Siliqun Rotor: Give AI agents business rules before they take action

Hey Product Hunt! 👋 I'm the founder of SiliQunta, and today I'm introducing Siliqun Rotor. I've spent years building business software and working with distributed systems. One problem kept coming back: software can execute operations, but understanding which operation should happen, under what conditions, and with whose permission is much harder. AI agents make this problem even more important. A chatbot can produce an impressive answer, but when a customer asks it to check a delivery, update a record, or perform a business operation, we need more than a plausible response. We need a decision that our software can inspect, validate, and act upon. That's why we're building Siliqun Rotor. It connects business actions with decision rules, permissions, approval requirements, and missing-information checks. The goal is to make AI agents genuinely useful inside everyday business operations. Our approach is influenced by the distinction between fast pattern-driven decisions (System 1) and deliberate reasoning (System 2). We want both capabilities, while keeping actual business execution governed by explicit rules. This is an early step in a larger journey. I'd particularly love feedback from developers, SaaS founders, and teams building AI agents: What's the hardest part of moving your AI assistant from answering questions to reliably taking business actions? Thanks for checking out Siliqun Rotor. 🚀