Api Lets Businesses White-label Ai-powered Website Builder

Cloud-based platform 10Web.io allows users to create a fully functional WordPress e-commerce site from a natural language prompt in minutes. After the company released an API, that capability can be embedded into any B2B platform.

The RESTful API allows businesses to white label the AI-powered web generation tool on their own platform by adding a generation link or a text-based prompt field to the customer dashboard. A company such as eBay could use the API to make the website generation available to merchants using their platform, said 10Web co-founder and CEO Arto Minasyan.

“Merchants are adding products to their eBay pages, but each merchant also wants to have a separate e-commerce website,” Minasyan said. “The user gets the link inside the developer’s platform, which says your site is ready.”

WordPress E-Commerce Sites in Minutes

Minasyan demoed the offering, showing how a Chinese restaurant owner in Palo Alto might use the product. With just a few sentences, it created a customized site with information about the location.

“It’s basically four pages — the home page, the menu and so on,” he said. “Users can also add their own sections here — let’s say a contact form.”

After the selection of a color palette and a click by the user, it adds AI-generated artwork and the site is complete. The sections are editable, so users can upload new photos or edit the text.

Each site is hosted in a fully isolated environment with its own backend and frontend, he added. It’s provided by 10Web, which uses Google Cloud for hosting the website itself, although users can connect custom domains through DNS settings.

“We also do all the services managed, so we basically provide backup security, SSL certificates, the checkup and the frontend optimization, so developers don’t need to do all that stuff,” he said. “ It all comes at the API level.”

To white-label 10Web, a developer simply integrates the API into the business platform.

Different From Low-Code Tools

What differentiates 10Web from traditional low-code building tools is that it generates the same code as WordPress, rather than proprietary code that will only work on the low-code provider’s hosting platform. Since it generates a fully functioning WordPress site, users can add any plugin from WordPress’ extensive ecosystem, he said.

“Let’s say if you have a client who generated [a] 10Web website and at some point they decide to move to their own infrastructure or to another vendor. They can always do that, because it’s not a closed platform,” he said. “They just migrate the WordPress containers to another hosting provider.”

Users can also edit the code by themselves or with the help of an AI copilot inside the editing tool.

Minasyan’s Model Advice for Developers

Under the hood, 10Web uses multiple models, each targeted for a specific aspect of website creation, Minasyan said. For example, it uses Anthropic’s Claude 3.7 Sonnet for code generation, but also leverages Google’s Gemini and OpenAI models for other tasks. 10Web uses in-house models and proprietary technologies for website generation, he said, adding that the company’s founders hold two patents from the U.S. Patent and Trademark Office.

“We use all the best models in order to make it,” he said. “We are always looking for the best models in the industry, because we want our websites to look as good as possible, both from code, design, images and text.”

Minasyan estimated that 20% of his time is dedicated to choosing models. One piece of advice he offered to developers using large language models is to clarify the use case first.

“Depending on the use case, different models can have different behaviors. Don’t judge from, let’s say public announcements — go and do the testing by themselves to see how particular models behave in that specific use case,” he said.

He also suggested developers collect user data and fine-tune the functionality using it. If a developer can fine-tune for a specific use case, it’s possible to get two to three times better performance out of a refined model over a generic model, he added.

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