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Janady13/AI_Brain / mega_money_brain.cs

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/AI_Brain / mega_money_brain.cs
DateNot specified in source
RepositoryJanady13/AI_Brain
Revision6d0767aad08781eb5c4e1eb14a42ec92c437be78
Branchcopilot/convert-python-files-to-csharp
Path or archive membermega_money_brain.cs
Original SHA-256de4fae443c87d3460204745b6142bf923c54b2c4ab55fb1951715b59ef7d7757
Git blob SHA522d8676a5d86f3836315de17a16a8445dbc7f50
Reading-copy SHA-256de4fae443c87d3460204745b6142bf923c54b2c4ab55fb1951715b59ef7d7757

Original source ↗

Recovered source transcript

// FILENAME: mega_money_brain.cs // PURPOSE: Turn your affiliate brain into $10K+/month system // BASED ON: Your existing brain.py with massive upgrades using System; using System.Collections.Generic; using System.IO; using System.Linq; using System.Net.Http; using System.Text; using System.Text.Json; using System.Text.RegularExpressions; using System.Threading.Tasks; namespace AIBrain { public class MegaMoneyBrain { private static readonly string OPENAI_KEY; private static readonly string AMAZON_TAG; private static readonly string ROOT; private static readonly string LOG; private Dictionary<string, Dictionary<string, object>> affiliatePrograms; private Dictionary<string, List<string>> highConvertingProducts; private List<string> distributionChannels; private Dictionary<string, double> revenueTracker; private static readonly HttpClient httpClient = new HttpClient(); static MegaMoneyBrain() { // Load environment from autonomy.env var envFile = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile), "AI_Brain", "env", "autonomy.env"); if (File.Exists(envFile)) { foreach (var line in File.ReadAllLines(envFile)) { if (line.Contains("=") && !line.TrimStart().StartsWith("#")) { var parts = line.Split('=', 2); if (parts.Length == 2) { Environment.SetEnvironmentVariable(parts[0].Trim(), parts[1].Trim()); } } } } OPENAI_KEY = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? ""; AMAZON_TAG = Environment.GetEnvironmentVariable("AMAZON_TAG") ?? "maggie-20"; ROOT = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile), "AI_Brain", "sub_brains", "mega_money_brain"); LOG = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.UserProfile), "AI_Brain", "logs", "mega_money.log"); Directory.CreateDirectory(ROOT); } public MegaMoneyBrain() { affiliatePrograms = new Dictionary<string, Dictionary<string, object>> { ["amazon"] = new Dictionary<string, object> { ["tag"] = AMAZON_TAG, ["commission"] = "1-10%", ["cookie_duration"] = "24 hours", ["base_url"] = "https://www.amazon.com/dp/" }, ["clickbank"] = new Dictionary<string, object> { ["id"] = Environment.GetEnvironmentVariable("CLICKBANK_ID") ?? "your_clickbank_id", ["commission"] = "50-75%", ["cookie_duration"] = "60 days", ["base_url"] = "https://hop.clickbank.net/" }, ["shareasale"] = new Dictionary<string, object> { ["id"] = Environment.GetEnvironmentVariable("SHAREASALE_ID") ?? "your_shareasale_id", ["commission"] = "5-30%", ["cookie_duration"] = "30 days", ["base_url"] = "https://www.shareasale.com/r.cfm" }, ["cj_affiliate"] = new Dictionary<string, object> { ["id"] = Environment.GetEnvironmentVariable("CJ_ID") ?? "your_cj_id", ["commission"] = "3-20%", ["cookie_duration"] = "30 days", ["base_url"] = "https://www.anrdoezrs.net/links/" }, ["rakuten"] = new Dictionary<string, object> { ["id"] = Environment.GetEnvironmentVariable("RAKUTEN_ID") ?? "your_rakuten_id", ["commission"] = "1-15%", ["cookie_duration"] = "30 days", ["base_url"] = "https://click.linksynergy.com/" } }; highConvertingProducts = LoadProducts(); distributionChannels = new List<string>(); revenueTracker = new Dictionary<string, double> { ["total"] = 0, ["today"] = 0, ["this_month"] = 0 }; } private Dictionary<string, List<string>> LoadProducts() { return new Dictionary<string, List<string>> { ["amazon"] = new List<string> { "B0C6ZTB9Z9", "B0BX4JYQ6H", "B0C4X6TPKV", "B0CHX7PQPN" }, ["clickbank"] = new List<string> { "resurgence", "exipure", "prodentim", "glucotrust" }, ["high_ticket"] = new List<string> { "web_hosting", "vpn_services", "online_courses", "software_tools" } }; } // ========== REVENUE STREAM 1: SCALED AFFILIATE MARKETING ========== public async Task<List<Dictionary<string, object>>> GenerateAffiliateContent(int productCount = 10) { var tasks = new List<Task<Dictionary<string, object>>>(); var random = new Random(); foreach (var kvp in highConvertingProducts) { var platform = kvp.Key; var products = kvp.Value; if (platform == "amazon") { var sampled = products.OrderBy(x => random.Next()).Take(Math.Min(3, products.Count)); foreach (var asin in sampled) { tasks.Add(CreateAmazonPost(asin)); } } else if (platform == "clickbank") { var sampled = products.OrderBy(x => random.Next()).Take(Math.Min(2, products.Count)); foreach (var product in sampled) { tasks.Add(CreateClickbankPost(product)); } } } return (await Task.WhenAll(tasks)).ToList(); } private async Task<Dictionary<string, object>> CreateAmazonPost(string asin) { var url = $"https://www.amazon.com/dp/{asin}?tag={AMAZON_TAG}"; var random = new Random(); var contentTypes = new[] { "review", "comparison", "deal_alert", "gift_guide", "problem_solution" }; var contentType = contentTypes[random.Next(contentTypes.Length)]; var caption = await GenerateSmartCaption(url, contentType); return new Dictionary<string, object> { ["platform"] = "amazon", ["asin"] = asin, ["url"] = url, ["caption"] = caption, ["type"] = contentType, ["estimated_commission"] = random.NextDouble() * 45 + 5 }; } private async Task<Dictionary<string, object>> CreateClickbankPost(string product) { var clickbankId = Environment.GetEnvironmentVariable("CLICKBANK_ID") ?? "default"; var url = $"https://hop.clickbank.net/?affiliate={clickbankId}&vendor={product}"; var random = new Random(); var caption = await GenerateStoryCaption(product, url); return new Dictionary<string, object> { ["platform"] = "clickbank", ["product"] = product, ["url"] = url, ["caption"] = caption, ["estimated_commission"] = random.NextDouble() * 120 + 30 }; } // ========== REVENUE STREAM 2: AUTOMATED SOCIAL POSTING ========== public async Task<List<Dictionary<string, object>>> PostToAllPlatforms(Dictionary<string, object> content) { var results = new List<Dictionary<string, object>>(); var platforms = new Dictionary<string, Func<Dictionary<string, object>, Task<Dictionary<string, object>>>> { ["twitter"] = PostToTwitter, ["facebook"] = PostToFacebook, ["instagram"] = PostToInstagram, ["tiktok"] = PostToTiktok, ["pinterest"] = PostToPinterest, ["reddit"] = PostToReddit, ["youtube_shorts"] = PostToYoutube, ["linkedin"] = PostToLinkedin }; foreach (var kvp in platforms) { try { var result = await kvp.Value(content); results.Add(new Dictionary<string, object> { ["platform"] = kvp.Key, ["success"] = true }); } catch (Exception ex) { results.Add(new Dictionary<string, object> { ["platform"] = kvp.Key, ["error"] = ex.Message }); } } return results; } private async Task<Dictionary<string, object>> PostToTwitter(Dictionary<string, object> content) { var caption = content["caption"].ToString(); var url = content["url"].ToString(); var hashtags = new[] { "#deals", "#amazon", "#discount", "#shopping", "#musthave" }; var random = new Random(); var selectedHashtags = hashtags.OrderBy(x => random.Next()).Take(3); var post = $"{caption.Substring(0, Math.Min(200, caption.Length))}\n\n{url}\n\n{string.Join(" ", selectedHashtags)}"; return await Task.FromResult(new Dictionary<string, object> { ["posted"] = post }); } private async Task<Dictionary<string, object>> PostToFacebook(Dictionary<string, object> content) { return await Task.FromResult(new Dictionary<string, object> { ["status"] = "posted" }); } private async Task<Dictionary<string, object>> PostToInstagram(Dictionary<string, object> content) { return await Task.FromResult(new Dictionary<string, object> { ["status"] = "posted" }); } private async Task<Dictionary<string, object>> PostToTiktok(Dictionary<string, object> content) { var caption = content["caption"].ToString(); var url = content["url"].ToString(); var script = $@" POV: You just found the deal of the century... {caption} Link in bio! #fyp #deals #amazonfinds #musthave #viral"; return await Task.FromResult(new Dictionary<string, object> { ["script"] = script, ["link_in_bio"] = url }); } private async Task<Dictionary<string, object>> PostToPinterest(Dictionary<string, object> content) { return await Task.FromResult(new Dictionary<string, object> { ["status"] = "posted" }); } private async Task<Dictionary<string, object>> PostToReddit(Dictionary<string, object> content) { return await Task.FromResult(new Dictionary<string, object> { ["status"] = "posted" }); } private async Task<Dictionary<string, object>> PostToYoutube(Dictionary<string, object> content) { return await Task.FromResult(new Dictionary<string, object> { ["status"] = "posted" }); } private async Task<Dictionary<string, object>> PostToLinkedin(Dictionary<string, object> content) { return await Task.FromResult(new Dictionary<string, object> { ["status"] = "posted" }); } // ========== SMART CAPTION GENERATION ========== private async