How We Test AI Tools
Before we recommend an AI tool, we run it through a simple but realistic workflow: a week of content, a batch of short-form videos, or a small campaign for a single offer.
We pay attention to:
- Where the tool clearly saves time or mental load.
- Where it creates extra editing or cleanup work.
- How pricing behaves over the full year, not just the first month.
If a free or cheaper tool is good enough, we say so. If a tool stands out and replaces multiple subscriptions, we highlight that too.