How are you actually using AI in board game design, if at all, and where do you draw the line?
I searched a few older threads here and in related board game design communities before posting this, and one thing that stood out to me is that “AI in board game design” is not really one topic. It seems to be several different topics that often get mixed together.
From what I found, the discussion often seems to collapse into “AI art: yes or no?”, but I’m curious about the broader workflow question. I’ve seen a few recurring distinctions come up:
- temporary prototype art vs. final/published art
- rules editing vs. having AI design the game for you
- brainstorming prompts vs. outsourcing creative decisions
- AI-assisted playtesting/simulation vs. human playtesting
- private prototypes vs. pitching, crowdfunding, or selling a game
- disclosure/transparency when AI is involved
For context, I’ve been experimenting with AI in parts of my own board game design workflow. Mostly things like tightening rules text, checking whether a rule explanation is ambiguous, generating edge-case questions, brainstorming terminology, and making rough prototype visuals based on my own sketches or ideas.
At the same time, my current feeling is that board game design is still an entertainment medium built around the emotional experience of play. AI can suggest directions, variations, mechanisms, edge cases, or wording improvements, but I don’t think it can meaningfully judge whether a game is actually fun to play, at least not in the way humans experience fun at the table. A rule idea can sound good in text and still fall completely flat once people actually play it.
So I don’t see AI as a replacement for designers, artists, editors, or playtesters. I see it more as a tool that can help me think through options faster, while the real test is still human play, table feel, and whether people actually enjoy the experience.
I’m more interested in the practical boundaries people actually use.
For designers who use AI:
What do you use it for?
What has been genuinely useful?
What turned out to be misleading, low-quality, or not worth it?
Where do you personally draw the line?
For designers who avoid AI:
Is your concern mainly ethical, legal, creative, quality-related or something else?
Are there any uses you consider acceptable, such as rules proofreading, placeholder assets, brainstorming, or accessibility support?
I’m especially curious whether people treat these cases differently:
- AI for private solo prototyping
- AI for playtest materials shown to other people
- AI for publisher pitches
- AI for crowdfunding
- AI for final commercial products
I’d love to hear how people are thinking about this in practice.