback behaviors. This is the core differentiator over simpler chatbot builders that only handle linear conversations.
Architect.new generates a front-end interface for your agent automatically. It is not going to win design awards, but it produces functional, mobile-friendly UIs that you can embed or share immediately.
Pre-built connectors for Google Workspace, Slack, Microsoft Teams, Asana, and Zapier. The Zapier integration effectively gives you access to thousands of additional apps, though the depth of each connection varies.
Agents build and deploy in the same session. No separate CI/CD pipeline, no Docker configuration, no server provisioning. You go from prompt to live agent URL in minutes. Lyzr handles the hosting infrastructure.
Architect.new is not for everyone. Here is where it makes the most sense.
Build a support agent that pulls from your knowledge base, handles tier-1 queries, and escalates to humans when needed. The Slack and Teams integrations mean you can deploy it where your team already works.
Prototype AI solutions for clients in a single working session. Show a live demo instead of a slide deck. This is clearly Lyzr's primary target audience, and the guided flow is designed to make consultants look competent with AI tooling fast.
Connect to Google Workspace or internal databases and build agents that answer questions about your data. Think "ask your spreadsheets" or "query your project management tool in natural language."
Automate repetitive workflows like task assignment, status updates, and report generation. The Zapier connector extends this to virtually any SaaS tool. Best for structured, repeatable processes rather than open-ended creative tasks.
No tool is perfect. Here is what you should know before committing.
You can prototype and test, but support is minimal and custom integrations are locked behind the Pro plan. If your agent needs Slack or Zapier connectivity, you are paying $29/month from day one.
If you are comfortable with LangChain, LlamaIndex, or CrewAI, Architect.new will feel like a black box. You cannot easily inspect the underlying agent code, swap out LLM providers at a granular level, or implement custom tool functions beyond what the platform exposes.
Your agents live on Lyzr's infrastructure. There is no obvious "export to code" option that lets you take your agent and self-host it. If Lyzr changes pricing, deprecates features, or shuts down, your agents go with it.
The platform is explicitly designed for business executives and consultants. If you want a personal assistant agent or a hobby project, the onboarding flow and pricing structure are overkill. Look at something like Poe or a simple GPT wrapper instead.
The auto-generated front-end works and is responsive, but it looks generic. If you need a polished, branded experience for external customers, plan on building a custom front-end that calls the agent via API.
The free tier is enough to validate your idea. Start there, and upgrade to Pro only if you need integrations or priority support.