diff --git a/package-lock.json b/package-lock.json
index c542fa9..675cf56 100644
--- a/package-lock.json
+++ b/package-lock.json
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         "yallist": {
             "version": "4.0.0",
             "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
-            "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
-        },
-        "yargs": {
-            "version": "16.2.0",
-            "resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz",
-            "integrity": "sha512-D1mvvtDG0L5ft/jGWkLpG1+m0eQxOfaBvTNELraWj22wSVUMWxZUvYgJYcKh6jGGIkJFhH4IZPQhR4TKpc8mBw==",
-            "requires": {
-                "cliui": "^7.0.2",
-                "escalade": "^3.1.1",
-                "get-caller-file": "^2.0.5",
-                "require-directory": "^2.1.1",
-                "string-width": "^4.2.0",
-                "y18n": "^5.0.5",
-                "yargs-parser": "^20.2.2"
-            }
-        },
-        "yargs-parser": {
-            "version": "20.2.9",
-            "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz",
-            "integrity": "sha512-y11nGElTIV+CT3Zv9t7VKl+Q3hTQoT9a1Qzezhhl6Rp21gJ/IVTW7Z3y9EWXhuUBC2Shnf+DX0antecpAwSP8w=="
+            "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
+            "dev": true
         },
         "yn": {
             "version": "3.1.1",
diff --git a/package.json b/package.json
index e571376..e10f0cd 100644
--- a/package.json
+++ b/package.json
@@ -14,7 +14,6 @@
         "npm": "8.x"
     },
     "dependencies": {
-        "@tensorflow/tfjs-node": "^4.3.0",
         "axios": "^0.24.0",
         "discord.js": "14.11.0",
         "dotenv": "^10.0.0",
diff --git a/src/utils/autoWhen.ts b/src/utils/autoWhen.ts
deleted file mode 100644
index 2917e29..0000000
--- a/src/utils/autoWhen.ts
+++ /dev/null
@@ -1,118 +0,0 @@
-import Discord, { ChannelType, Message } from 'discord.js';
-import * as tf from '@tensorflow/tfjs-node';
-import metadata from './when_model/tokenizer.json';
-import { EMBED } from '../commands/a350x/when';
-import { UtilDefinition } from '.';
-
-const WHITELIST = ['808791475206094928'];
-const PRE_FILTER = [
-    'it',
-    'this',
-    '350',
-    '35x',
-    'plane',
-    'aircraft',
-    'addon',
-    'mod',
-    'update',
-    'progress',
-    'discover',
-    'alpha',
-    'beta',
-    'estim',
-    'msfs',
-    'mfs',
-    'sim',
-    'soon',
-    'year',
-    '2023',
-    'this',
-    'planned',
-    'eta',
-    'timeframe',
-    'approx',
-];
-const MAX_LEN = 100;
-
-export const autoWhen: UtilDefinition = {
-    event: 'messageCreate',
-    execute: async (message: Message) => {
-        if (message.channel.type === ChannelType.DM) return;
-        if (message.author.bot) return;
-
-        let whitelisted = false;
-        for (const id of WHITELIST) {
-            if (message.channel.id === id) {
-                whitelisted = true;
-            }
-        }
-        if (!whitelisted) return;
-
-        const model = await tf.loadLayersModel('file://./src/utils/when_model/model.json');
-
-        const inputText = message.content
-            .trim()
-            .toLowerCase()
-            // eslint-disable-next-line no-useless-escape
-            .replace(/[!\"#$%&()*+,\-./:;<=>?@\[\\\]^_`{|}~\t\n]/g, '')
-            .replace(/\s+/g, ' ')
-            .trim()
-            .split(' ');
-
-        let passFilter = false;
-        for (const word of PRE_FILTER) {
-            for (const f of inputText) {
-                if (f.indexOf(word) !== -1) passFilter = true;
-            }
-        }
-        if (!passFilter) {
-            return console.log(`"${message.content}" did not pass filter`);
-        }
-
-        const invalidWords = [];
-        const sequence = inputText.map((word) => {
-            let wordIndex = metadata.config.word_index[word];
-            if (!wordIndex) {
-                wordIndex = 2;
-                invalidWords.push(word);
-            }
-            return wordIndex;
