Proxy Pair Inspector
Paste proxy and source-file manifests, and Jev checks for mismatched duration, frame rate, and naming so the app flags unsafe offline-edit pairs.
Noul Check· yes/no probability
Section · Jev
full primer →The kernel.
Jev answers a short checklist of yes/no questions about Media management for videographers, each as a probability, and simple rules turn them into pass, review or fail.
Why this primitiveIndependent metadata checks detect pairing risks with explicit outcomes instead of ambiguous explanations.
Kernel
several independent Jev `noul` questions (one per condition) asked together over the same state, combined by explicit code rules
Drives the UI as
a checklist of conditions, each with a 0-1 probability meter and a pass / review / fail colour from code-owned thresholds
Required key.
TYPESAFE_API_KEY
Your TypeSafe key. The mega-prompt asks for it with a secure form and keeps it on the server. Jev returns typed decisions: choice, noul (yes/no probability) and score.
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 "Proxy Pair Inspector" as a ONE-SHOT Lovable build (~5 credits, no follow-ups).
Single-page TanStack Start app, one route, cut scope ruthlessly.
THIS PROMPT IS SELF-CONTAINED
Do not assume the participant knows Jev or has read any other page. TypeSafe Jev is a decision model,
not a text generator. It receives `state` plus a map of typed `questions` and returns JSON that code can
use directly. Use Choice to select exactly one defined option, Noul for a yes/no probability from 0 to 1,
and Score for a probability-weighted position across ordered levels. Keep rules, thresholds, arithmetic,
and actions in code. Use a generative model only if the product separately needs prose.
CONCEPT
Paste proxy and source-file manifests, and Jev checks for mismatched duration, frame rate, and naming so the app flags unsafe offline-edit pairs.
Discipline: Videography & Film (Media management).
Jev pattern: Noul Check (yes/no probability) — several independent Jev `noul` questions (one per condition) asked together over the same state, combined by explicit code rules.
Why typed decisions: Independent metadata checks detect pairing risks with explicit outcomes instead of ambiguous explanations.
ENGINE: TypeSafe Jev (typed decisions, not text)
- Before writing code, ask the participant for `TYPESAFE_API_KEY` with Lovable's secure secret form. Never
ask them to paste it into chat, never prefix it with `VITE_`, and never expose it to browser code.
- Put the callable server function in `src/lib/jev.functions.ts`; do not import a server-only module from UI code.
- Validate the user's input before the handler and read `process.env['TYPESAFE_API_KEY']` inside the handler.
- From the server, call:
POST https://api.typesafe.ai/v1/systemone
Authorization: Bearer <TYPESAFE_API_KEY>, Content-Type: application/json
body: { "model": "jev-latest", "state": <Proxy and source-file manifest rows>, "questions": QUESTIONS }
- Ask all questions in ONE request (they run in parallel and cannot see each other).
- Read Choice from `answers[id].choice`, `.probabilities`, and `.confidence`; Score from `.score`,
`.probabilities`, `.legend`, and `.confidence`; Noul from `.noul` only (it has no separate confidence).
SERVER IMPLEMENTATION (adapt the input name and result mapping to this concept)
```ts
import { createServerFn } from "@tanstack/react-start";
import { z } from "zod";
const Input = z.object({ text: z.string().trim().min(1).max(20000) });
export const decide = createServerFn({ method: "POST" })
.inputValidator((input: unknown) => Input.parse(input))
.handler(async ({ data }) => {
const apiKey = process.env['TYPESAFE_API_KEY'];
if (!apiKey) return { ok: false as const, status: 500, message: "TYPESAFE_API_KEY is not configured." };
const requestBody = {
model: "jev-latest",
state: { text: data.text },
questions: QUESTIONS,
};
let response: Response | undefined;
for (let attempt = 0; attempt < 3; attempt += 1) {
response = await fetch("https://api.typesafe.ai/v1/systemone", {
method: "POST",
headers: { Authorization: `Bearer ${apiKey}`, "Content-Type": "application/json" },
body: JSON.stringify(requestBody),
});
if (response.ok || (response.status !== 429 && response.status < 500)) break;
if (attempt < 2) await new Promise((resolve) => setTimeout(resolve, 750 * 2 ** attempt));
}
if (!response) return { ok: false as const, status: 503, message: "Jev did not respond." };
if (!response.ok) {
const message = (await response.text()).slice(0, 500) || `Jev request failed (${response.status}).`;
return { ok: false as const, status: response.status, message };
}
const result = await response.json();
return { ok: true as const, answers: result.answers };
});
```
In the page component, call `decide` with `useServerFn`, preserve the participant's input while loading or
on error, disable duplicate submissions, and render the returned typed values rather than parsing prose.
