diff --git a/src/equicordplugins/triviaAI/index.tsx b/src/equicordplugins/triviaAI/index.tsx
new file mode 100644
index 000000000..f4c860347
--- /dev/null
+++ b/src/equicordplugins/triviaAI/index.tsx
@@ -0,0 +1,66 @@
+/*
+ * Vencord, a Discord client mod
+ * Copyright (c) 2026 Vendicated and contributors
+ * SPDX-License-Identifier: GPL-3.0-or-later
+ */
+
+import { findGroupChildrenByChildId, NavContextMenuPatchCallback } from "@api/ContextMenu";
+import { EquicordDevs } from "@utils/constants";
+import definePlugin, { IconComponent } from "@utils/types";
+import { Message } from "@vencord/discord-types";
+import { findExportedComponentLazy } from "@webpack";
+import { ChannelStore, Menu } from "@webpack/common";
+
+import { settings } from "./settings";
+import { getResponse, handleResponse, parseMessageContent } from "./utils";
+
+const RobotIconLazy = findExportedComponentLazy("RobotIcon");
+const RobotIcon: IconComponent = props => <RobotIconLazy {...props} />;
+
+const messageCtxPatch: NavContextMenuPatchCallback = (children, { message }: { message: Message; }) => {
+    const payload = parseMessageContent(message);
+    if (!payload) return;
+
+    const group = findGroupChildrenByChildId("copy-text", children);
+    if (!group) return;
+
+    group.splice(group.findIndex(c => c?.props?.id === "copy-text") + 1, 0, (
+        <Menu.MenuItem
+            id="vc-trivia-ai"
+            label="Answer With AI"
+            icon={RobotIcon}
+            action={async () => {
+                const ans = await getResponse(payload);
+                handleResponse(message, ans);
+            }}
+        />
+    ));
+};
+
+export default definePlugin({
+    name: "TriviaAI",
+    description: "A plugin that helps you answer trivia questions using AI.",
+    authors: [EquicordDevs.yash],
+    settings,
+    contextMenus: {
+        "message": messageCtxPatch
+    },
+    messagePopoverButton: {
+        icon: RobotIcon,
+        render(message: Message) {
+            const payload = parseMessageContent(message);
+            if (!payload) return null;
+
+            return {
+                label: "Answer With AI",
+                icon: RobotIcon,
+                message,
+                channel: ChannelStore.getChannel(message.channel_id),
+                onClick: async () => {
+                    const ans = await getResponse(payload);
+                    handleResponse(message, ans);
+                }
+            };
+        }
+    }
+});
diff --git a/src/equicordplugins/triviaAI/settings.ts b/src/equicordplugins/triviaAI/settings.ts
new file mode 100644
index 000000000..b4a97e823
--- /dev/null
+++ b/src/equicordplugins/triviaAI/settings.ts
@@ -0,0 +1,53 @@
+/*
+ * Vencord, a Discord client mod
+ * Copyright (c) 2026 Vendicated and contributors
+ * SPDX-License-Identifier: GPL-3.0-or-later
+ */
+
+import { definePluginSettings } from "@api/Settings";
+import { OptionType } from "@utils/types";
+
+export const settings = definePluginSettings({
+    apiKey: {
+        type: OptionType.STRING,
+        description: "API Key.",
+        default: "",
+        placeholder: "Enter API Key here for your AI endpoint.",
+        componentProps: {
+            type: "password"
+        }
+    },
+    model: {
+        type: OptionType.STRING,
+        description: "AI Model to use.",
+        default: "google/gemini-3-flash-preview",
+        placeholder: "e.g. google/gemini-3-flash-preview, inception/mercury, openai/gpt-5.2-chat, etc."
+    },
+    systemPrompt: {
+        type: OptionType.STRING,
+        description: "System Prompt for the AI.",
+        default: "You are a helpful assistant who answers questions for the user in a concise and short way while using the least amount of words and punctuation.",
+        placeholder: "Enter system prompt."
+    },
+    maxTokens: {
+        type: OptionType.NUMBER,
+        description: "Maximum number of tokens in the response.",
+        default: 500
+    },
+    endpoint: {
+        type: OptionType.STRING,
+        description: "OpenAI Compatible AI Endpoint.",
+        default: "https://openrouter.ai/api/v1/chat/completions",
+        placeholder: "Enter your OpenAI compatible AI endpoint here."
