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Tendi | Your Personal AI Financial Advisor

Tendi is a personal AI financial advisor that helps you set financial goals, plan, budget, and achieve them.
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Tendi | Your Personal AI Financial Advisor
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Introduction

Tendi is a personal AI financial advisor designed to help individuals manage their finances effectively. It offers personalized guidance for setting and achieving financial goals, including debt reduction, emergency fund creation, savings growth, wise investments, and retirement planning. Tendi aims to democratize financial advice, making it accessible to everyone, not just a select few.

Feature

Comprehensive Financial Assistance

  • Provides personalized financial advice
  • Assists with planning and budgeting
  • Offers challenges to keep users on track
  • Sends notifications for important updates

Secure Account Integration

  • Securely links to users' financial accounts
  • Analyzes spending, saving, and investing behaviors
  • Offers actionable insights based on financial data

Interactive AI Chat

  • Engages in conversations about personalized financial advice
  • Provides tailored guidance for achieving financial goals

User-Friendly Dashboard

  • Displays financial health in a simple, easy-to-understand format
  • Allows users to track progress towards their goals effortlessly

Goal Tracking and Alerts

  • Monitors progress towards set financial objectives
  • Provides regular updates on goal advancement
  • Alerts users to critical changes in their financial situation

Flexible Usage Options

  • Offers a free basic version with essential features
  • Provides a premium subscription for advanced functionalities
  • Allows manual input of financial data for those who prefer not to link accounts

FAQ

Who is behind Tendi?

Tendi was developed by a diverse team of professionals, including:

  • AI experts from Netflix, Roku, and Paramount+
  • An Emeritus Professor of Economics
  • A Credit Risk Analyst
  • A Treasury Analyst

Their goal was to create a tool that narrows the wealth gap and empowers everyone to achieve a better financial future.

How does Tendi protect user data?

Tendi employs:

  • Advanced encryption
  • Strict privacy protocols
  • Industry-standard cybersecurity practices
  • Secure data storage
  • No sharing of information without explicit user consent

What types of financial goals can Tendi assist with?

Tendi supports a wide range of financial objectives, including:

  • Saving for specific purchases (e.g., car, vacation)
  • Long-term goals like debt reduction
  • Retirement planning
  • Investment strategies

Is Tendi suitable for financial beginners?

Yes, Tendi is designed to be user-friendly and accessible for financial beginners. It offers:

  • Straightforward financial advice
  • Easy-to-understand insights
  • Educational resources to enhance financial knowledge and confidence

Latest Traffic Insights

  • Monthly Visits

    22.20 K

  • Bounce Rate

    42.16%

  • Pages Per Visit

    1.61

  • Time on Site(s)

    26.67

  • Global Rank

    1252682

  • Country Rank

    United States 1047517

Recent Visits

Traffic Sources

  • Social Media:
    7.32%
  • Paid Referrals:
    1.41%
  • Email:
    0.10%
  • Referrals:
    7.47%
  • Search Engines:
    45.65%
  • Direct:
    37.92%
More Data

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Get ChatGPT for Free with Google

You can now access ChatGPT, a powerful language model, for free with Google. Here's how:

Method 1: Google Colab

* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`

Method 2: Google Apps Script

* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`

Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
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Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.

Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.

How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.

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You can open ChatGPT in a new tab by following these steps:

#Method 1: Using the Browser's Context Menu

1. Right-click on the ChatGPT link or button.
2. Select "Open in new tab" or "Open link in new tab" from the context menu.

#Method 2: Using the Keyboard Shortcut

1. Press `Ctrl + Click` (Windows/Linux) or `Cmd + Click` (Mac) on the ChatGPT link or button.

#Method 3: Using the Browser's Toolbar

1. Click on the ChatGPT link or button while holding down the `Ctrl` key (Windows/Linux) or `Cmd` key (Mac).
2. Release the key after the new tab is opened.

By following these methods, you can easily open ChatGPT in a new tab and start chatting without leaving your current page.
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