The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 20 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Isenberg: AI search traffic converts 4x to 5x better than Google
“I think you can expect at least four to five X multiple, you know, on conversion, which is crazy, but it makes sense if you think about it because you're, When you Google something, you have, you know, a thousand blue links that you can go and click, but when …”
Schneider: ChatGPT and Perplexity rely on Google's index instead of crawling
“ChatGPT and OpenAI and Perplexity, like, they're all built on the back of this, like, search engine Google, right? Google has spent the last, whatever, 30 years or 25 years basically indexing the entire, like, internet. Imagine, like, Perplexity and ChatGPT, w…”
Chu: LLMs dominate discovery, but directories capture high-stakes decision-making
“What I think ChatGPT perplexity and all these other LLMs do really well is they help you discover things or get more information on the thing. But by the time someone's on a directory, I think they're in the decision-making phase and with any more complex deci…”
Isenberg: Traditional SEO directly drives ChatGPT and Perplexity rankings
“If you do good SEO, it's going to rank you well in ChatGPT anyways, and perplexity anyways”
Isenberg: Manus AI feels more powerful than ChatGPT, Perplexity, and Claude
“What are you noticing about Manus is it feels like just a little more horsepower than chat GPT, a little more horsepower than perplexity, a little more horsepower than Claude. So it's because of this like multi-agent browsing sort of capabilities, I think”
Isenberg: AI deep research acts like a six-figure McKinsey junior analyst
“The simplest way to think about it is ChatGPT or Perplexity, when you prompt it, it's going to give you a quick
Answer.
But deep research, it's almost like a junior analyst, a McKinsey analyst that they would probably pay hundreds of thousand dollars a year …”
Wilkinson: AI search will scrape affiliate directories without passing traffic or links
“And so if you build an affiliate directory, they're just going to scrape that and then it'll inform the results and you'll never get your links in or credit or anything like that.”
Isenberg: AI search engines like Perplexity will eventually credit their sources
“Although I do think that eventually These perplexities are going to give credit to where they're getting information from.”
Isenberg: AI search engines like ChatGPT will embed interactive tools
“My prediction is tools will be embedded within a lot of these platforms.
So
Right now when you use perplexity or use ChatGPT, really what you're getting back is mostly texts. You know, sometimes you're getting some links or some images and over time what you'r…”
Isenberg: Every AI agent stack requires five specific infrastructure layers
“So the way I think about my agent stack is that every builder, if you're listening to this, you're probably going to need five different layers. You're going to need an agent harness. So that's going to be something like a cloud code, cursor, codex, or idea br…”
A minimal stack of three MCPs outperforms complex tool configurations
“In terms of MCPs, like I used to have like tons of them set up. And what I realized was that simple's often better. I have perplexity. I have fire crawl. I have playwright. Those are like my main ones”
Riley Brown says Perplexity built its business on a single search tool
“Perplexity built a billion-dollar company, right, in the beginning, adding one single tool, basically, which was search the internet before responding. They built a billion dollar company doing that, and this gave its responses incredible context where no othe…”
Isenberg: ChatGPT Deep Research enables one-shot prompting better than Perplexity
“In this you're going to have to prompt a little bit more. This you're going to one shot it more often. ChatGPT you're going to one shot it more often.”
Isenberg: Perplexity's deep research completes queries faster than ChatGPT's
“Okay, so first things first is that perplexity is faster than ChatGPT. You can see that ChatGPT is about halfway done. Perplexity is done.”
Isenberg: ChatGPT Deep Research goes deeper than Perplexity
“It just goes a little deeper. It goes a little deeper than perplexity.”
Wilkinson: I have completely replaced Google with Perplexity and ChatGPT
“I don't use Google anymore. Like for everything I go on perplexity or chat GPT now.”
Brown: Feeding Perplexity API docs into Cursor improves generated code quality
“Perplexity will actually find the latest documentation. It's just going to give better instructions. We can feed it to cursor, which will allow it to make better decisions, write better code.”
Isenberg: Perplexity Computer automatically loads previous Perplexity search context
“It looks at your old searches on perplexity. And even though I've never used perplexity computer, it knows a little bit about me, which is interesting for people who use perplexity, that context will already be loaded.”