-        });
-
-        if (invalidWords.length > 0) {
-            console.log('New word(s): ' + invalidWords.join(', '));
-        }
-
-        const paddedSequence = padSequences([sequence], MAX_LEN);
-        const input = tf.tensor2d(paddedSequence, [1, MAX_LEN]);
-        const prediction = (model.predict(input) as tf.Tensor).dataSync()[0];
-        if (prediction < 0.5) {
-            return console.log(`"${message.content}" resulted in ${(prediction * 100).toFixed(2)}%`);
-        }
-
-        const when = Discord.EmbedBuilder.from(EMBED);
-        await message.reply({ embeds: [when.setFooter({ text: `Confidence: ${(prediction * 100).toFixed(2)}%` })] }).catch(console.error);
-    },
-};
-
-const padSequences = (sequences, maxLen, truncating = 'pre') => {
-    return sequences.map((seq) => {
-        // truncate
-        if (seq.length > maxLen) {
-            if (truncating === 'pre') seq.splice(0, seq.length - maxLen);
-            else seq.splice(maxLen, seq.length - maxLen);
-        }
-
-        // pad
-        if (seq.length < maxLen) {
-            const pad = [];
-            for (let i = 0; i < maxLen - seq.length; ++i) {
-                pad.push(0);
-            }
-
-            seq = seq.concat(pad);
-        }
-
-        return seq;
-    });
-};
diff --git a/src/utils/when_model/group1-shard1of1.bin b/src/utils/when_model/group1-shard1of1.bin
deleted file mode 100644
index d254832..0000000
Binary files a/src/utils/when_model/group1-shard1of1.bin and /dev/null differ
diff --git a/src/utils/when_model/model.json b/src/utils/when_model/model.json
deleted file mode 100644
index 84053be..0000000
--- a/src/utils/when_model/model.json
+++ /dev/null
@@ -1 +0,0 @@
-{"format": "layers-model", "generatedBy": "keras v2.9.0", "convertedBy": "TensorFlow.js Converter v3.19.0", "modelTopology": {"keras_version": "2.9.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 100], "dtype": "float32", "sparse": false, "ragged": false, "name": "embedding_input"}}, {"class_name": "Embedding", "config": {"name": "embedding", "trainable": true, "batch_input_shape": [null, 100], "dtype": "float32", "input_dim": 16353, "output_dim": 16, "embeddings_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "embeddings_regularizer": null, "activity_regularizer": null, "embeddings_constraint": null, "mask_zero": false, "input_length": 100}}, {"class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 32, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 16, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}}, "training_config": {"loss": "binary_crossentropy", "metrics": [[{"class_name": "MeanMetricWrapper", "config": {"name": "accuracy", "dtype": "float32", "fn": "binary_accuracy"}}]], "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "Adam", "config": {"name": "Adam", "learning_rate": 0.0010000000474974513, "decay": 0.0, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "epsilon": 1e-07, "amsgrad": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "dense/kernel", "shape": [1600, 32], "dtype": "float32"}, {"name": "dense/bias", "shape": [32], "dtype": "float32"}, {"name": "dense_1/kernel", "shape": [32, 16], "dtype": "float32"}, {"name": "dense_1/bias", "shape": [16], "dtype": "float32"}, {"name": "dense_2/kernel", "shape": [16, 1], "dtype": "float32"}, {"name": "dense_2/bias", "shape": [1], "dtype": "float32"}, {"name": "embedding/embeddings", "shape": [16353, 16], "dtype": "float32"}]}]}
\ No newline at end of file
diff --git a/src/utils/when_model/tokenizer.json b/src/utils/when_model/tokenizer.json
deleted file mode 100644
index 2da3a3b..0000000
--- a/src/utils/when_model/tokenizer.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "class_name": "Tokenizer",
-    "config": {
-        "num_words": null,
-        "filters": "!\"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n",
-        "lower": true,
-        "split": " ",
-        "char_level": false,
-        "oov_token": null,
-        "document_count": 45537,
