{"slug": "i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me", "title": "I Asked AI “What’s a Profitable Niche?” and It Built a Playable Demo Video for Me Overnight.", "summary": "A developer used an AI assistant overnight to generate a playable minimum viable product for a cooperative mystery game, including a narrated demo video, puzzle timer, answer reveal, background music, and captions, plus a rough sales strategy. The developer reports that the AI handled roughly 80% of the tedious work, but that scenario refinement, fun-factor and logic checks, sales-page setup, payment integration, and marketing still require human effort.", "body_md": "I often brainstorm new ways to monetize my skills outside of my main job. But starting with market research, then planning, then building a prototype… it always feels like a heavy lift.\n\nSo recently, I decided to use AI as a sounding board. Honestly, I didn't expect much. It started late one night when I, in a burst of sleep-deprived inspiration, threw out a very vague question: \"What's a profitable blue ocean idea?\"\n\nThe AI's initial answers were predictably generic: \"blogging,\" \"affiliate marketing,\" \"selling skills.\" That wasn't going anywhere, so I gave it a bit more context about my situation:\n\nAdding these conditions made the AI's suggestions more specific. A direction for \"one-off digital content\" started to emerge. After a few more exchanges, the AI finally proposed a \"cooperative mystery game where the organizer just plays a video\" as the core idea.\n\nThe concept: participants team up to solve a mystery at events like wedding parties or company get-togethers. The selling point is ease of use for the organizer, who just projects a dedicated video. Hmm, that's a one-time purchase, no inventory. Not bad.\n\n\"Sounds interesting,\" I replied. The AI then asked, \"Shall we proceed with this plan?\" It was late, so I responded almost on autopilot: \"Let's do it. I'm going to bed, so do what you can.\" Then I closed my laptop.\n\nThe next morning, I checked the AI's notifications and was genuinely surprised. Overnight, it had built a complete, truly playable Minimum Viable Product.\n\nThe generated files included:\n\nPlaying the video, it clearly narrated the incident in Japanese, displayed a consultation timer during the puzzle-solving parts, and even included an answer reveal section at the end. Simple background music and captions were present, making it almost usable as-is for an event.\n\nWhat surprised me even more was that it didn't stop there.\n\nThese were also provided. From ideation to prototype development, and even a rough sales strategy – the AI had sprinted through it all in one night. I hadn't expected such concrete output just by vaguely saying \"do what you can\" before bed.\n\nOf course, what the AI produced isn't perfect. The video is just a demo, and it needs quality improvements to be sold as a product. There are many areas I'd want to refine: BGM selection, caption design, narration nuances, etc.\n\nAlso, this is just the first scenario. To develop it into a product, I'd need to produce multiple scenarios. While AI could assist with scenario creation, checking for fun factor and logical consistency ultimately falls to a human.\n\nSetting up the sales page, integrating payment systems, and actual marketing. Even with AI-generated drafts, executing these falls to me. Even if AI handles 80% of the tedious work, the final 20% of refinement and getting it out into the world still requires human touch.\n\nWhat I learned from this experience is that brainstorming with AI can start with just \"throwing out a rough idea.\" From there, through dialogue, communicating your skills and constraints will significantly improve the accuracy of its suggestions.\n\nIf you're looking for new ideas, try asking AI this:\n\n**\"Can you create the simplest possible prototype (MVP) for (your idea)?\"**\n\nInstead of just idea documents or text, try getting it to create \"something dynamic\" like a video or a tool, as it did for me. This transforms an idea you've only considered in your head into a concrete form, making your next steps much clearer.\n\n*I build and run small Python systems — trading bots, RAG APIs, scheduled automation — and write up whatever breaks along the way.*\n\n*If a provider-agnostic RAG Q&A API is useful to you, mine is MIT-licensed on GitHub: [rag-faq-api](https://github.com/masaoshimadaOpen/rag-faq-api). It runs and passes its full test suite **with no API key** (offline stub LLM + hashing embedder), swaps to Claude / Gemini / OpenAI via one env var, and ships a retrieval-quality harness (Hit@k / MRR / Recall@k) with a chunking sweep.*", "url": "https://wpnews.pro/news/i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me", "canonical_source": "https://dev.to/masaoshimadaopen/i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me-overnight-3j26", "published_at": "2026-10-16 23:30:26+00:00", "updated_at": "2026-10-16 23:57:03.964065+00:00", "lang": "en", "topics": ["generative-ai", "ai-tools", "ai-products"], "entities": ["Claude", "Gemini", "OpenAI", "GitHub"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me", "markdown": "https://wpnews.pro/news/i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me.md", "text": "https://wpnews.pro/news/i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me.txt", "jsonld": "https://wpnews.pro/news/i-asked-ai-whats-a-profitable-niche-and-it-built-a-playable-demo-video-for-me.jsonld"}}