The user wants aggo-ai to not just generate queries from natural language, but also to automatically design and display adaptive, beautiful terminal UIs based on the shape of the query response, using modern terminal UI libraries.
aggo-ai can automatically generate the queries based on natural language, but what if it figured out how to pretty print it too, using whatever modern terminal ui libraries exist out there to display adaptive beautiful nested / grouped / whatever ui thats based on the shape of the response from the query to pull this off we will: 1. need to think of what tools are out there for making beautiful terminal uis effortless, and what specific components we will want to combine 2. switch to structured output for prompting the llm, docs example: ``` import OpenAI from "openai"; import { zodTextFormat } from "openai/helpers/zod"; import { z } from "zod"; const openai = new OpenAI(); const CalendarEvent = z.object({ name: z.string(), date: z.string(), participants: z.array(z.string()), }); const response = await openai.responses.parse({ model: "gpt-5-nano", input: [ { role: "system", content: "Extract the event information." }, { role: "user", content: "Alice a