Mindset Script Refiner
Lovable AI refines visualization scripts so dancers focus; FLock captures it.
FLock Agents (Tool Use)· function calling
Section · FLock.io
full primer →The kernel.
Choreographers give a task and a FLock tool-capable model plans, calls typed tools, and returns a grounded answer for sports psychology — structured work, not a monologue.
Why this primitiveSpeaking visualizations aloud helps dancers externalize focus, which STT captures for refinement.
Kernel
FLock's tool-capable models (DeepSeek V4 Pro, Kimi K2.6, Gemini 3 Flash) with OpenAI-style `tools` on `POST /v1/chat/completions` — the model plans, calls typed tools, and returns a grounded answer
Drives the UI as
a task box that returns a structured answer or plan the user can follow, with visible tool calls
Required key.
FLOCK_API_KEY
Single API key for FLock's OpenAI-compatible endpoint — text, image, video and tool-calling agents across the whole model marketplace. Sign up at platform.flock.io, create a team, generate a key starting with sk-.
open ↗Add this in your Lovable project under Settings → Secrets before pasting the prompt below.
Appendix · Mega-prompt
The build prompt.
budget · 1 message
Paste into a fresh Lovable project. Make sure the key above is set first. read the build strategy →
Build "Mindset Script Refiner" 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 refines visualization scripts so dancers focus; FLock captures it.
Discipline: Dance & Choreography (sports psychology).
Recipe: FLock Agents (Tool Use) (function calling) as the single creative surface.
Why this kernel: Speaking visualizations aloud helps dancers externalize focus, which STT captures for refinement.
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/flock.functions.ts` that proxies the FLock 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.
- FLock.io is the only AI dependency. All API calls live inside a `createServerFn`
handler so `FLOCK_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 FLock.io Creative Hackathon organised by StreetKode Fam during Indian Krump Festival 14".
SERVER FUNCTION (src/lib/flock.functions.ts) — FLock tool use:
```ts
import { createServerFn } from "@tanstack/react-start";
import { z } from "zod";
/** Built during the FLock.io Creative Hackathon organised by StreetKode Fam during Indian Krump Festival 14 */
export const plan = createServerFn({ method: "POST" })
.inputValidator((d) => z.object({ task: z.string().min(1).max(1000) }).parse(d))
.handler(async ({ data }) => {
// Define the typed tools the model can call. Keep them small and concrete
// for sports psychology. The handler executes each tool the model asks for, then
// sends the results back so the model can finish its plan.
const tools = [{
type: "function",
function: {
name: "record_step",
description: `Record one concrete step in the plan for sports psychology.`,
parameters: {
type: "object",
properties: {
step: { type: "integer" },
title: { type: "string" },
detail: { type: "string" },
},
required: ["step", "title", "detail"],
},
},
}];
const messages: any[] = [
{ role: "system", content:
`You are a planning agent for sports psychology. Call record_step for each ` +
`concrete step, then reply with a one-sentence summary. Never invent facts.` },
{ role: "user", content: data.task },
];
const steps: Array<{step:number;title:string;detail:string}> = [];
for (let hop = 0; hop < 4; hop++) {
const r = await fetch("https://api.flock.io/v1/chat/completions", {
method: "POST",
headers: {
"x-litellm-api-key": process.env.FLOCK_API_KEY!,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepseek-v4-pro", // tools-capable
messages,
tools,
tool_choice: "auto",
}),
});
if (r.status === 402) throw new Error("FLock balance exhausted — top up at platform.flock.io.");
if (r.status === 429) throw new Error("FLock rate limited — try again in a moment.");
if (!r.ok) throw new Error(`FLock agents failed: ${r.status}`);
const j = await r.json();
const msg = j.choices[0].message;
messages.push(msg);
const calls = msg.tool_calls ?? [];
if (!calls.length) return { summary: msg.content as string, steps };
for (const c of calls) {
const args = JSON.parse(c.function.arguments);
steps.push(args);
messages.push({
role: "tool",
tool_call_id: c.id,
content: JSON.stringify({ ok: true }),
});
}
}
return { summary: "Planning stopped after 4 hops.", steps };
});
```
CLIENT: task input + "Plan it" button. Render the numbered `steps` as a list
and the `summary` under it. Show the tool calls as they resolve if you can —
that visible reasoning is the whole point of the agents kernel.
Tools-capable FLock models: `deepseek-v4-pro`, `deepseek-v4-flash`, `kimi-k2.6`,
`gemini-3-flash-preview`. Swap by changing one string.
USER FLOW (the entire app — nothing else exists)
1. Land on the page; the headline previews what the demo does for sports psychology.
2. The primary action (a task box that returns a structured answer or plan the user can follow, with visible tool calls) is one tap away; the rest of the layout supports it.
3. FLock runs the kernel server-side, the result lands on screen, the user can retry or copy.
KEY — only ONE secret is required:
1. `FLOCK_API_KEY`. Sign up at https://platform.flock.io, create a team,
generate an API key (starts with `sk-...`). Add it to Project Settings ->
Secrets. Read it only on the server via `process.env.FLOCK_API_KEY`.
Never prefix with `VITE_`, never expose to the client. One key unlocks
the entire FLock model marketplace — text, image, video, tools.
CREDIT (must appear in UI footer AND as JSDoc on the server function):
Built during the FLock.io Creative Hackathon organised by StreetKode Fam during Indian Krump Festival 14
Market sizing.
TAM
$5B
global dance industry
SAM
$50M
performance psychology
SOM
$5M
elite soloists
Indicative figures for hackathon pitches — refine with your own research before raising.
Adjacent entries.
choreographic notation
Rehearsal Whisper Live Notes
Lovable AI organizes notes so choreographers focus; FLock captures it.
musicality trainingGroove Count Transcriber
Lovable AI maps rhythms so dancers learn musicality; FLock transcribes it.
dancer recoverySomatic Echo Journal
Lovable AI designs recovery so dancers heal; FLock captures it.
movement generationImprov Motif Catcher
Lovable AI extracts motifs so creators build routines; FLock transcribes it.