TARVIS Quantum Lab Assistant – 13th Chamber LLC



https://js.puter.com/v2/

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13th Chamber LLC · Quantum Lab

TARVIS AI – Quantum Assistant Console

TARVIS is your **gateway** between classical browsers, Puter.js cloud, and
live IBM Quantum hardware via Q.GENESIS, QSAM, SCORE, ESCORT, and QELS.
She listens to user intent, fetches and confirms sources, and relays
missions to the 13th Chamber Quantum Lab.

Frontend: Puter.js keyless AI & fetch
Backend: Q.GENESIS · IBM ibmtorino · QSAM
Mode: No custom API server required


Ask TARVIS

Type a mission, hypothesis, or quantum job description. TARVIS uses
Puter’s local AI stack to reason, optionally perform web search, and
then hand off structured tasks to your Genesis quantum layer.

Mission / question


TARVIS output will appear here once Puter’s AI models respond.
Powered by Puter.ai.chat()
Optional web search via Puter AI

Source Fetch & Confirmation

TARVIS can fetch pages and JSON from any http/https endpoint using
puter.net.fetch, bypassing CORS. Use this to verify documentation,
job status endpoints, or lab manifests before launching quantum runs.

URL to fetch


Fetched headers / snippet will appear here. TARVIS then can summarize
and confirm if this source matches your requested mission.
puter.net.fetch() for CORS-free fetch
TARVIS confirmation via AI chat

Quantum Lab Handoff

Once a mission is approved, TARVIS emits a structured payload that
your local Q.GENESIS bridge can listen for (via WebSocket, HTTP, or
file drop) to run real IBM Quantum jobs on ibmtorino and your other
backends.

No mission yet. After TARVIS reasoning completes, this panel will
show a JSON-like payload for your Genesis relay to consume.
Genesis: QSAM · SCORE · ESCORT · QELS
Hardware: IBM ibmtorino · Kingston · Marrakesh

TARVIS AI is an experimental interface for the 13th Chamber Quantum Lab,
connecting browser-based users to quantum workflows defined in Q.GENESIS
ULTIMATE. All real quantum execution remains under your existing IBM
Quantum Cloud credentials and Genesis orchestration.

Frontend stack: Puter.js (AI, fetch, storage) · Plain HTML/JS.
Backend stack: Your Dell/Comet bridge, Q.GENESIS JSON manifests, IBM
Quantum backends configured in your lab environment.

// Basic safety: check that Puter is available.
function getPuter() {
if (typeof puter === “undefined”) {
return null;
}
return puter;
}

const promptEl = document.getElementById(“tarvis-prompt”);
const aiOutEl = document.getElementById(“tarvis-ai-output”);
const genesisPayloadEl = document.getElementById(“tarvis-genesis-payload”);
const urlEl = document.getElementById(“tarvis-url”);
const fetchOutEl = document.getElementById(“tarvis-fetch-output”);

async function runTarvisChat(useWebSearch) {
const p = getPuter();
const text = (promptEl.value || “”).trim();
if (!p) {
aiOutEl.textContent =
“Puter.js is not available. Ensure the CDN script is loaded and this page is served over https.”;
return;
}
if (!text) {
aiOutEl.textContent =
“Enter a mission or question for TARVIS first.”;
return;
}

aiOutEl.textContent = “Running TARVIS reasoning via Puter.ai.chat…”;

try {
// Basic chat call; you can later add options for provider/model.
let fullPrompt = text;
if (useWebSearch) {
fullPrompt =
“Use web search tools where helpful, then respond as TARVIS, ” +
“the 13th Chamber Quantum Lab assistant. ” +
“User mission:\n” + text;
}

const reply = await p.ai.chat(fullPrompt);
// For many providers, reply is a string; some may return objects.
aiOutEl.textContent =
typeof reply === “string” ? reply : JSON.stringify(reply, null, 2);

// Emit a simple Genesis payload TARVIS would hand off to your bridge.
const payload = {
tarvis_version: “0.1”,
timestamp: new Date().toISOString(),
mission_prompt: text,
use_web_search: useWebSearch,
suggested_plan: typeof reply === “string” ? reply : null,
// You can extend this with tags: awareness, cancer, cryptanalysis, etc.
target_backends: [“ibmtorino”],
frameworks: [“QSAM”, “VQE”, “QAOA”, “ESCORT”, “QELS”],
status: “READY_FOR_GENESIS_HANDOFF”
};
genesisPayloadEl.textContent = JSON.stringify(payload, null, 2);
} catch (err) {
aiOutEl.textContent =
“Error calling Puter.ai.chat: ” + (err && err.message ? err.message : String(err));
}
}

async function runTarvisFetch() {
const p = getPuter();
const url = (urlEl.value || “”).trim();
if (!p) {
fetchOutEl.textContent =
“Puter.js is not available. Ensure the CDN script is loaded.”;
return;
}
if (!url) {
fetchOutEl.textContent = “Enter a URL for TARVIS to fetch.”;
return;
}

fetchOutEl.textContent = “Fetching via puter.net.fetch(” + url + “)…”;

try {
const res = await p.net.fetch(url);
const text = await res.text();

const snippet = text.slice(0, 1600);
fetchOutEl.textContent =
“Status: ” + res.status + ” ” + res.statusText + “\n\n” +
“First 1600 characters:\n\n” + snippet;
} catch (err) {
fetchOutEl.textContent =
“Error fetching via Puter: ” + (err && err.message ? err.message : String(err));
}
}

async function runTarvisConfirm() {
const p = getPuter();
const url = (urlEl.value || “”).trim();
const context = fetchOutEl.textContent || “”;
if (!p) {
fetchOutEl.textContent =
“Puter.js is not available. Ensure the CDN script is loaded.”;
return;
}
if (!url || !context) {
fetchOutEl.textContent =
“Fetch a source first, then ask TARVIS to confirm.”;
return;
}

fetchOutEl.textContent =
“Running TARVIS confirmation on fetched content…”;

try {
const prompt =
`You are TARVIS, the 13th Chamber Quantum Lab assistant.

The user fetched this URL: ${url}

Here is the beginning of the content:
${context.slice(0, 1200)}

1. Summarize what this source appears to be.
2. State whether it looks relevant to quantum lab operations, IBM Quantum docs, or 13th Chamber assets.
3. Flag any potential mismatch or risk.`;

const reply = await p.ai.chat(prompt);
fetchOutEl.textContent =
typeof reply === “string” ? reply : JSON.stringify(reply, null, 2);
} catch (err) {
fetchOutEl.textContent =
“Error during TARVIS confirmation: ” + (err && err.message ? err.message : String(err));
}
}

document.getElementById(“btn-ai-chat”)
.addEventListener(“click”, () => runTarvisChat(false));
document.getElementById(“btn-ai-web”)
.addEventListener(“click”, () => runTarvisChat(true));
document.getElementById(“btn-fetch”)
.addEventListener(“click”, runTarvisFetch);
document.getElementById(“btn-confirm”)
.addEventListener(“click”, runTarvisConfirm);