Recent content by forest_logan

  1. forest_logan

    Ideogram knowledge guide: improving privacy considerations

    A useful way to understand Ideogram is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...
  2. forest_logan

    AI Consulting: mistakes and lessons ideas and experiences

    I wanted to start a broader mistakes and lessons thread around AI Consulting. A useful angle is testing, but it also connects with setup choices. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...