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 7 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 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
Cannon-Brookes: Knowledge businesses are process networks, not static databases
“To me, businesses are a set of processes. They're not a system of record. Like, these are all process-based systems, right? Everything Alex has just said is totally true, but there are processes like reference checking or other things, and your ability to coor…”
Cannon-Brookes: AI Is the Best Thing to Happen to Atlassian
“This is the best thing that's happened to our business, right? We're in a knowledge world. We have tools to play with that knowledge, to act on that knowledge, to do all sorts of other things, to solve the jobs our customers have always hired us for.”
Cannon-Brookes: Enterprise AI agent adoption is a design problem, not technology
“These are all, I would argue, a fundamental foundational design and experience problem. They're not a technology problem, right?”
Cannon-Brookes: Consumption Pricing Won't Dominate Enterprise SaaS
“I definitely do not believe that it will be the majority pricing manner for all software or all SaaS based software, because when you talk to customers, they hate it.”
Cannon-Brookes: Most businesses will run 3 to 5 AI agent platforms
“Most businesses, I think, will have three to five large scale agent platforms running internally, and they say, hey, I use Agent Force for this, or I use Gemini for this.”
Cannon-Brookes: AI models are far ahead of actual value delivered
“I feel like in the technology world, sometimes we get so obsessed by, like, model quality, you know, it's almost trite now to say the models are far ahead of the actual value they're delivering now. The underutilized capabilities are so big.”