MILES GERMER · TECHNICAL ARTIST · CINEMATIC SYSTEMS · AI-AUGMENTED PRODUCTION
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The Engine Turn — A Second Game From the Playbook

A second, different card game, taken to a playable, legible build in a single day by running my design-process playbook as standing AI context. The proof the method transfers.

The Engine Turn card-game prototype in play
01 · Problem

A methodology is only proven when it works across multiple projects. Can the same process build a different game, fast, without me carrying it by hand? Rift Fighters was the first cycle. This is the second.

02 · What I did

I took a second, unrelated card game, The Engine Turn, from nothing to a playable, legible build in a single day, by loading my design-process playbook into an AI thread as standing context and letting it run the same phases: requirements contract, core-loop model, playable prototype, legibility pass. The playbook encodes the operating rules, the dependency order, and the decision trees that the first game taught me. Here I was testing the playbook itself.

It held. The build reached "designer playtesting a legible build" the same day, and the expensive early rounds were, exactly as the playbook predicts, almost entirely comprehension work rather than balance. The automated natural-play drivers the process mandates caught real design flaws (a dead initiation branch, a stall, a deadlock from a new gate) before any human playtested them.

03 · Credits
Design direction, the playbook, the day's decisions and playtestingMiles Germer
Implementation and the verification harness, run against the playbook as contextAI (Claude and others)
Self-contained HTML build (1.7.1)No engine, no install
04 · AI's role

This is the entry where the AI ran a process I designed. I did not re-explain how to build a card game; I handed it the playbook and made the game-specific calls it asked for. The model executed the phases, wrote the harness, and surfaced the design flaws its own natural-play drivers found. My job was the design decisions and the playtest judgment; the process carried the rest.

05 · Result

A second playable game in a day, and proof that the method is not a one-off. The value is not this particular game. The playbook transferred to a new problem, and that transfer is the whole thesis of how I work.

06 · What I learned

Writing the process down well enough that an AI thread could run it is what turned my way of working into a transferable asset. The second game was faster than the first for exactly that reason.