I built AQQAI to stop live AI agents from hallucinating, breaking math rules, or crashing software runtime pipelines. It intercepts outputs in background sandboxes under a second, verifying data before a single pixel ever reaches a user's screen.
What real task does your product handle with GPT-6 Astra?
Maker
AQQAI handles real-time, pre-execution validation and containment for GPT-6 Astra workflows. While Astra introduces deep reasoning, autonomous agents still suffer from non-deterministic code bugs, mathematical drift, and broken JSON syntax. My product acts as an inline proxy gateway that intercepts Astra's output payloads in under a second. We compile and test generated code strings inside isolated Docker sandboxes and enforce symbolic math boundaries, trapping execution errors and applying automated overrides before they can crash downstream databases or escape to a user's screen
Report
Maker
📌
"Hey Product Hunters! 🚀
I’m Vineet , the solo builder behind AQQAI. Moving generative AI models into live production setups is an incredible operational hurdle—they carry an unbreakable baseline hallucination floor of 1.5% to 3.3%. A single unverified decimal drift or syntax break can crash an enterprise database or trigger severe legal liabilities.
Traditional MLOps log tools only track bugs after they escape. I wanted to build an active, real-time barrier. AQQAI acts as an invisible proxy layer that intercepts outputs in under a minute. We decouple errors across independent model streams, run code loops inside isolated Docker sandboxes, and force symbolic math limits to guarantee 100% clean data formatting before delivery.
The sandbox dashboard is open and fully operational at https://demo.aqqai.in/. I would love to hear your technical feedback, thoughts on the architecture, and answer any systems engineering questions you have! Let’s build a deterministic trust layer for autonomous tech together."