Alfred is an AI assistant designed to revolutionize modern developer portals. It automates manual workflows, enhances the developer experience, and accelerates API integrations. By leveraging Alfred's capabilities, developers can significantly improve their productivity and make the most of their APIs.
Alfred: AI Assistant for Modern Developer Portals
Transform your developer portal by automating manual workflows with Alfred AI as a service. Drive 10x faster API integrations and enhance developer experience by letting AI do the heavy lifting.
Introduction
Feature
Data Collection and Analysis
Alfred gathers and analyzes user behavior data, providing valuable insights to enhance the overall developer experience.
Workflow Automation
Streamline your development process with Alfred's ability to automate manual workflows, saving time and boosting efficiency.
Enhanced API Discovery
Quickly locate the APIs you need with Alfred's advanced search capabilities, reducing time spent sifting through documentation.
Rapid API Integration
Generate code and models in seconds, dramatically reducing the time required for API integration.
Improved API Adoption
Navigate through your APIs effortlessly, leading to enhanced adoption rates and an improved developer experience.
Quick Integration Process
Integrate Alfred in 60 seconds or less with a simple 2-step process:
- Upload your OpenAPI Spec or use auto-generated API Docs from Treblle
- Embed Alfred into your developer portal with just 2 lines of code
Versatile Compatibility
Alfred is designed to work seamlessly with any developer portal worldwide.
Flexible Pricing Options
Offering various pricing plans tailored for startups, SMBs, and enterprises to suit different needs and budgets.
Comprehensive Resources
Access a wealth of resources including documentation, blog posts, and case studies to support your development journey.
FAQ
What is Alfred?
Alfred is an AI-powered assistant for modern developer portals. It's designed to automate workflows, enhance the developer experience, and accelerate API integrations, ultimately helping developers to be 10 times more efficient in their API-related tasks.
How does Alfred improve API discovery and integration?
Alfred enhances API discovery by providing advanced search capabilities, allowing developers to quickly find the APIs they need. For integration, Alfred can generate code and models in seconds, significantly reducing the time and effort required for API integration.
How long does it take to integrate Alfred?
Integrating Alfred is a quick and straightforward process that takes 60 seconds or less. It involves a simple 2-step process: uploading your OpenAPI Spec (or using auto-generated API Docs from Treblle) and embedding Alfred into your developer portal with just two lines of code.
What kind of resources does Alfred provide?
Alfred offers a range of resources to support developers, including comprehensive documentation, informative blog posts, and insightful case studies. These resources are designed to help developers make the most of Alfred's capabilities and improve their overall development process.
Is Alfred suitable for different sizes of businesses?
Yes, Alfred offers various pricing plans and solutions tailored for different business sizes, including startups, small to medium-sized businesses (SMBs), and enterprises. This flexibility ensures that businesses of all scales can benefit from Alfred's AI-powered assistance.
Latest Traffic Insights
Monthly Visits
67.31 K
Bounce Rate
42.76%
Pages Per Visit
1.73
Time on Site(s)
23.67
Global Rank
533208
Country Rank
United States 1164102
Recent Visits
Traffic Sources
- Social Media:4.09%
- Paid Referrals:0.84%
- Email:0.14%
- Referrals:10.01%
- Search Engines:49.87%
- Direct:34.85%
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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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PI Prompts for ChatGPT, Gemini, Claude, Mistral, Groq & PI General Instructions: * Be specific: Clearly state what you want the AI to do. * Provide context: Give the AI enough information to understand your request. * Experiment: Try different prompts and see what works best. Creative Writing: * ChatGPT: Write a short story about a robot who learns to feel emotions. * Gemini: Compose a poem in the style of Emily Dickinson about the nature of time. * Claude: Create a fictional news article about a discovery on Mars. * Mistral: Generate a song lyric about the feeling of falling in love. * Groq: Write a screenplay for a 5-minute film about a lost dog finding its way home. * PI: Design a worldbuilding document for a fantasy novel, including its history, geography, and magic system. Informative Tasks: * ChatGPT: Summarize the main points of the article on climate change. * Gemini: Explain the concept of quantum mechanics in simple terms. * Claude: Compare and contrast the philosophies of Socrates and Plato. * Mistral: Create a list of 10 interesting facts about the human brain. * Groq: Write a code snippet to scrape data from a website. * PI: Generate a research proposal on the impact of social media on mental health. Code Generation: * ChatGPT: Write a Python function to calculate the factorial of a number. * Gemini: Generate HTML code for a simple webpage with a heading and a paragraph. * Claude: Create a SQL query to retrieve all customers from a database. * Mistral: Write a JavaScript function to validate an email address. * Groq: Generate code to create a new user account in a web application. * PI: Design a machine learning model to classify images of cats and dogs.
