Strategy, finance, operations, negotiation, hospitality & tourism, sustainability, and AI — each simulation a single self-contained file, in English and Spanish, with no backend, no account, and no tracking. Free for personal use, forever — with licensed, class-ready runs when you want to teach with them.
Read this page as a case. It's written for business school professors, about a business school problem: what should a simulation company do when AI pushes the marginal cost of its core product toward zero? Exhibits below. Discussion questions at the end. The protagonist is us.
Not long ago, a professor evaluating our platform showed us something instead: a working prototype of a teaching simulation she had built with an AI assistant, in an afternoon, for free. It was rough. It was also good enough to teach with — and a year earlier it would have taken a vendor like us weeks and a five-figure budget to deliver.
She was right about where this is going. Content that once justified per-seat licenses is becoming something a motivated instructor can conjure on demand. Faced with that, a content vendor has two options: defend scarcity with lawyers and paywalls, or accept abundance and move to where value is actually going.
We chose abundance. This catalog — 150 reviewed, tested, bilingual simulations from a 1,600+ library — is what that choice looks like.
You teach this. Information goods price toward marginal cost; when a core input gets cheap, profits migrate to the complements that stay scarce. For twenty years, business simulations dodged that logic because production was genuinely hard — custom software, months of development, specialist teams. AI ended the dodge. Here is our own data.
What a downloaded file still can't do:
Content is free. Orchestration, trust, and evidence are the product. So is your judgment — the debrief was never in the file.
References, for the reading list: Shapiro & Varian, Information Rules (1999) · Teece, "Profiting from Technological Innovation" (1986) · Christensen, The Innovator's Dilemma (1997) · Shirky, Here Comes Everybody (2008) · Casadesus-Masanell & Ghemawat, "Dynamic Mixed Duopoly" — on competing with free (2006) · Agrawal, Gans & Goldfarb, Prediction Machines (2018) — when prediction gets cheap, value shifts to judgment · Dell'Acqua et al., "Navigating the Jagged Technological Frontier" (2023) — which we turned into simulation #2027, naturally.
Every card in the player deep-links (player/?sim=015), filters by category and level, switches EN/ES live, and exports the session log for your debrief prep.
"AI slop" is a fair worry — the answer is a process you can audit, not a promise you can't. Nothing ships to this catalog without passing all three gates, and community contributions go through the identical pipeline.
Every simulation is reviewed against a defect checklist built from real failures — scoring that ignores decisions, round desyncs, untranslated strings, broken constraints — then fixed, re-verified, and version-bumped. The review is the constraint on how fast this catalog grows, by design.
Zero JS errors, full round-trips, scores that react to decisions. Run it yourself on any sim:
cd player/test npm install jsdom node headless_replay.js 015
A human plays the sim and checks the pedagogy: decisions must matter, feedback must teach. Fixes and versions are tracked in the open — see CONTRIBUTING and GOVERNANCE. Professors who adopt and review get named credit as curators.
Plainly: everything here is free for personal use — play, evaluate, adapt. Classroom and institutional deployment is commercial use under the NC clause and takes a class license. The path:
Browse the catalog, play a sim end-to-end yourself (10–90 minutes), check the built-in hints and final performance summary. No account, no install — it even runs offline from a USB stick.
Play contrasting strategies and export the session logs — that's your debrief raw material. Draft the discussion questions, time the rounds, check both languages. Every question about fit gets answered before a cent is spent.
Teaching with it is the licensed part: cohorts, teams and competition, LTI inside Moodle/Canvas/Blackboard, decision analytics, auto-debrief and grade passback — Eureka runs it for you, class-ready. Class runs are what keep the open catalog alive.
Assign this page. It's CC-licensed like everything else here. Suggested questions:
Want the instructor's version of this argument, with the data behind Exhibits A–C? Talk to us — or better, license a class run and watch what your students do with it.
