A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Production agents bleed tokens and latency on repeated queries. Pair a managed model layer with a vector-indexed data layer at the edge, and an 80% cache hit rate cuts LLM spend by 80% while delivering sub-100ms responses on semantically similar requests.
Harper bridges the gap between business agility and IT security. Utilizing a unified runtime, Harper Fabric guarantees data sovereignty across any environment, from public clouds to air-gapped facilities. Empower users with secure, compliant AI application development and robust governance.
Harper offers a unified application platform alternative to Vercel + Supabase, combining database, cache, app logic, messaging, vectors, and real-time capabilities in one globally distributed runtime to reduce latency, operational complexity, and total cost of ownership.
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