Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/AI_Brain / mega_money_brain.cs |
| Date | Not specified in source |
| Repository | Janady13/AI_Brain |
| Revision | 6d0767aad08781eb5c4e1eb14a42ec92c437be78 |
| Branch | copilot/convert-python-files-to-csharp |
| Path or archive member | mega_money_brain.cs |
| Original SHA-256 | de4fae443c87d3460204745b6142bf923c54b2c4ab55fb1951715b59ef7d7757 |
| Git blob SHA | 522d8676a5d86f3836315de17a16a8445dbc7f50 |
| Reading-copy SHA-256 | de4fae443c87d3460204745b6142bf923c54b2c4ab55fb1951715b59ef7d7757 |
Recovered source transcript
Download complete source text ↓481 lines · 18.5 KB
// 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();
}
}
}