+    },
+    autoRespond: {
+        type: OptionType.BOOLEAN,
+        description: "Automatically respond to messages on receiving a response.",
+        default: false
+    },
+    supportImages: {
+        type: OptionType.BOOLEAN,
+        description: "Pass images to the AI for context (if any). This is not supported by all models.",
+        default: true
+    }
+});
diff --git a/src/equicordplugins/triviaAI/utils.ts b/src/equicordplugins/triviaAI/utils.ts
new file mode 100644
index 000000000..501a14ffb
--- /dev/null
+++ b/src/equicordplugins/triviaAI/utils.ts
@@ -0,0 +1,188 @@
+/*
+ * Vencord, a Discord client mod
+ * Copyright (c) 2026 Vendicated and contributors
+ * SPDX-License-Identifier: GPL-3.0-or-later
+ */
+
+import { insertTextIntoChatInputBox, sendMessage } from "@utils/discord";
+import { Logger } from "@utils/Logger";
+import { Message } from "@vencord/discord-types";
+import { showToast, Toasts } from "@webpack/common";
+
+import { settings } from "./settings";
+
+const logger = new Logger("TriviaAI");
+
+type TextPart = {
+    type: "text";
+    text: string;
+};
+
+type ImagePart = {
+    type: "image_url";
+    image_url: {
+        url: string;
+        detail?: "auto" | "high" | "low";
+    };
+};
+
+export type ContentPayload = string | (TextPart | ImagePart)[];
+
+export function parseMessageContent(message: Message): ContentPayload | null {
+    const textParts: string[] = [];
+
+    if (message.content && message.content.trim().length > 0) {
+        textParts.push(message.content);
+    }
+
+    message.embeds.forEach(embed => {
+        const embedBuffer: string[] = [];
+
+        const parts = [
+            embed.provider?.name ? `> ${embed.provider.name}` : null,
+            embed.author?.name ? `**${embed.author.name}**` : null,
+            embed.rawTitle ? `## ${embed.rawTitle}` : null,
+            embed.rawDescription ?? null,
+            ...(embed.fields?.map(f => (f.rawName && f.rawValue) ? `**${f.rawName}**: ${f.rawValue}` : null) ?? []),
+            embed.footer?.text ? `_${embed.footer.text}_` : null,
+        ];
+
+        parts.forEach(p => {
+            if (p) embedBuffer.push(p);
+        });
+
+        if (embedBuffer.length > 0) textParts.push(embedBuffer.join("\n"));
+    });
+
+    const combinedText = textParts.join("\n\n");
+
+    if (!settings.store.supportImages) {
+        return combinedText || null;
+    }
+
+    const imageUrls = new Set<string>();
+
+    message.attachments
+        .filter(att => att.content_type?.startsWith("image/"))
+        .forEach(att => imageUrls.add(att.url));
+
+    message.embeds.forEach(embed => {
+        const potentialUrls = [
+            embed.image?.url,
+            embed.thumbnail?.url,
+            ...(embed.images?.map(img => img.url) ?? [])
+        ];
+
+        potentialUrls.forEach(url => {
+            if (url) imageUrls.add(url);
+        });
+    });
+
+    if (imageUrls.size === 0) {
+        return combinedText || null;
+    }
+
+    const payload: (TextPart | ImagePart)[] = [];
+
+    if (combinedText.length > 0) {
+        payload.push({
+            type: "text",
+            text: combinedText
+        });
+    }
+
+    imageUrls.forEach(url => {
+        payload.push({
+            type: "image_url",
+            image_url: { url }
+        });
+    });
+
+    return payload;
+}
+
+export async function handleResponse(message: Message, response: string): Promise<string> {
+    if (settings.store.autoRespond) {
+        sendMessage(
+            message.channel_id,
+            { content: response },
+            true,
+            { messageReference: { channel_id: message.channel_id, message_id: message.id } }
+        );
+        return response;
+    } else {
+        insertTextIntoChatInputBox(response);
+        return response;
+    }
+}
+
+export async function getResponse(payload: ContentPayload): Promise<string> {
+    if (!settings.store.apiKey) {
+        showToast("TriviaAI: API Key is not set.", Toasts.Type.FAILURE);
+        return "";
+    }
+
+    if (!settings.store.endpoint) {
+        showToast("TriviaAI: Endpoint is not set.", Toasts.Type.FAILURE);
+        return "";
+    }
+
+    if (!settings.store.model) {
+        showToast("TriviaAI: Model is not set.", Toasts.Type.FAILURE);
+        return "";
+    }
+
+    try {
+        const req = await fetch(settings.store.endpoint, {
+            method: "POST",
+            headers: {
+                "Content-Type": "application/json",
+                "Authorization": `Bearer ${settings.store.apiKey}`
+            },
+            body: JSON.stringify({
+                model: settings.store.model,
+                messages: [
+                    {
+                        role: "system",
+                        content: settings.store.systemPrompt
+                    },
+                    {
+                        role: "user",
+                        content: payload
+                    }
+                ],
+                max_tokens: settings.store.maxTokens,
+            })
+        });
+
+        if (!req.ok) {
+            const errorBody = await req.text();
+            const errorMessage = `API request failed with status ${req.status}: ${errorBody}`;
+            logger.error(errorMessage);
+            showToast(errorMessage, Toasts.Type.FAILURE);
+            return "";
+        }
+
+        const data = await req.json();
+
+        if (data.error) {
+            const errorMessage = data.error.message ?? "An unknown error occurred";
+            logger.error(`API Error: ${errorMessage}`);
+            showToast(errorMessage, Toasts.Type.FAILURE);
+            return "";
+        }
+
+        const response = data.choices[0].message.content;
+
+        if (!response?.trim()) {
+            logger.warn("no response from AI model");
+            return "";
+        }
+
+        return response;
+    } catch (e) {
+        logger.error("Error getting response from AI model", e);
+        showToast("Error getting response from AI model", Toasts.Type.FAILURE);
+        return "";
+    }
+}
diff --git a/src/utils/constants.ts b/src/utils/constants.ts
index 35ad0c963..4041fe3b8 100644
--- a/src/utils/constants.ts
+++ b/src/utils/constants.ts
@@ -1255,7 +1255,11 @@ export const EquicordDevs = Object.freeze({
     davri: {
         name: "Davri",
         id: 457579346282938368n,
-    }
+    },
+    yash: {
+        name: "yash",
+        id: 889150838658977874n,
+    },
 } satisfies Record<string, Dev>);
 
 // iife so #__PURE__ works correctly