Sessionize AI detector

Check if a session is AI generated in Sessionize (using Winston AI)

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Userscripts to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install a user script manager extension to install this script.

(I already have a user script manager, let me install it!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(I already have a user style manager, let me install it!)

// ==UserScript==
// @name         Sessionize AI detector
// @namespace    http://tampermonkey.net/
// @version      2024-08-17
// @license      Apache 2.0
// @description  Check if a session is AI generated in Sessionize (using Winston AI)
// @author       Sebastiano Poggi
// @match        https://sessionize.com/app/organizer/event/evaluation/*
// @icon         https://www.google.com/s2/favicons?sz=64&domain=sessionize.com
// @grant        GM_addStyle
// @grant        GM_xmlhttpRequest
// @connect      api.gowinston.ai
// ==/UserScript==

(function() {
    'use strict';

    const apiKey = ""; // <----------------------------------------------------------------------------------- Your API key here

    GM_addStyle(`
        .ai-check {
          background: #ececec;
          border-radius: 4pt;
          padding: 0pt 3pt;
          font-size: small;
          font-weight: 600;
          display: flex;
          align-items: center;
          width: fit-content;
        }
        .ai-check::hover { color: unset; }
        .ai-checking { background: #95a2d3; color: white; }
        .ai-checking::before { content: "⌛"; margin-right: 2pt; }
        .ai-error { background: #c92c2c; color: white; }
        .ai-error::before { content: "❕"; margin-right: 2pt; }
        .ai-likely { background: #890d1d; color: white !important; }
        .ai-likely::before { content: "🚨"; margin-right: 2pt; }
        .ai-maybe { background: #dec7e5; color: #6a3183; }
        .ai-maybe::before { content: "❔"; margin-right: 2pt; }
        .ai-unlikely { background: #c0edbd; color: #358331; }
        .ai-unlikely::before { content: "✔️"; margin-right: 2pt; margin-top: -2pt; }
    `);

    function getSubmissionText(anchor) {
        const container = anchor.parentElement.parentElement.parentElement
            .querySelector('div.evaluation-session > p.es-description');
        const trimmedText = container.textContent.trim();
        const notesIndex = trimmedText.indexOf("Additional notes\n");
        return notesIndex !== -1 ? trimmedText.substring(0, notesIndex).trim() : trimmedText;
    }

    function showScore(anchor, score) {
        anchor.classList.remove('ai-checking');

        const displayScore = Math.round(100 - score);
        if (score < 30) {
            anchor.classList.add('ai-likely');
            anchor.textContent = `Likely LLM (${displayScore}%)`;
        } else if (score < 70) {
            anchor.classList.add('ai-maybe');
            anchor.textContent = `Maybe LLM (${displayScore}%)`;
        } else {
            anchor.classList.add('ai-unlikely');
            anchor.textContent = `Unlikely LLM (${displayScore}%)`;
        }
    }

    function showError(anchor, data) {
        anchor.classList.remove('ai-checking');
        anchor.classList.add('ai-error');
        anchor.textContent = `Error (see console)`;
        console.log(`Error checking for LLM content: ${data.error}\n${data.description}\nRaw response:\n$${data}`);
    }

    function checkIfAi(anchor) {
        anchor.classList.add('ai-checking');
        anchor.classList.remove('ai-error');
        anchor.textContent = 'Checking...';

        const text = getSubmissionText(anchor);

        const dataToSend = JSON.stringify({ 'text': text, 'sentences': false });
        GM_xmlhttpRequest({
            method: "POST",
            url: "https://api.gowinston.ai/v1/ai-content-detection",
            headers: {
                "Content-Type": "application/json",
                "Authorization": "Bearer " + apiKey
            },
            data: dataToSend,
            onload: function(response) {
                const data = JSON.parse(response.responseText);
                const score = data.score;
                if (score === null || score === undefined) {
                    showError(anchor, data);
                } else {
                    console.log(`Prediction score: ${score} (used ${data.credits_used} credits, ${data.credits_remaining} remaining)`);
                    showScore(anchor, score);
                }
            },
            onerror: function(error) {
                console.error('Error:', error);
            }
        });
    }

    var elems = document.querySelectorAll("h3.es-title");
    for (let k = 0; k < elems.length; k++) {
        const titleElem = elems[k];
        var outerHtml = titleElem.outerHTML;
        titleElem.outerHTML = `${outerHtml}<p style="margin-top: -.5rem; margin-bottom: 2rem;"><a id='es-ai-check-${k}' class='ai-check' href="javascript:checkIfAi(${k})">Check for LLMs</a></p>`
        const anchor = document.getElementById('es-ai-check-' + k);
        anchor.addEventListener('click', () => checkIfAi(anchor));
    }
})();