PI Prompts for ChatGPT, Gemini, Claude, Mistral, Groq & PI General Instructions: * Be specific: Clearly state what you want the AI to do. * Provide context: Give the AI enough information to understand your request. * Experiment: Try different prompts and see what works best. Creative Writing: * ChatGPT: Write a short story about a robot who learns to feel emotions. * Gemini: Compose a poem in the style of Emily Dickinson about the nature of time. * Claude: Create a fictional news article about a discovery on Mars. * Mistral: Generate a song lyric about the feeling of falling in love. * Groq: Write a screenplay for a 5-minute film about a lost dog finding its way home. * PI: Design a worldbuilding document for a fantasy novel, including its history, geography, and magic system. Informative Tasks: * ChatGPT: Summarize the main points of the article on climate change. * Gemini: Explain the concept of quantum mechanics in simple terms. * Claude: Compare and contrast the philosophies of Socrates and Plato. * Mistral: Create a list of 10 interesting facts about the human brain. * Groq: Write a code snippet to scrape data from a website. * PI: Generate a research proposal on the impact of social media on mental health. Code Generation: * ChatGPT: Write a Python function to calculate the factorial of a number. * Gemini: Generate HTML code for a simple webpage with a heading and a paragraph. * Claude: Create a SQL query to retrieve all customers from a database. * Mistral: Write a JavaScript function to validate an email address. * Groq: Generate code to create a new user account in a web application. * PI: Design a machine learning model to classify images of cats and dogs.An intuitive right-hand side panel for ChatGPT, Google Gemini, Claude.ai, Mistral, Groq, and Pi.ai. Reach your prompt library with a...
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Influencer Tools for Amazon Influencers This guide explores essential tools to help Amazon influencers succeed. 1. Content Creation Tools: * Canva: Design eye-catching graphics, videos, and social media posts. * Lumen5: Create engaging videos from blog posts or scripts. * InShot: Edit and enhance videos for mobile devices. 2. Product Research Tools: * Jungle Scout: Analyze product trends, competition, and sales data. * Helium 10: Discover profitable products, track keywords, and optimize listings. * Viral Launch: Identify trending products and conduct market research. 3. Social Media Management Tools: * Buffer: Schedule and manage social media posts across multiple platforms. * Hootsuite: Monitor brand mentions, engage with followers, and track social media performance. * Later: Plan and visualize Instagram content. 4. Analytics and Tracking Tools: * Amazon Influencer Program Dashboard: Track your performance, earnings, and audience engagement. * Google Analytics: Monitor website traffic and user behavior. * UTM Parameters: Track the effectiveness of your marketing campaigns. 5. Email Marketing Tools: * Mailchimp: Create and send email newsletters to your subscribers. * ConvertKit: Build an email list and automate your marketing workflows. * Klaviyo: Segment your audience and personalize email campaigns.
Influencer Tools for Amazon Influencers This guide explores essential tools to help Amazon influencers succeed. 1. Content Creation Tools: * Canva: Design eye-catching graphics, videos, and social media posts. * Lumen5: Create engaging videos from blog posts or scripts. * InShot: Edit and enhance videos for mobile devices. 2. Product Research Tools: * Jungle Scout: Analyze product trends, competition, and sales data. * Helium 10: Discover profitable products, track keywords, and optimize listings. * Viral Launch: Identify trending products and conduct market research. 3. Social Media Management Tools: * Buffer: Schedule and manage social media posts across multiple platforms. * Hootsuite: Monitor brand mentions, engage with followers, and track social media performance. * Later: Plan and visualize Instagram content. 4. Analytics and Tracking Tools: * Amazon Influencer Program Dashboard: Track your performance, earnings, and audience engagement. * Google Analytics: Monitor website traffic and user behavior. * UTM Parameters: Track the effectiveness of your marketing campaigns. 5. Email Marketing Tools: * Mailchimp: Create and send email newsletters to your subscribers. * ConvertKit: Build an email list and automate your marketing workflows. * Klaviyo: Segment your audience and personalize email campaigns.Tools to help influencers grow their audience and influence.
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