Perplexity is Killing Custom GPTs

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In today’s episode of the Daily AI Show, Brian, Andy, and Jyunmi, later joined by Karl, discuss the potential of Perplexity AI's API as a contender to custom GPTs, exploring whether Perplexity might be the next "custom GPT killer." The conversation covers the strengths and weaknesses of custom GPTs, the role of live search, and when businesses should consider Perplexity's API over the more familiar custom solutions.

Key Points Discussed: Custom GPTs: Advantages and Use Cases

• Ease of Setup and Speed: Custom GPTs are praised for their simplicity and speed in addressing specific business needs. Brian highlighted how quick it is to deploy a custom GPT for tasks like prospecting or sales support, which provides a real-time solution with minimal setup.
• Cost Efficiency: With minimal ongoing costs for even highly customized solutions, custom GPTs are seen as an affordable way to boost business efficiency, especially in sales and customer research.
• Flexibility and Limitations: While custom GPTs offer rapid results, they have limitations in control, especially for complex solutions. Variations in user experience and issues with memory management can lead to inconsistent outputs across different users.

Perplexity API: An Emerging Alternative

• Strengths of Perplexity: Perplexity AI offers a real-time search API that combines large language models with web search capabilities. The discussion highlighted that while it introduces better control over search results and automation, it comes with trade-offs in speed and latency.
• Customization Through API Tools: The group explored how tools like Make or Zapier can integrate Perplexity’s API for more fine-tuned control over outputs, offering flexibility in automating workflows where quality and precision are key but time isn't as critical.

Use Cases and Decision-Making

• When to Use Custom GPTs vs Perplexity: Brian and the co-hosts discussed the balance between speed and reliability. Custom GPTs are ideal for rapid deployment and iterative testing, while Perplexity’s API may offer better quality control in scenarios where users need real-time, web-based data but can tolerate slower response times.
• Real-Time Search Capabilities: One of the limitations of custom GPTs is their reliance on pre-trained data. The integration of Perplexity’s API allows users to pull in real-time information, but with slower response times compared to GPTs, making it suitable for use cases that prioritize accuracy over speed.

The episode closes with a reflection on the future of AI-powered automation, noting that while custom GPTs remain a solid choice for many applications, Perplexity offers compelling advantages for businesses seeking enhanced control and live data. The co-hosts plan to dive into Google’s Notebook LM in the next episode, offering more insights into AI tools and their growing role in the business world.