Flourish Freelance is a cloud-based SaaS platform designed to empower freelance professionals in managing their projects efficiently. It offers innovative AI-powered tools to streamline project management, ensuring timely task completion and optimal client value. The platform's key features include task management, AI-powered task generation, project management, and time tracking with billing capabilities.
Thrive as a Freelancer
Your all-in-one solution for maximizing efficiency and income
Introduction
Feature
Task Management
- Break down projects into manageable tasks
- Set task due dates and priorities
- Track time spent on tasks and calculate billable hours
AI-Powered Task Generation
- Utilize GPT-4o AI to generate to-do tasks
- Create key project features using advanced AI technology
- Automatically set task priorities for efficient workflow
Project Management
- Manage multiple projects in a centralized platform
- Create unlimited projects (available in Standard Tier)
- Stay organized and meet deadlines consistently
Time Tracking and Billing
- Monitor time spent on individual tasks
- Calculate billable hours accurately
- Import client descriptions for precise project scoping
Cloud-Based Accessibility
- Access your account from anywhere, at any time
- User-friendly interface for easy project and task management
Flexible Pricing Plans
| Tier | Price | Features |
|---|---|---|
| Basic | £3.99/month | Create up to 15 projects |
| Standard | £5.99/month | All Basic features + Unlimited projects |
FAQ
Is there a free trial available for Flourish Freelance?
Yes, you can try Flourish Freelance for 10 days at no cost before committing to a subscription.
How many projects can I create with the Basic Tier?
The Basic Tier allows you to create up to 15 projects.
Can I cancel my subscription at any time?
Yes, you have the flexibility to cancel your subscription whenever you choose.
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Talk to AI whenever you want with Chat AI: an AI-powered friend, featuring ChatGPT, Bard, Bing, and more! ⚡
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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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Translate Messages in Discord ============================= What is the "Translate" feature in Discord? The "Translate" feature in Discord allows users to translate messages in real-time, making it easier for people who speak different languages to communicate with each other. How to use the "Translate" feature in Discord? #1. Enable the "Translate" feature To enable the "Translate" feature, you need to go to the "User Settings" and click on the "Language" tab. Then, toggle the switch next to "Translator" to the "On" position. #2. Set your preferred language After enabling the "Translate" feature, you need to set your preferred language. You can do this by clicking on the "Language" dropdown menu and selecting your preferred language from the list. #3. Translate messages Once you've set your preferred language, you can start translating messages. To translate a message, simply hover over the message and click on the "Translate" button that appears. #4. View translated messages After clicking the "Translate" button, the message will be translated into your preferred language. You can view the translated message below the original message. Benefits of the "Translate" feature in Discord The "Translate" feature in Discord has several benefits, including: * Improved communication: The "Translate" feature helps to break down language barriers, making it easier for people who speak different languages to communicate with each other. * Increased accessibility: The "Translate" feature makes Discord more accessible to people who may not speak the dominant language of a server or community. * Enhanced collaboration: The "Translate" feature enables people to collaborate more effectively, even if they speak different languages.
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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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