Twilight Somatic Journal

Required key.

Add this in your Lovable project under Settings → Secrets before pasting the prompt below.

Paste into a fresh Lovable project. Make sure the key above is set first. read the build strategy →

Build "Twilight Somatic Journal" as a ONE-SHOT Lovable build. The participant has only
5 credits — this single message must produce a working demo with no follow-ups.
Single-page TanStack Start app. Cut scope ruthlessly.

CONCEPT
Lovable AI structures emotional debriefs so dancers process intense rehearsals; AIsa captures a verbal cool-down journal.
Discipline: Dance & Choreography (post-class reflection).
Recipe: AIsa Chat (LLM Router) (frontier reasoning) as the single creative surface.
Why this kernel: Speaking reflections aloud while stretching helps dancers emotionally decompress without the friction of writing.

LOVABLE BUDGET (HARD CAP: ONE-SHOT, ~5 CREDITS TOTAL):
The participant has FIVE Lovable credits for the whole build. This prompt MUST
ship a working demo on the FIRST message with zero follow-ups. Engineer for that.
- ONE TanStack Start app, ONE route (`src/routes/index.tsx`). No extra pages, no auth, no nav.
- ONE TanStack server function in `src/lib/aisa.functions.ts` that proxies the AIsa call.
- ONE client surface (a textarea + button, or chat box, or prompt-to-canvas) wired to it.
- NO database, NO Lovable Cloud, NO auth, NO file uploads, NO extra integrations.
- NO tests, NO docs pages, NO settings screens, NO theming toggles.
- Libraries: template defaults + `zod`. Nothing else.
- Keep the diff small enough to land in one build pass. If a feature is not on
  screen in the user flow below, do not build it. Cut scope before adding scope.

STACK
- TanStack Start app, the index route only.
- AIsa is the only AI dependency. All API calls live inside a `createServerFn`
  handler so `AISA_API_KEY` stays on the server.
- Client surface fits the kernel: a prompt box that returns the result.
- Tailwind + shadcn. Editorial look: gold accent on a dark or warm-cream
  background, generous type, one strong headline, one primary action.
- Footer renders: "Built during the AIsa Creative Hackathon organised by StreetKode Fam during Indian Krump Festival 14".

SERVER FUNCTION (src/lib/aisa.functions.ts) — AIsa chat completions:
```ts
import { createServerFn } from "@tanstack/react-start";
import { z } from "zod";

/** Built during the AIsa Creative Hackathon organised by StreetKode Fam during Indian Krump Festival 14 */
export const ask = createServerFn({ method: "POST" })
  .inputValidator((d) => z.object({ topic: z.string().min(1).max(2000) }).parse(d))
  .handler(async ({ data }) => {
    const r = await fetch("https://api.aisa.one/v1/chat/completions", {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${process.env.AISA_API_KEY!}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        model: "gpt-4o-mini",
        messages: [
          { role: "system", content: `You are an expert helper for post-class reflection. ` +
              `Reply in friendly markdown, under 180 words, with concrete next steps.` },
          { role: "user", content: data.topic },
        ],
        temperature: 0.7,
      }),
    });
    if (r.status === 402) throw new Error("AIsa balance exhausted — top up at console.aisa.one.");
    if (r.status === 429) throw new Error("AIsa rate limited — try again in a moment.");
    if (!r.ok) throw new Error(`AIsa chat failed: ${r.status}`);
    const j = await r.json();
    return { reply: j.choices[0].message.content as string };
  });
```

CLIENT (in `src/routes/index.tsx`):
```tsx
import { useServerFn } from "@tanstack/react-start";
import { useState } from "react";
import ReactMarkdown from "react-markdown";
import { ask } from "@/lib/aisa.functions";

const run = useServerFn(ask);
const [topic, setTopic] = useState("");
const [reply, setReply] = useState<string | null>(null);
const [busy, setBusy] = useState(false);

const onAsk = async () => {
  setBusy(true); setReply(null);
  try { const { reply } = await run({ data: { topic } }); setReply(reply); }
  finally { setBusy(false); }
};
```

Use BARE model ids (e.g. `gpt-4o-mini`, `claude-3-5-sonnet`, `gemini-2.5-flash`,
`qwen2.5-72b`) — NO `openai/`, `anthropic/`, or `google/` prefix. Browse the live
list at https://aisa.one/models.

USER FLOW (the entire app — nothing else exists)
1. Land on the page; the headline previews what the demo does for post-class reflection.
2. The primary action (a prompt box or chat surface that returns markdown the user can read, copy, or act on) is one tap away; the rest of the layout supports it.
3. AIsa runs the kernel server-side, the result lands on screen, the user can retry or copy.

KEY — only ONE secret is required:
1. `AISA_API_KEY`. Sign up at https://console.aisa.one, copy the key into
   Project Settings -> Secrets. Read it only on the server via
   `process.env.AISA_API_KEY`. Never prefix with `VITE_`, never expose
   to the client. A single key unlocks chat, image, video and skills.

CREDIT (must appear in UI footer AND as JSDoc on the server function):
Built during the AIsa Creative Hackathon organised by StreetKode Fam during Indian Krump Festival 14

Market sizing.

Indicative figures for hackathon pitches — refine with your own research before raising.