MyAibo builds Next.js applications where AI is architected in from the start — generative UI, streaming responses, and LLM integration using the Vercel AI SDK, LangChain, and custom orchestration.
MyAibo builds AI-native apps with Next.js App Router, Vercel AI SDK streaming, generative UI (streamUI(), createStreamableUI()), and production AI feature integration — with evaluation, fallback, and cost monitoring designed in from sprint zero.
Retrofitted AI produces predictable problems: blocked rendering, disconnected auth/data layers, scattered prompt management, and zero cost observability. AI-native apps avoid these from first principles.
We use App Router with Server Components, Vercel AI SDK streaming and structured output (Zod-validated), multi-provider routing, and evaluation pipelines on every AI feature.
Streaming architecture makes AI features feel immediate, directly improving engagement and retention.
We use createStreamableUI() / streamUI() so the model selects and streams the right component — table, chart, form — directly to the client.
Delivers adaptive experiences that would otherwise take months to build, with higher task completion for open-ended workflows.
We add LLM tracing, token/latency monitoring, evaluation pipelines, and prompt regression testing as standard on every build.
Gives teams the data to catch underperforming features and quality regressions in the same sprint.
Gather feature requirements and define evaluation criteria.
Build the scaffold, core AI features, and generative UI components.
Deploy tracing, evaluation, and cost monitoring; test performance.
Deploy, report, and iterate based on evaluation data.