Tag: AI Integration

Site speed depends on queries, resources, and integrations. Where to start measurements and how to maintain the optimization effect after deployment.

Voice can make task completion easier but does not suit every situation. How to assess its use and plan a safe fallback to a traditional interface.

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.

Code generated by a model requires the same standards as the rest of the code. Key review areas: permissions, inputs, and side effects.

Data control, maintenance costs, and infrastructure requirements influence the choice of solution. Questions to ask before making a decision.

Unnecessary API calls, duplicate tasks, and lack of measurement can increase expenses. How to look for costs resulting from architecture.

What should a visitor understand and do on the website? How to translate the business goal into project scope and acceptance criteria.

A working website may still hinder daily operations. Reviewing structure, performance, and error handling helps plan further development.

A stable content model, clear module boundaries, and a maintenance plan facilitate site development. What to consider before adding new features.