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Blocks: Turning Natural Language into Production-Grade React Components
Learn how to convert natural‑language prompts into production‑ready React components that fetch data, handle states, use Zod schemas, and integrate via an orchestrated, observable pipeline.
In this talk, I’ll share how I built Blocks, a system inside Paid.ai that transforms natural language into production-ready React components. Blocks are not just code snippets, each one is a self-contained module (React + CSS) that:
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Fetches and normalizes real data
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Handles loading, error states, and null-safety
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Applies consistent conversions (currency, dates, booleans)
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Stays composable within a larger design system
I’ll walk through the architectural migration from a brittle, endpoint-based pipeline to an agentic, orchestrated system powered by modular tools, Zod schemas, and real-time telemetry. The session will cover the orchestrator design, workflow composition (ClickHouse queries, SQL persistence, and component generation), and the guarantees that make Blocks safe, predictable, and fast to ship.
Attendees will also see examples of Blocks in action: from a natural language prompt, through schema-validated toolchains, to a drop-in UI component.
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