Uncensored AI for science fair projects
A question you can actually test, on equipment you actually have
Most science fair projects fail at step one: the question is either untestable in a school lab or it has been done ten thousand times. Designing a question that is both new to the student and doable by the student is the whole skill.
Why the mainstream APIs fail here
A hosted model will suggest the classic projects with the classic biases, or something that needs a centrifuge. And when the project touches microbes, plants or animals, the safety hedging starts steering the student away from the interesting version.
How Wild West API is used for this
Start from the equipment list and the time budget, not from the topic. Ask for ten testable questions ranked by feasibility, then pick one and design the method with controls. Ask what will go wrong in week two and plan for it.
A working loop
- Give the model the equipment and the calendar before the topic.
- Ask for the control everyone forgets; there is always one.
- The logbook is marked; draft entries as you go, not the night before.
Details are on the privacy page. Per-model prices are on /models and the pricing model is on /pricing.