{"slug": "i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free", "title": "I Built a Math AI That Verifies Its Answers. Then I Made It Free.", "summary": "A developer under the LANZAR project built Pythos, a free AI math tutor that pairs language-model explanations with deterministic verification engines—symbolic computation, algebraic checks, and domain restrictions—to independently confirm mathematical claims. The tool also includes graphing and a simulation lab, and the developer says distinguishing unverifiable claims from confirmed results remains an open engineering challenge.", "body_md": "Well, I did.\n\n**Meet [Pythos](https://pythos.lanzar.me).**\n\nI started building Pythos because I wanted to tackle a problem with AI and mathematics: language models can explain concepts beautifully, but they can also make algebra mistakes while sounding completely confident.\n\nFor students trying to learn, that matters. A convincing explanation isn't worth much if the answer is wrong.\n\nSo I started building something different.\n\nPythos combines an AI math tutor with deterministic verification engines designed to independently check mathematical claims.\n\nThe idea is straightforward: let the AI handle explanations and tutoring, while dedicated mathematical tools verify the claims they can formally prove.\n\nDepending on the problem, that can involve symbolic computation, algebraic checks, domain restrictions, and other deterministic methods.\n\nWhen a claim can't be verified, the system needs to distinguish that from a confirmed result. That's a core engineering challenge I'm continuing to work on.\n\nI didn't want to build a box that spits out answers and calls itself an educational platform.\n\nPythos also brings together graphing tools and a simulation lab, giving students ways to explore mathematical ideas and experiment with problems instead of simply copying solutions.\n\nThe bigger goal is to make it useful as a learning environment, not just an answer generator.\n\nBecause students already have enough barriers to education.\n\nI want people to be able to use these tools without another subscription standing between them and learning something new.\n\nPythos is part of my work under LANZAR. It's an ongoing project, and I'm continuing to improve the verification pipeline, tutoring behavior, and overall experience.\n\nI'm not claiming it's finished or infallible. Building a system that can reliably distinguish a correct answer from a plausible-looking mistake is an ongoing engineering problem—and one I think is worth tackling.\n\n**Pythos:** [https://pythos.lanzar.me](https://pythos.lanzar.me)\n\nI'd genuinely like feedback from developers, math enthusiasts, students, and educators.\n\nTry a difficult problem. Test the explanations. Look for edge cases. If something breaks, I want to know about it.\n\nI'm especially interested in feedback on deterministic verification, how AI tutoring should work, and what features would make this more useful in a real classroom.\n\nI built it because I thought math education tools could be better.\n\nNow I want to see what people do with it.", "url": "https://wpnews.pro/news/i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free", "canonical_source": "https://dev.to/jonscott79/i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free-43ec", "published_at": "2026-10-26 02:30:53+00:00", "updated_at": "2026-10-26 02:42:40.290041+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-tools", "ai-products", "generative-ai"], "entities": ["Pythos", "LANZAR"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free", "markdown": "https://wpnews.pro/news/i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free.md", "text": "https://wpnews.pro/news/i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free.txt", "jsonld": "https://wpnews.pro/news/i-built-a-math-ai-that-verifies-its-answers-then-i-made-it-free.jsonld"}}