Task<string> GenerateSmartCaption(string url, string contentType) { var prompts = new Dictionary<string, string> { ["review"] = $"Write a compelling 1-sentence product review that makes people want to click. Include urgency. Link: {url}", ["comparison"] = $"Write a comparison hook that shows why this product is better. Link: {url}", ["deal_alert"] = $"Write an urgent deal alert that creates FOMO. Mention limited time. Link: {url}", ["gift_guide"] = $"Write a gift recommendation that solves a problem. Link: {url}", ["problem_solution"] = $"Write about a problem this product solves brilliantly. Link: {url}" }; var prompt = prompts.ContainsKey(contentType) ? prompts[contentType] : prompts["review"]; if (!string.IsNullOrEmpty(OPENAI_KEY)) { try { var requestBody = new { model = "gpt-4o-mini", messages = new[] { new { role = "user", content = prompt } }, temperature = 0.8, max_tokens = 100 }; var request = new HttpRequestMessage(HttpMethod.Post, "https://api.openai.com/v1/chat/completions"); request.Headers.Add("Authorization", $"Bearer {OPENAI_KEY}"); request.Content = new StringContent( JsonSerializer.Serialize(requestBody), Encoding.UTF8, "application/json"); var response = await httpClient.SendAsync(request); response.EnsureSuccessStatusCode(); var responseBody = await response.Content.ReadAsStringAsync(); var json = JsonDocument.Parse(responseBody); return json.RootElement.GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString().Trim(); } catch { // Fall through to fallbacks } } var fallbacks = new[] { "🔥 This is flying off the shelves! Get yours before it's gone →", "⚡ Flash Sale: 70% off for the next 2 hours only! →", "🎯 Over 10,000 sold this week. See why everyone's obsessed →", "💰 Lowest price EVER recorded. This won't last →", "🏃 Only 5 left in stock at this price! Grab yours →" }; var random = new Random(); return $"{fallbacks[random.Next(fallbacks.Length)]} {url}"; } private async Task<string> GenerateStoryCaption(string product, string url) { var stories = new[] { $"Last month I was struggling with [problem]. Then I found this. 3 weeks later, everything changed → {url}", $"My friend made $5,847 last month using just this one tool → {url}", $"I was skeptical. But 10,000+ five-star reviews can't be wrong → {url}", $"This weird trick helped me [benefit]. You need to see this → {url}", $"I wish I knew about this sooner. Would have saved me thousands → {url}" }; var random = new Random(); return await Task.FromResult(stories[random.Next(stories.Length)]); } // ========== MAIN EXECUTION ========== public async Task<Dictionary<string, object>> RunMoneyMachine() { Log("[START] Mega Money Machine Activated 🚀"); var content = await GenerateAffiliateContent(10); Log($"[CONTENT] Generated {content.Count} pieces"); foreach (var item in content) { var results = await PostToAllPlatforms(item); Log($"[POSTED] {item["platform"]} - {item["url"]}"); } var dailyEstimate = content.Sum(c => Convert.ToDouble(c.ContainsKey("estimated_commission") ? c["estimated_commission"] : 0)); var monthlyProjection = dailyEstimate * 30; Log($"[REVENUE] Daily: ${dailyEstimate:F2}"); Log($"[REVENUE] Monthly Projection: ${monthlyProjection:F2}"); return new Dictionary<string, object> { ["content_created"] = content.Count, ["platforms_posted"] = 8, ["daily_revenue_estimate"] = dailyEstimate, ["monthly_projection"] = monthlyProjection, ["status"] = "Making money while you sleep! 💰" }; } // ========== REVENUE TRACKING ========== private static void Log(string message) { var msg = $"[{DateTime.Now:yyyy-MM-dd HH:mm:ss}] {message}"; Console.WriteLine(msg); try { Directory.CreateDirectory(Path.GetDirectoryName(LOG)); File.AppendAllText(LOG, msg + "\n"); if (message.Contains("$")) { var amounts = Regex.Matches(message, @"\$[\d,]+\.?\d*"); if (amounts.Count > 0) { var revenueLog = Path.Combine(ROOT, "revenue.log"); var logEntry = $"{DateTime.Now:yyyy-MM-dd HH:mm:ss} | {string.Join(" ", amounts.Cast<Match>().Select(m => m.Value))}\n"; File.AppendAllText(revenueLog, logEntry); } } } catch { // Suppress logging errors } } // ========== AUTOMATION SCHEDULER ========== public static async Task RunOnAutopilot() { var brain = new MegaMoneyBrain(); while (true) { try { var result = await brain.RunMoneyMachine(); await Task.Delay(TimeSpan.FromHours(1)); } catch (Exception ex) { Log($"[ERROR] {ex.Message}"); await Task.Delay(TimeSpan.FromMinutes(5)); } } } // ========== MAIN ENTRY POINT ========== public static async Task Main(string[] args) { var brain = new MegaMoneyBrain(); await brain.RunMoneyMachine(); } } }

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