GetsFlow - AI Business OS with self-healing TSX codegen

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An AI Business Operating System built in Ankara, Turkey. Backed by a high-security defense industry client, GetsFlow automates complex enterprise workflows. Our core engine, Tessera AI, features a 2-step human-in-the-loop discovery process, restricted browser-side TSX sandbox compilation, and an autonomous self-healing loop that fixes code generation drift instantly. Completely bootstrapped and production-ready for heavy industries.

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Hey Product Hunt community! 👋 I’m Yigithan, founder of GetsFlow. We are bootstrapping this platform from Ankara, Turkey (the defense and deep-tech hub of the country) with zero seed funding or marketing millions. Traditional ERPs and MES systems for heavy industries are rigid, slow, and incredibly painful to customize. We built GetsFlow as an AI Business Operating System that generates production-ready UI and custom database layers live on the browser, tailored to each factory's exact operational needs. The system is already proven, live, and running in production for a high-security defense industry client. Here is what's under the hood of our core engine, Tessera AI: 1. 2-Step Human-in-the-Loop Discovery: Instead of writing code blindly from weak text prompts, Tessera asks max 4 questions, generates a plain text plan for 1st consent, designs visual mockups for 2nd consent, and only then codes. 2. Strict TSX Codegen Sandbox: We route difficult tasks to top-tier models to write single-page TSX code. Our browser-side validator blocks fetch, eval, require, and dynamic imports. It only executes from a strictly whitelisted UI and local data layer (@/lib/tessera-data). 3. Self-Healing Compilations: If browser-side compilation fails, our TesseraErrorBoundary catches it, logs the exact console/diff error back to the model, and attempts a fix. If the drift persists, it halts compilation to protect token budgets. 4. Tenant-Isolated Data Layers: Tables are provisioned with automated PostgreSQL Row-Level Security (RLS) bound to tenant IDs. We’re here today to show that robust, secure, otonom AI engineering can run safely in high-stakes enterprise environments. I’d love to hear your thoughts on our browser-side sandbox model and how you deal with LLM code-generation drift in your own apps. Ask me anything! 🚀