AGINE Academy makes learning Claude a story-driven game. You finish real missions inside Claude, from Desktop automations to Claude Code and your own products, with an AI mentor kept to each lesson. Every lesson leaves you a working result.
We built a game for learning Claude.
AGINE Academy started with a problem we kept seeing: people watch AI tutorials, save a few prompts, and still freeze when they open an empty chat.
We wanted learning Claude to feel like moving through a story, not sitting through another course. You complete short practical tasks and level up UNIT, a robot companion that grows as you learn. Every lesson ends with something you keep: a working tool, an automation, a configured skill.
It starts at installing Claude Desktop and goes all the way up: Artifacts and Projects, connectors for your inbox and calendar, assistants and plugins, Claude Code, content, and building your own sites and products. 77 lessons so far, the first one is free and you can start without signing up.
There's an AI mentor inside each lesson, but it's deliberately restricted to the current topic. We learned the hard way that a clever answer is useless when it has nothing to do with what the student is trying to finish.
Students have already built real things with it — a marketplace CRM that auto-replies to reviews, AI sales agents on amoCRM, content factories, morning briefs that run on a schedule.
Start with the free lesson: https://academy.agineai.com/
We're especially interested in where the game helps you keep going and where it gets in the way. If anything feels slow, confusing, or unnecessary, tell us directly.
How do the tasks get graded? An open prompt has a hundred passable answers, so if a model is scoring them, players quietly learn what the grader likes rather than what works. We ran an LLM judge over our own agent output for a few weeks and it turned out to be rewarding longer answers, which took ages to spot because the scores looked healthy the whole time. Is UNIT leveling up against a rubric you wrote, or against a model's opinion?
Learning-by-doing through a story framework is a smart way to teach something as open-ended as agentic coding — most tutorials just walk through static examples that don't transfer well to real, messy codebases. I've been building my own product with Claude Code this month, and the actual skill gap isn't syntax, it's learning to write context-rich prompts and briefs. Curious how much of the game focuses on that "how to talk to the agent" skill versus more traditional coding concepts.
Story-driven learning for AI tools is actually smart approach, way more engaging than docs or tutorial videos. Is the content focused on Claude specifically or will it cover other models too?
Love this idea, I think you could introduce a lot more non-tech oriented users to Claude this way, or any other AI tools for that matter.
Learning by doing through a story format is a smart way to lower the intimidation factor of picking up Claude. How much of the "story" adapts based on what the learner actually does, versus being a fixed narrative path?
The story-driven angle is great here. Making people finish real Claude tasks instead of just collecting prompts feels much closer to how this stuff actually sticks.
Also like the choice to keep the AI mentor scoped to the lesson. That constraint probably matters more than it sounds.
The "AI mentor restricted to the current topic" choice is smart most learn by doing tools let the AI just solve the task for you, which defeats the point. Curious how strict that restriction is in practice: if someone's stuck on lesson 12 because of something they misunderstood back in lesson 3, does UNIT nudge them back to review, or just stay silent on anything outside scope?
Also you mention students already shipped real things (marketplace CRM, sales agents on amoCRM). Are those built during the course itself, or do people finish the 77 lessons and then go build separately? Curious how much of "shipping something real" happens inside the game vs. after it.
About AGINE Academy on Product Hunt
“A story-driven game for learning Claude by doing ”
AGINE Academy launched on Product Hunt on July 22nd, 2026 and earned 106 upvotes and 9 comments, placing #19 on the daily leaderboard. AGINE Academy makes learning Claude a story-driven game. You finish real missions inside Claude, from Desktop automations to Claude Code and your own products, with an AI mentor kept to each lesson. Every lesson leaves you a working result.
AGINE Academy was featured in Productivity (656.7k followers), Education (78.9k followers) and Artificial Intelligence (474.3k followers) on Product Hunt. Together, these topics include over 287.5k products, making this a competitive space to launch in.
Who hunted AGINE Academy?
AGINE Academy was hunted by Konstantin Konovalov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Konstantin Konovalov