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AI for research and data analysisHow to use Perplexity AI answer engine – Beginners GuideHow Perplexity AI is redefining online discovery with advanced AIHow Perplexity AI was built in just six monthsPerplexity AI vs Google Search results tested and comparedHow to use Perplexity AI as a research assistantHow to Use Perplexity Spaces for Enhanced AI CollaborationPerplexity AI prompt writing for improved results and readabilityHow to use Perplexity AI for writing and content creationChatGPT vs Perplexity AI model performance comparisonBuilding a Chrome Extension with PerplexityOne of the most practical applications of Perplexity is in building Chrome extensions. By combining its real-time search capabilities with coding tools, you can streamline the development process. Follow these steps to get started:Step 1: Set Up Your ProjectBegin by creating a project directory with the following essential files:manifest.json – Defines your extension’s metadata, such as its name, version, and permissions.background.js – Manages background processes and handles core functionality.popup.html – Serves as the user interface for your extension.Use Perplexity to search for templates, coding examples, and best practices. Pair it with tools like Cursor to write and refine your code efficiently.Step 2: Develop Core FunctionalityImplement the main features of your extension, such as tracking browsing time, managing bookmarks, or enhancing user productivity.Use Perplexity to troubleshoot issues. For example, if you encounter a “content security policy” error, search for targeted solutions and implementation tips.Test your extension in the Chrome browser, iterating on its design and functionality to ensure a seamless user experience.Step 3: Debugging TipsDebugging is a critical part of development. Here are some tips to simplify the process:Use console logs to trace errors and identify problematic code segments quickly.Move inline JavaScript to external files to comply with Chrome’s security policies and improve maintainability.Provide detailed prompts and screenshots to Perplexity for precise debugging assistance and targeted solutions.By combining

Perplexity search engine once offered collections, a powerful feature that allowed users to organize related threads. These collections streamlined AI-powered web search by grouping searches and providing consistent instructions for personalized responses. However, Collections have been renamed to Perplexity Spaces, an enhanced version that offers more flexibility, including the ability to upload reference files.See Also: How To Use Perplexity AI-Powered Search For BeginnersWhat are Perplexity Collections?Perplexity Collections were designed to group related threads, making it easy to conduct in-depth research or analyze specific topics. Users could create custom AI instructions to guide the AI search engine in delivering more relevant results across all threads within a collection. Unlike traditional AI websites, collections allowed for a more organized and personalized search experience.What Are the Benefits of Perplexity Collections?collections in perplexity offered a lot of benefits depending on your use case. Here are some of the top benefits:Organized Answers: Store answers to related questions in one spot, making it easy to find all your topic-specific answers. Traditional search engines like Google don’t offer this convenience.Customized Responses: Users could set unique rules for each collection, ensuring the AI delivered tailored responses every time.Collaboration: Similar to spaces collections allowed collaboration with other users.Consistent Prompts: Collections applied a unified AI prompt across all threads, making it easier to maintain context and avoid rewriting prompts on each thread.Common Use Cases for Perplexity CollectionsPerplexity Collections proved useful in various scenarios, including:Research and Analysis: Ideal for researchers using AI online to gather, analyze, and organize large datasets.Education: Enabled the creation of customized study guides and learning resources.Professional Development: Helped professionals stay current with the latest developments in their field, analyze complex industry trends, and group important information for quick reference and review.How to Create and Edit Perplexity CollectionsTo create a collection, users logged into Perplexity, accessed the library tab, and clicked “Add” in the collections section. They could name their collection, add a description, and provide specific AI instructions to guide perplexity responses. Editing a collection was simple, involving a few clicks to update the prompts or adjust privacy settings.Examples of Perplexity CollectionsHere are some collection examples you can modify to suit your specific use case or project. To test these collections, copy the prompt and descriptions, as they provide context to Perplexity AI.Example-1 – Discover top stories in your nicheCollection Name – Digital Marketing NewsPrompt – Use sources from the web that are less than 7 days

Perplexity might not be the first choice as a coding assistant, given the numerous competitors like Cursor, Bolt, V0, and ChatGPT. However, Perplexity, an advanced AI-powered search engine, is transforming how developers approach coding and problem-solving. By combining real-time web browsing with the capabilities of large language models such as GPT-4 and Claude, Perplexity offers a faster and more efficient way to debug code, solve complex challenges, and streamline workflows. Whether you’re building a Chrome extension or tackling intricate development tasks, this guide explores how to use Perplexity and complementary tools to enhance productivity and achieve better results.If you’ve ever been stuck in the middle of a coding project, endlessly searching for solutions and feeling more overwhelmed with every passing minute, you’re not alone. For developers—whether experienced professionals or enthusiastic beginners—debugging, researching, and managing complex tasks can feel like navigating a maze without a map. Perplexity is transforming the approach to coding and problem-solving.What Makes Perplexity Unique?In this overview by David Ondrej, explore how Perplexity combines real-time web browsing with advanced AI models like GPT-4 and Claude to assist in development tasks. Whether you’re troubleshooting errors, building a Chrome extension, or managing a challenging project, Perplexity offers a unique blend of precision, flexibility, and customization to make your workflow smoother and more efficient.TL;DR Key Takeaways :Real-Time Data and AI Models: Perplexity combines real-time web browsing with advanced AI models like GPT-4 and Claude, offering up-to-date and customizable solutions for coding and problem-solving.Unique Features vs. ChatGPT: Perplexity excels in real-time browsing, supports multiple AI models, and offers integrated tools and customization options, making it ideal for tasks requiring live data and tailored outputs.Practical Applications: Developers can use Perplexity to build Chrome extensions, troubleshoot issues, and streamline workflows with step-by-step guidance and debugging support.Best Practices for Efficiency: Writing clear prompts, using dual

Tabs for focus, and customizing settings are key strategies to maximize Perplexity’s potential and avoid common mistakes.Empowering Developers: Perplexity enhances productivity, supports complex projects, and enables developers of all skill levels to tackle challenges and innovate effectively.Perplexity stands out as more than just a search engine. It combines AI-driven search capabilities with live data retrieval, offering developers a dynamic and versatile tool. Here’s what makes it unique:Real-Time Information: Unlike static AI models, Perplexity retrieves live data from over 20 sources, making sure that your results are always current and accurate.Multiple AI Models: Choose between advanced models like GPT-4 and Claude to tailor responses to your specific needs and preferences.Customizable Outputs: Adjust system prompts to refine the results, making them more relevant to your project’s requirements.This combination of real-time data, model flexibility, and customization makes Perplexity an indispensable tool for coding, research, and problem-solving. Its ability to adapt to diverse use cases ensures it remains a valuable resource for developers at all skill levels.Perplexity vs ChatGPTWhile both Perplexity and ChatGPT are AI-powered tools, they cater to different needs and excel in distinct areas. Here’s a closer look at their differences:Real-Time Browsing: Perplexity specializes in live web searches, providing up-to-date information, whereas ChatGPT relies on pre-trained data unless enhanced with plugins.Model Options: Perplexity supports multiple AI models, offering greater flexibility, while ChatGPT is limited to OpenAI’s ecosystem.Integrated Features: Perplexity includes built-in tools like stock and cryptocurrency charts, making it ideal for specialized use cases.Customization: With Perplexity, you can adjust system prompts to generate more personalized and project-specific outputs.These distinctions make Perplexity a better choice for tasks requiring real-time data, advanced search capabilities, and greater customization, while ChatGPT remains a strong option for conversational AI and general-purpose assistance.Dive deeper into Perplexity with other articles and guides we have written below.How to use Perplexity