QUESTIONS (start here, refine wording if needed)
{
"duration_mismatch": {
"type": "noul",
"instructions": "Does a proxy duration conflict with its source duration?",
"criteria": {
"true": "The recorded durations differ beyond the stated tolerance.",
"false": "Durations match or no discrepancy is indicated."
}
},
"rate_mismatch": {
"type": "noul",
"instructions": "Does a proxy frame rate conflict with its source frame rate?",
"criteria": {
"true": "The listed rates differ in a way that risks sync or playback issues.",
"false": "The listed rates match or are compatible."
}
},
"name_pair_uncertain": {
"type": "noul",
"instructions": "Is the proxy-to-source pairing ambiguous from the manifest?",
"criteria": {
"true": "Names or identifiers could refer to multiple source files.",
"false": "The pairing is uniquely indicated."
}
}
}
DECISION RULES (in code, not in the model)
- choice/score: if confidence < 0.6 show a "needs review" badge instead of acting.
- noul: >= 0.75 = yes, <= 0.25 = no, otherwise "review".
- score: normalise with score / (levels - 1) before combining with weights.
- Missing or malformed answers go to review. Show safe HTTP status and message in the UI. Retry only 429/5xx,
at most twice with increasing delay; never retry 400/401/402/403/404 and never invent results.
- If the product needs prose (a summary, a message), use Lovable AI for that text only; Jev makes the decisions.
UI
a checklist of conditions, each with a 0-1 probability meter and a pass / review / fail colour from code-owned thresholds. Include 2 sample inputs as one-click chips so the demo works instantly.
Tailwind + shadcn, editorial look, footer: "Built during the Creative AI & Quantum Hackathon organised by StreetKode Fam during Indian Krump Festival 14".
NO database, NO auth, NO extra pages, NO tests.
BEFORE YOU FINISH
- Run the app and test both sample inputs through the real server function.
- Confirm the browser receives no API key and no fabricated fallback result.
- Confirm Choice/Score confidence and Noul probability drive the stated review rules.
- Confirm loading, success, review, empty-input, and service-error states are readable on mobile.
Reference only if needed: https://docs.typesafe.ai/api and https://docs.typesafe.ai/primitives
Market sizing.
TAM
TAM $2.2B media asset management
SAM
SAM $430M post-production media workflows
SOM
SOM $3M editing teams
Indicative figures for hackathon pitches — refine with your own research before raising.
Adjacent entries.
Edit review
Rough Cut Rescue
Paste a rough-cut note and scene list, and Jev checks for pacing, continuity, and coverage risks that the app combines into a review-priority queue.
Continuity managementScene Match Scout
Paste scene notes and shot descriptions, and Jev checks for mismatched time, wardrobe, and props before the app flags scenes for review.
Production soundAudio Take Gate
Paste take logs and sound notes, and Jev checks for clipping, noise, and dialogue intelligibility so the app can flag takes for listening.
Documentary editingB-Roll Coverage Check
Paste a script outline and available B-roll list, and Jev checks for unsupported claims, missing visual coverage, and redundant shots before the app highlights gaps.