Recent content by oliver_wolf

  1. O

    Understanding AI Tool Recommendations: beginner tips and data quality

    When working with AI Tool Recommendations, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is beginner tips. Define what a good result looks like before changing tools or settings, then test one variable at...
  2. O

    Unitree explained: a practical look at accessibility

    The point about unitree and way is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.
  3. O

    A practical overview of Which AI Should I Use? for deployment

    When working with Which AI Should I Use?, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a...