Analyzing Perplexity: Developing User-Friendly AI-Native Products Based on Nielsen’s Design Principles

Analyzing Perplexity: Developing User-Friendly AI-Native Products Based on Nielsen's Design Principles

Whether LUI or GUI, what product interaction principles should be followed in the AI era has been discussed many times in 2023. The consensus seems to be that LUI is needed, but GUI is also indispensable. As a successful breakout product in AI search, Perplexity’s exploration of AI-native interaction is worth studying and learning from. … Read more

The Ultimate Realm of Search Companies: Not Perplexity or Google

The Ultimate Realm of Search Companies: Not Perplexity or Google

Who would have thought that a few years ago, I painstakingly moved back hundreds of physical books from my dad’s house—one of which is titled “Search,” published in January 2006, just as Google was rising and dominating, almost covering everything in the American search scene. But in the blink of an eye, it has lost … Read more

The King of Shell Products: Perplexity

The King of Shell Products: Perplexity

Video Channel: Huang Yi He YouTube / Medium: huangyihe The following is the text version of the video content I recently saw a very powerful statement: A shell product with 100,000 users is more meaningful than having a proprietary model without any users. If you have friends who are investing in large models or working … Read more

How Perplexity Builds Its Product

How Perplexity Builds Its Product

In yesterday’s article about the creator economy, I mentioned Lenny, the author of Lenny’s Newsletter, who said that all the advertising slots for his podcast this year have already been sold out, which shows how popular his podcast is. Today, I share his recent article “How Perplexity Builds Product,” in which Perplexity’s co-founder and head … Read more

How Perplexity Builds Its Product

How Perplexity Builds Its Product

https://www.lennysnewsletter.com/p/how-perplexity-builds-product The original text comes from the unaltered version of the Deep Intelligence Translation Engine. Johnny Ho, co-founder and product lead of Perplexity, shared valuable experiences on how he organized the team inspired by slime molds and how to empower AI companies through AI. In less than two years since its establishment, Perplexity has become … Read more

Analysis of AI User Experience Standards Behind Perplexity

Analysis of AI User Experience Standards Behind Perplexity

After the Super’s previous articleon Perplexity’s lengthy article, it was officially announced that they completed a Series B funding of $73.6 million, with over 10 million monthly active users, providing over 500 million query services in 2023! Perplexity has achieved a significant disruption in a market long dominated by Google using AI. This article will … Read more

How NXP Reshapes Chip Value Chain in AI Era

How NXP Reshapes Chip Value Chain in AI Era

Chip Value Chain Restructuring:NXP’s 60% Business Comes from SoftwareRecently, NXP Semiconductors held an internal event for distributors in Suzhou, where they discussed the transformation and changes in the AI era, and how to respond to this transformation. Author | Yaw Zhou Image Source | NXP Source | Tech Walker The world is changing rapidly, and … Read more

2025 AI Agents: Latest Technology Stack Analysis

2025 AI Agents: Latest Technology Stack Analysis

The following article is sourced from WeChat public account: PaperAgent Author: PaperAgent Link: https://mp.weixin.qq.com/s/n-TuvbrBsiEHP64BRMdXHQ This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. Introduction In 2025, “Agentic systems” will become a technical focus, and Agents will enter a new stage. This article explores the technology stack … Read more

Simplifying Complexity: Principles for Building Efficient and Reliable AI Agents

Simplifying Complexity: Principles for Building Efficient and Reliable AI Agents

Definition of AI Agent When it comes to agents, many people think it is a product of LLMs, but that is not the case. The modern definition of AI agents has gradually formed alongside the development of AI since the 1950s. Its roots can be traced back to earlier philosophical thoughts and scientific explorations. In … Read more