-        "word_counts": {"is": 6051, "the": 14927, "a350": 2187, "going": 468, "to": 7529, "have": 2840, "flybywire": 71, "autopilot": 58, "goofy": 3, "ahh": 51, "people": 617, "asking": 128, "when": 1401, "its": 1235, "in": 3874, "my": 1339, "path": 26, "sedona": 1, "spotted": 9, "by": 479, "accident": 4, "me": 1064, "every": 214, "time": 873, "lol": 1175, "still": 613, "development": 321, "tbh": 93, "i": 8989, "don\\u2019t": 243, "really": 682, "know": 1047, "a35x": 46, "or": 1662, "has": 805, "it": 6560, "been": 530, "discontinued": 5, "hello": 268, "want": 620, "make": 798, "a": 7203, "small": 86, "fixed": 55, "wing": 56, "airplane": 57, "for": 3942, "project": 697, "can": 1877, "you": 4958, "suggest": 20, "few": 176, "resources": 30, "this": 2288, "that": 3682, "explain": 25, "design": 45, "dynamics": 52, "and": 5506, "software": 51, "of": 3376, "aircraft": 716, "detail": 44, "didnt": 134, "could": 399, "msfs": 625, "look": 356, "bad": 248, "\\ud83d\\udc80": 64, "just": 1912, "dive": 1, "bomb": 5, "on": 2915, "approach": 52, "then": 772, "landing": 89, "good": 1032, "needed": 47, "go": 446, "around": 159, "love": 198, "islander": 1, "i'm": 525, "trying": 108, "remember": 102, "what": 1564, "school": 102, "was": 1277, "like": 1842, "\\ud83e\\udd14": 30, "\\ud83d\\ude02": 200, "didn't": 149, "no": 1727, "mobile": 7, "phones": 2, "unless": 61, "wanted": 73, "installed": 67, "your": 791, "car": 24, "\\ud83d\\ude04": 246, "dont": 594, "think": 862, "theyre": 39, "gonna": 366, "drop": 40, "out": 854, "money": 123, "thinking": 51, "our": 341, "own": 200, "dev": 252, "team": 346, "some": 841, "are": 2210, "part": 137, "others": 48, "contractors": 1, "splitting": 2, "their": 543, "between": 90, "multiple": 30, "projects": 105, "ends": 9, "meet": 16, "full": 119, "day": 182, "job": 86, "do": 1794, "we": 1890, "evenings": 1, "weekends": 3, "i\\u2019m": 240, "sure": 419, "that\\u2019s": 136, "similar": 105, "dfd": 363, "guys\\u2026": 1, "if": 1751, "everyone": 180, "it\\u2019ll": 29, "be": 3023, "released": 298, "would": 909, "club": 3, "together": 29, "pay": 88, "wages": 3, "teams": 16, "they\\u2019d": 4, "more": 794, "than": 438, "happy": 89, "release": 777, "quicker": 6, "\\ud83d\\ude0a": 14, "said": 380, "an": 1155, "unrushed": 1, "product": 81, "always": 156, "much": 463, "better": 393, "end": 154, "result": 10, "eager": 9, "one": 1056, "too": 591, "it\\u2019s": 445, "first": 357, "long": 391, "hauler": 17, "i\\u2019ve": 46, "fly": 438, "but": 3064, "also": 769, "appreciate": 42, "takes": 90, "which": 479, "as": 1291, "commodity": 1, "skills": 41, "looking": 226, "forward": 75, "chaps": 1, "from": 1134, "another": 180, "\\u2764\\ufe0f": 25, "ksfo": 1, "vhhh": 3, "wicked": 1, "ill": 79, "probably": 299, "something": 404, "ypph": 2, "eddf": 13, "thats": 330, "under": 49, "2": 377, "hours": 125, "flight": 545, "ooooooo": 1, "imma": 23, "sfo": 2, "sgn": 1, "arrive": 18, "there": 1461, "estimate": 41, "soon\\u2122\\ufe0f": 5, "will": 2586, "ready": 131, "so": 2006, "bro": 111, "didn\\u2019t": 61, "u": 851, "xbox": 118, "ain\\u2019t": 6, "got": 475, "mods": 83, "wip": 47, "not": 2521, "completed": 20, "now": 781, "guys": 604, "relesed": 3, "okay": 240, "thanks": 539, "am": 381, "discussion": 16, "questions": 94, "modelling": 114, "i'd": 100, "recommend": 44, "ask": 255, "sebastian": 7, "second": 67, "everything": 143, "he": 530, "uhhh": 12, "show": 174, "progress": 608, "update": 467, "video": 181, "planning": 46, "next": 249, "week": 70, "picture": 58, "cockpit": 529, "see": 719, "showing": 28, "xd": 166, "give": 240, "link": 161, "pictures": 46, "please": 291, "shared": 24, "sneaky": 3, "pics": 37, "weeks": 52, "ago": 135, "yes": 1276, "made": 334, "what's": 61, "up": 584, "ihave": 1, "question": 281, "aight": 26, "intended": 4, "albi": 1, "ik": 94, "wasnt": 24, "serious": 27, "came": 53, "across": 16, "twitter": 13, "looks": 383, "cool": 227, "\\ud83d\\udc4d": 120, "dawg": 2, "patient": 23, "these": 161, "arent": 27, "working": 397, "obligation": 2, "supply": 