Topic
14 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
Undated
Tsavo Knott says AI is turning individual contributors into something like project managers who oversee a series of agents.
“everyone is becoming a PM in a sense, right? A PM over a series of agents, a series of specialized or generalized agents to accomplish tasks.”
Undated
Tsavo Knott reports that a Y Combinator general partner recently said the core of becoming AI native is to record everything.
“One of the general partners over at Y Combinator, he recently said, like, the the core to becoming AI native period is to record everything”
Undated
Tsavo Knott argues companies need one universal context layer that any AI tool, such as Cursor, Codex or Claude, can draw on.
“you need one universal context substrate across everything that you're doing that, you know, independent of what you're using, be it cursor, codex, cloud, independent of of any system you're using, they can tap into it.”
Undated
Tsavo Knott compares the universal context substrate to an 'everything CRM', meaning a customer-relationship-style database covering all company work.
“So it's almost like an everything CRM, if you will.”
Undated
Tsavo Knott says executives such as chief operating officers, CEOs and technology directors act as natural routers of context in a company, and that they are early adopters of Pieces-style tools.
“chief operating officer, CEO, director of technology, chief innovation officer. They're kind of the in in innate routers of context in the company”
Undated
Tsavo Knott used sub-agents in Cursor to review his previous twelve months of projects and time spent, in order to prepare Pieces's research and development tax credit.
“I just in cursor, uh, used a variety of sub agents to say, Hey, look at my last twelve months. What are all the projects that I worked on? How much time did I spend on them?”
Undated
Knott repeated the tax credit analysis for 22 more people at Pieces to get a company-wide snapshot of research and development work over twelve months.
“Now I need you to do this twenty two more times across every individual in the company to get a comprehensive snapshot of what in the last twelve months was research and development.”
Undated
Tsavo Knott says the context system cut the research and development tax credit analysis from about a week or two to a couple of hours.
“And I just turned a process that would have maybe taken a week or two across everyone's time into a couple of hours, right?”
Undated
Tsavo Knott says nobody at Pieces had deliberately logged what they worked on, whether it shipped, or how long it took, which is why automatic capture mattered.
“no one in the company consciously took notes about what they did and if it went to production and how much time they took on it over the last year”
Undated
Tsavo Knott lists onboarding and project handoffs as a common use case, where past decisions, communications, goals and KPIs are rolled up for a new team member.
“They need to be able to say, when was the last time I worked on this project? What were all the architectural decisions we made, what were the comms we had”
Undated
In a customer story Tsavo Knott describes, an insurance sales team found that a customer on the phone for over twenty minutes had less than a 40% chance of buying.
“And they have a very specific metric, which is if this customer is on the phone for over twenty minutes, the probability that they become a customer drops below 40%, right?”
Undated
Tsavo Knott characterizes Glean as an enterprise search product that finds a finished document but not how it was made.
“So glean, you know, you might have heard of Glean here and there, but it's kind of this, you know, enterprise search. It'll find you the artifact.”
Undated
Tsavo Knott says teams using note takers such as Otter, Firefly or Gemini often move notes into AI tools like Claude Code by manual copy and paste.
“They say they literally pull up the notes, they copy it, they paste it, and then they say, I need to do XYZ, create some action items from these”
Undated
Tsavo Knott predicts that companies which record everything and lose no details will become AI native fastest.
“I think the companies that will move to being AI native the fastest are the companies that record everything, right? They're the companies that have no details lost, no details missed.”
Episodes