I use Perplexity MORE than Google and ChatGPT

Summary

The speaker discusses their preference for Perplexity over other AI chatbots like GPT and Microsoft co-pilot, citing five main reasons. They highlight Perplexity's real-time information accuracy, awareness, organizational features, and its ability to create custom AI prompts for content creation and community automation. The speaker also shares their experience using Perplexity for content synthesis, overcoming blank page syndrome, and personalizing recommendations. They emphasize the tool's potential for knowledge management and content creation, as well as its integration with other platforms like Notion and Zapier.

Takeaways

• 🌟 The speaker prefers using Perplexity over other AI chatbots like Chat GBT and Microsoft co-pilots due to its speed, accuracy, and real-time awareness.
• 📈 Perplexity's ability to turn collections into useful custom GPTs is highlighted, emphasizing its role in content creation and community automation.
• 📊 The speaker provides an in-depth report on Whimsical diagrams, discussing their usefulness in presentations and how to integrate them with the plugin for creating graphics.
• 🔍 Perplexity is praised for its real-time information retrieval, which is considered more effective than Bard and Microsoft co-pilot for staying updated with current affairs.
• 🤖 The speaker's use of Perplexity in their 6-day-old community is detailed, explaining how it automates the process of generating AI-powered summaries for shared headlines.
• 📚 The importance of awareness and context in AI tools is discussed, with Perplexity being commended for its context-awareness and ability to provide detailed information on current events.
• 🎯 The organizational feature of Perplexity is showcased, explaining how it can be used to create collections with custom instructions for AI prompts, enhancing content creation.
• 💡 The integration of Perplexity with other tools like Voice Control and Notion is described, illustrating the potential for streamlined knowledge management and content formatting.
• 🚀 The speaker's vision for their community is shared, aiming to create a system that fosters learning and value creation in the AI sector while minimizing time spent on devices.
• 📝 The script touches on the importance of content synthesis and the role of Perplexity in providing accurate and synthesized information for content creation.
• 🔗 The potential for automation and scaling community efforts is discussed, with the speaker's intention to use tools like Zapier and Perplexity API to manage and grow their online community.

Q & A

What are the five main reasons the speaker prefers Perplexity over other AI tools?

The five main reasons are: real-time information accuracy, better awareness with real-time awareness, organization and collections features, the ability to create custom prompts and collections, and the clean and simple interface.

How does the speaker use Perplexity in content creation?

The speaker uses Perplexity to create AI-powered summaries, personalized recommendations for content ideas, and to overcome blank page syndrome. They also use it to synthesize content accurately and efficiently.

What is the speaker's strategy for managing information and staying updated in their community?

The speaker uses a combination of Ino reader, Twitter lists, and Perplexity to manage information flow and stay updated. They set up automations using Zapier and Perplexity API to generate summaries from posted content.

How does the speaker utilize the 'collections' feature within Perplexity?

The speaker uses the 'collections' feature to create organized outlines for events or topics. They can set custom prompts that affect every thread in the collection, allowing for the creation of structured content and presentations.

What is the speaker's perspective on the intersection between web research, knowledge base management, and work tools?

The speaker believes there is a significant intersection and potential for integration between these areas. They mention the use of Perplexity for web research, Notion for knowledge base management, and various work tools like raycast, which can be combined for effective knowledge management.

How does the speaker use Perplexity to enhance their TikTok and Instagram content creation?

The speaker uses Perplexity to generate content ideas, synthesize information accurately, and create high-quality notes and reports. They also use it to stay updated with the latest AI models and to quickly get context when needed.

What is the speaker's approach to scaling their community and efforts?

The speaker is looking to scale their community by adding more automations and hiring moderators and project managers. They plan to use tools like Zapier and Perplexity API to manage and grow their community effectively.

How does the speaker describe the benefits of using Perplexity over other chatbots like Bard and Microsoft Copilot?

The speaker finds Perplexity to be more accurate and real-time aware than Bard and Microsoft Copilot. They also appreciate its organization and collections features and the clean, simple interface.

What is the speaker's view on the future of content and knowledge management?

The speaker is actively learning about the future of content and knowledge management. They aim to create a community focused on self-organization and in-depth expertise, sharing insights and strategies as they learn.

How does the speaker integrate Perplexity with other tools like Notion and raycast?

The speaker uses Perplexity to gather information and then organizes it in Notion. They also use raycast as a modern launcher and toolbar to quickly access and manage different tools and information sources.

What is the speaker's strategy for testing and implementing new AI models?

The speaker tests new AI models by using them within Perplexity and comparing the quality and speed of responses. They also experiment with different models to find the best fit for their needs.