When is best to use Perplexity versus another LLM with deep research such as Claude or ChatGPT?

o1 is not designed as a chat model but as a high-level report generator that excels when provided with substantial context and well-defined goals. While initial interactions with o1 may feel clunky and unproductive, understanding its strengths—particularly in generating complex outputs and making decisions with comprehensive data—can unlock its full potential. The key lies in shifting from conversational prompting to providing detailed briefs, emphasizing clarity in objectives, and leveraging its autonomous reasoning capabilities. Key Insights: 1. Provide Extensive Context: Treat o1 like a new hire; give detailed background, prior attempts, and relevant data. 2. Define Goals Clearly: Focus on what you want the output to be rather than instructing how it should be generated. 3. Play to Its Strengths:Excels in generating complete, error-free files.Provides robust explanations of complex topics.Hallucinates less compared to other models. 4. Adapt to Its Weaknesses:Struggles with style/voice-specific writing.Requires significant user input for larger, iterative tasks. 5. Optimize for Usability: Utilize tools like voice memos or pre-prepared context notes to streamline input processes. Actionable FAQ for o1 Users Q1: What is o1 designed for? o1 is a report generator rather than a conversational chat model. It is ideal for tasks that require generating detailed, structured outputs with minimal iteration. Q2: Why does o1 seem ineffective in chat-based scenarios? Unlike traditional chat models, o1 does not actively pull context from the user. Instead, it requires you to provide all relevant details upfront, making it less effective for iterative, conversational workflows. Q3: How can I make o1 work more effectively? - Write detailed briefs rather than simple prompts. - Include all relevant context, including failed attempts, database schemas, and specific business requirements. - Use tools like voice memos for context capture and transcription. Q4: How do I optimize o1’s reasoning capabilities?