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Siliqun Rotor
Give AI agents business rules before they take action
Turn customer requests into useful actions. See how Siliqun Rotor selects business tools, asks forSiliqun Rotor is a decision engine for AI agents. Connect business actions, define permissions and approval rules, and turn customer requests into decisions your application can inspect and execute. Instead of letting assistants guess what to do next, give them a structured path from request to action. missing details, or refuses requests that do not fit.
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. 🚀
About Siliqun Rotor on Product Hunt
“Give AI agents business rules before they take action”
Siliqun Rotor was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #240 on the daily leaderboard. Turn customer requests into useful actions. See how Siliqun Rotor selects business tools, asks forSiliqun Rotor is a decision engine for AI agents. Connect business actions, define permissions and approval rules, and turn customer requests into decisions your application can inspect and execute. Instead of letting assistants guess what to do next, give them a structured path from request to action. missing details, or refuses requests that do not fit.
On the analytics side, Siliqun Rotor competes within Productivity, Platformers and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Siliqun Rotor performed against the three products that launched closest to it on the same day.
Who hunted Siliqun Rotor?
Siliqun Rotor was hunted by Muhammad Arshad. 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.
For a complete overview of Siliqun Rotor including community comment highlights and product details, visit the product overview.
Muhammad Arshad