And it needs deep extensibility. Users and AI must be able to write extensions that access the system’s internals, building custom tools, automation, and domain-specific reasoning engines. This is already happening: AI agents build their own proof strategies on top of the platform. The platform adapts to its users, not the other way around.
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the engine is open source and available as a nuget package. try it out, play with the web app, and if you find bugs or have ideas, let us know. the paper is available at POPL 2025 for those who want the full formal treatment.