Recent content by runner_theo

For AI SaaS, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome. Another...

I wanted to start a broader productivity ideas thread around Datasets. A useful angle is deployment, but it also connects with cost control. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...