Category: AI integrations

Content, interface, and data must work together. How to separate the CMS, automation, and AI layer so that each handles the right task.

A webhook can arrive twice, and an external API might stop responding. How to design automation that can handle such situations.

Handling inquiries and orders are specific areas for automation. Two scenarios show where AI can help and where simple rules suffice.

No-code tools can shorten the path to a working process. However, it is crucial to determine who is responsible for data, errors, and integration maintenance.

Not every screen should disappear. When does a conversation help accomplish a task and when does a table, form, or change preview provide better control?

Consistent product descriptions, parameters, and URLs make it easier to use them in search and integrations. How to ensure solid technical foundations.

Extending the site with integrations expands the area that requires protection. How to prioritize and limit the consequences of incorrect or unauthorized requests.

The visual and technical layers should support the same goal. How to identify trade-offs that will hinder development after launch.

Customer questions help organize content. How to create useful answers and update them without multiplying similar subpages.