The 5-Year Foresight Builder
Build your own AI future. Compare it to the forecast.
instead of publishing Miatz's own forecast as an assertion, the learner's forecast is elicited first and compared second — the gap between prediction and tracked signal is the teaching moment, not the prediction itself
What goes in, what comes out
Learner drags sliders on five or six capability axes — agent autonomy, context length, cost-per-task, multimodal reach, regulation strength — to set where they predict year five lands. The tool overlays their curve against a maintained, citation-backed consensus trajectory refreshed from the same live-signal feeds, and highlights the axis where their guess diverges most from the tracked trend.
set 5-6 sliders to a predicted trajectory, pick a role lens
an overlay chart of predicted vs tracked consensus, a 'most surprising gap' callout, a role-specific 'what to build toward' takeaway
5-6 axis sliders, role lens (Product/Design/Marketing/Engineering/etc.), 're-forecast on new data' refresh
FREE, top-of-funnel — /playgrounds gallery; re-surfaced periodically as a 'has your forecast aged well' recurring hook
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.