profiq Weaver in Action: Watch an AI Agent Manage Our Website

Most marketing and business teams don’t want to think about the code behind their website. They want to publish a blog, change a page, add something visual, and move on.

But there’s always been a tradeoff. A traditional CMS makes routine updates easier, but it also puts boundaries around what you can change without involving a developer. A fully custom site gives you much more flexibility, but even relatively simple changes can end up waiting in an engineering queue.

We wanted to see if AI could change that equation.

From a Google Doc to a live website

We’ll walk you through our process. You can watch the video here and you can follow along on the blog also.

Our content process starts in a very familiar place: Google Docs. We write the article, collaborate, make comments and get the content ready to publish.

From there, instead of logging into WordPress or another CMS, we create a ticket in our website’s code repository. We give Weaver the content, title image, author information and instructions for the update. We can also ask it to handle things such as preparing the SEO fields.

Then we add the Weaver task tag and Weaver takes it from there. It makes the changes to the website and creates a pull request summarizing what it has done. More importantly, it gives us a preview URL so we can see the updated website before anything goes live.

The interesting part happens after the first draft

This is where the workflow starts to feel less like traditional website management. We’re not limited to filling in predefined CMS fields. If we look at the preview and decide the article needs another visual element, a different layout or even new functionality, we can ask for it in the PR comments.

Weaver takes the feedback, goes back into the codebase, makes the changes and gives us another version to review. A human still makes the final decision and merges the approved work into production.

That creates a very different relationship between the people managing the website and the underlying code.

Why Weaver can work this way

The important part isn’t simply that Weaver can generate code. General-purpose AI coding tools can do that too.

We’ve built Weaver to work inside the structure, conventions and engineering practices of the application it’s working on. That gives the agent context and constraints rather than asking it to invent a new approach every time it receives a task. The work also goes through a normal software development process, including a PR, review, preview and human approval before reaching production.

That’s important if AI is going to move beyond prototypes and take on real development work. Speed is useful, but not if every task introduces a slightly different pattern, unnecessary dependency or piece of technical debt.

For us, the website is becoming a useful proving ground for this model. Marketing gets much more freedom to ask for what it wants without being confined to what a CMS happens to support, while the underlying website remains an engineered application with human oversight.

And we continue to learn about what happens when an AI agent isn’t just helping write code, but becomes part of the way software is actually managed.

Watch the demo on YouTube to see the workflow in action.