2, "with": 1825, "constant": 10, "updates": 315, "2022": 60, "maybe": 384, "new": 579, "pls": 73, "damn": 152, "most": 316, "likely": 78, "won\\u2019t": 49, "able": 166, "get": 1041, "does": 477, "anyone": 246, "might": 222, "come": 375, "bruh": 173, "patience": 22, "days": 122, "listen": 8, "we're": 151, "telling": 23, "alive": 35, "literally": 109, "sharing": 19, "sneak": 36, "peaks": 14, "both": 161, "random": 34, "channels": 18, "designated": 2, "channel": 166, "don't": 587, "believe": 137, "us": 282, "you're": 155, "free": 303, "leave": 67, "server": 440, "\\ud83e\\udd21": 5, "honest": 26, "projekt": 2, "did": 488, "scraped": 1, "coming": 225, "stupid": 51, "ok": 812, "ye": 83, "light": 27, "spring": 3, "break": 46, "\\ud83d\\ude0e": 16, "same": 474, "schoolin'": 1, "unfortunately": 41, "d": 85, "how": 1219, "yall": 41, "doin": 2, "lads": 4, "wish": 71, "great": 281, "luck": 61, "\\ud83d\\ude42": 323, "\\u2665\\ufe0f": 4, "excited": 108, "about": 847, "somebody": 11, "fixxa": 1, "p": 38, "warn": 14, "suck": 12, "at": 1093, "commands": 24, "crap": 15, "morning": 35, "quality": 160, "anxious": 2, "while": 179, "dinsc": 1, "eht": 1, "elast": 1, "they": 1762, "take": 293, "pause": 8, "hey": 221, "lmao": 374, "real": 223, "irl": 123, "reshade": 8, "rl": 9, "sim": 339, "it's": 999, "graphics": 34, "addons": 55, "cause": 102, "certain": 44, "weather": 21, "someone": 297, "reflectors": 2, "lights": 18, "tight": 8, "guess": 175, "causes": 9, "sharp": 9, "line": 37, "welcome": 57, "matt": 2, "davies": 3, "twitch": 14, "streamer": 8, "google": 69, "him": 150, "who": 393, "may": 144, "mat": 2, "btw": 122, "here": 525, "found": 86, "yeah": 998, "rip": 75, "\\ud83d\\ude26": 44, "hear": 59, "oh": 755, "stream": 31, "movie": 12, "watching": 26, "london": 22, "controller": 29, "haul": 78, "how\\u2019s": 7, "everybody": 16, "doing": 271, "only": 704, "thinks": 13, "787": 303, "way": 307, "sensitive": 5, "elevator": 4, "any": 748, "build": 111, "latest": 63, "thing": 296, "done": 352, "work": 711, "tho": 241, "need": 638, "mod": 166, "airports": 47, "over": 174, "madagascar": 2, "yemen": 1, "where": 466, "abouts": 2, "africa": 6, "try": 241, "kuro": 2, "8": 86, "773": 4, "runway": 33, "enough": 150, "9": 60, "african": 5, "ling": 2, "ass": 24, "keyboard": 25, "nice": 525, "theres": 96, "freeware": 352, "airport": 127, "even": 522, "seychelles": 3, "count": 25, "spanish": 3, "eu": 9, "holiday": 15, "places": 6, "payware": 213, "best": 229, "flag": 16, "world": 99, "hella": 8, "sick": 30, "yourcontrols": 10, "config": 17, "can't": 293, "wait": 522, "fbw": 520, "a380": 280, "mean": 473, "last": 182, "summer": 31, "probs": 14, "year": 308, "progression": 2, "down": 149, "shouldn't": 34, "rush": 15, "little": 106, "unfinished": 6, "stuff": 268, "nah": 106, "month": 101, "wow": 115, "clicked": 10, "enter": 14, "itself": 62, "dd": 1, "mm": 6, "yyyy": 1, "very": 520, "unspecific": 1, "specific": 47, "date": 254, "doesn": 3, "agreeing": 1, "list": 32, "pmdg": 235, "747": 172, "400": 20, "800": 49, "addition": 20, "738": 4, "obviously": 39, "overdoing": 1, "options": 22, "ruins": 2, "thought": 165, "turbulence": 5, "sounds": 179, "n": 17, "sounded": 5, "glitched": 1, "audio": 13, "adds": 11, "immersion": 2, "sooo": 9, "worth": 108, "hi": 287, "holy": 25, "moly": 2, "declan": 1, "taking": 57, "sound": 88, "bit": 248, "poo": 2, "major": 38, "despite": 6, "missing": 34, "efb": 104, "im": 622, "waiting": 86, "nls": 5, "a340": 77, "gave": 40, "fs": 35, "realistic": 93, "trial": 7, "buy": 186, "yet": 354, "ive": 78, "flying": 181, "boeing": 158, "non": 25, "stops": 5, "pmdg's": 1, "738s": 1, "kuro's": 1, "788s": 1, "omg": 44, "wtf": 81, "forgot": 60, "aswell": 17, "priority": 23, "wide": 15, "bodies": 3, "1": 325, "aerosoft": 72, "a330": 274, "3": 245, "777": 263, "4": 144, "dfd's": 6, "5": 182, "wings": 47, "6": 99, "those": 201, "order": 34, "well": 739, "\\ud83d\\ude0b": 7, "hard": 180, "forget": 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-}
\ No newline at end of file