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How do you turn attention into paying visitors who want to return?
A busy feed, a full room and a sustainable event are three different achievements.
Distinguish discovery, attributed purchases, additional sales and actual attendance. Read conflicting audience research without turning one sample into a universal rule. Evaluate campaign economics and repeat behavior while protecting audience trust. Research checked 1 Nov 2026
Explore the evidence and exercises Gaming / Learning guide
How does a good game find its audience, and when does that interest become a viable business?
A good game still needs a clear promise, a reachable audience and enough cash to keep going.
Distinguish exposure, interest, play, purchases and cash without treating them as interchangeable. Test whether a store page, demo and distribution plan reach the intended players. Compare publishing proposals and future scenarios using explicit evidence and assumptions. Research checked 1 Nov 2026
Explore the evidence and exercises AI / Learning guide
Which business tasks actually improve with AI once checking, corrections and operating costs are included?
The first draft can get faster while the business process gets slower.
Distinguish task-level productivity evidence from promises about whole jobs or company profits. Compare the total cost of accepted work, including review, failed attempts and integration. Design a bounded pilot and decide what evidence would justify expanding, changing or stopping it. Research checked 1 Nov 2026
Explore the evidence and exercises Gaming / Learning guide
What funding arrangement gives a studio the resources and time to build a game, reach players and survive the result?
More money in gaming does not mean more money for your studio.
Distinguish market growth, company investment, project financing and acquisition proceeds. Trace a deal from its headline revenue split to the cash the studio can actually use. Test a funding plan against player evidence, delays and a disappointing launch. Research checked 1 Nov 2026
Explore the evidence and exercises AI / Learning guide
Which parts of making, publishing and maintaining a game improve with AI, and what remains the team’s responsibility?
A faster prototype still has to become a game people want to play.
Distinguish conventional game AI, generative development tools and systems running inside a released game. Evaluate a tool from the accepted build, including integration, testing and ongoing dependencies. Separate demonstrated capabilities, corporate positions, rights questions and possible future business models. Research checked 1 Nov 2026
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