Addlly AI is a comprehensive AI playground for content creation, designed to empower businesses with generative AI capabilities. It offers customizable modules for producing unique, brand-aligned content across various formats. The platform features zero-prompt content creation, access to multiple advanced language models, and ensures complete data security while providing speed and agility at scale.
Addlly AI: 1st Complete AI Playground for Content Creation
The best all-in-one, no-prompt Gen AI Playground for enterprises. Generate SEO blogs, social media posts, ad copy, press releases, newsletters & more.
Introduction
Feature
Tailor-Made AI Playground
Addlly AI provides a customizable environment with pre-made content modules, allowing businesses to create content that aligns with their specific needs and brand identity.
Zero Prompt Content Creation
Users can generate high-quality content with minimal input, eliminating the need for complex prompt engineering.
Brand Focused Content Creation
The platform leverages AI to understand and amplify brand narratives, ensuring consistent and on-brand content across all modules.
Future-Proof with Multiple LLMs
Addlly AI offers access to multiple cutting-edge AI language models, keeping users at the forefront of AI technology advancements.
Speed and Agility at Scale
The platform enables rapid content creation, analysis, and optimization, all within a single interface, significantly improving efficiency and productivity.
Complete Data Security
Addlly AI implements ironclad security measures to protect user data and integrates proprietary information securely.
Versatile Content Modules
The platform offers various specialized tools:
- SEO Blog Co-Pilot for in-depth, SEO-friendly blogs
- 1-Click Blog Writer for quick content generation
- E-Commerce Blog Writer for product-related content
- Press Release Quick Draft for timely announcements
FAQ
How is Addlly different from ChatGPT?
Addlly is specifically designed for automated and scalable marketing content generation, producing SEO-optimized assets like blog posts and social media content. ChatGPT focuses more on conversational abilities and lacks specialized marketing and SEO features.
Who owns the generated content?
Users fully own and control all content generated by Addlly, with full rights to use, modify and publish as needed for their business.
What languages does Addlly support?
Addlly currently supports English, Mandarin, Indonesian, and Thai, with plans to expand language options over time.
Can Addlly write long articles?
Yes, Addlly can generate long-form content. The 1-Click Blog Writer produces around 1,000 words per article, while the SEO Blog Copilot can average around 3,000 words for more in-depth topics.
Is Addlly's AI-generated content compliant with Google Search guidelines?
Yes, Addlly's AI system is designed to generate content that adheres to Google's webmaster guidelines, incorporating SEO best practices and focusing on producing high-quality, informative content.
Latest Traffic Insights
Monthly Visits
2.15 K
Bounce Rate
44.45%
Pages Per Visit
1.33
Time on Site(s)
23.70
Global Rank
7412574
Country Rank
United Kingdom 1365158
Recent Visits
Traffic Sources
- Social Media:4.61%
- Paid Referrals:1.13%
- Email:0.07%
- Referrals:34.63%
- Search Engines:21.27%
- Direct:38.27%
Related Websites
What is a Prompster? A Prompster is a person who assists a speaker, actor, or presenter by providing them with lines or cues, usually in a subtle and discreet manner, during a performance, presentation, or speech.
What is a Prompster? A Prompster is a person who assists a speaker, actor, or presenter by providing them with lines or cues, usually in a subtle and discreet manner, during a performance, presentation, or speech.Slash Commands for ChatGPT and Bard ===================================== Introduction Slash commands are a convenient way to interact with ChatGPT and Bard, allowing you to perform various tasks and actions within the chat interface. This guide provides an overview of the available slash commands for both ChatGPT and Bard. ChatGPT Slash Commands #General Commands * `/help`: Displays a list of available slash commands and their descriptions. * `/reset`: Resets the conversation, clearing all previous messages and context. #Conversation Management * `/start`: Starts a new conversation, allowing you to begin a fresh topic or task. * `/stop`: Ends the current conversation, stopping any ongoing tasks or topics. #Language and Tone * `/lang <language_code>`: Sets the language for the conversation (e.g., `/lang en` for English). * `/tone <tone>`: Adjusts the tone of the responses (e.g., `/tone formal` for formal tone). #Task Management * `/task <task_name>`: Creates a new task or topic for the conversation (e.g., `/task math problem`). * `/done`: Marks the current task as completed. #Information and Resources * `/define <word>`: Provides the definition of a word or phrase. * `/wiki <topic>`: Displays information about a topic from Wikipedia. Bard Slash Commands #General Commands * `/help`: Displays a list of available slash commands and their descriptions. * `/reset`: Resets the conversation, clearing all previous messages and context. #Conversation Management * `/start`: Starts a new conversation, allowing you to begin a fresh topic or task. * `/stop`: Ends the current conversation, stopping any ongoing tasks or topics. #Language and Tone * `/lang <language_code>`: Sets the language for the conversation (e.g., `/lang en` for English). * `/tone <tone>`: Adjusts the tone of the responses (e.g., `/tone formal` for formal tone). #Task Management * `/task <task_name>`: Creates a new task or topic for the conversation (e.g., `/task math problem`). * `/done`: Marks the current task as completed. #Information and Resources * `/define <word>`: Provides the definition of a word or phrase. * `/wiki <topic>`: Displays information about a topic from Wikipedia. * `/news <topic>`: Displays news articles related to a specific topic. Conclusion Slash commands provide a convenient way to interact with ChatGPT and Bard, allowing you to manage conversations, adjust language and tone, and access various resources. By mastering these commands, you can optimize your experience and get the most out of your interactions with these AI models.
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)
* 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.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "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.
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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