Break-Even Board
Plug in your numbers, watch the break-even cross.
Replaces the industry's fine-tuning-vs-prompting hot takes with the learner's own crossover math -- a personalized answer computed live, not a rule of thumb.
What goes in, what comes out
Learner sets their own task profile -- monthly query volume, required accuracy, latency tolerance -- and three animated cost curves (prompting, RAG, fine-tuning) plot against volume, with a marker showing exactly where the learner's own numbers land. Dragging the accuracy requirement re-draws the curves live, so the 'right' strategy visibly flips instead of staying fixed.
Slider and preset selections describing the learner's own use case.
Three cost curves with the crossover point highlighted and a plain-language verdict, e.g. 'at your volume, fine-tuning breaks even in 11 days'.
Volume slider (100/mo to 10M/mo); accuracy-requirement bar; latency-requirement input; task-type presets (classification, generation, Q&A).
Companion to AIE-110 and the Data-track fine-tuning module; lead magnet for founders and PMs sizing a build decision.
Go deeper, elsewhere
Hand-picked public explainers and open tools that complement this one — always optional, never required, never graded.
Concepts click when you open the machinery.
Three labs are already live and free — the same hands-on style this playground brings to its module.