Building for trillions of agents (7 minute read)
Agents are no longer just chatbots with basic tools. They now have sandboxed environments and can write and run code for any problem they run into, interact with APIs and CLIs directly, and have their own file systems and long-term memory. These primitives offer a glimpse of agents that can handle any task that can be thrown at them. The future will see enterprises with thousands more agents than people in a company. As a result, agents will become the primary users of all software, which means developers should start considering what software to build for these agents.
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Do AI-enabled companies need fewer people? (3 minute read)
The startup economy is undergoing a structural transformation. Startups are substituting compute for labor at an increasing rate. This could result in a lot more companies doing a lot more things, but that hasn't happened so far. The claim that companies can get by with way fewer people due to AI seems to be true.
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The Sword of Damocles in Software (2 minute read)
GitHub Copilot's early lead diminished as competitors like Claude Code and OpenAI Codex surged past 100,000 users within months. From 2022 to 2025, software companies' net dollar retention gradually declined, with a sharp drop in 2026. Companies with simple, easily replaceable products, such as Asana and Zoom, now face increasing threats, leading to potential contraction.
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Get in the Token Path (6 minute read)
Every AI workload ultimately boils down to tokens being generated, processed, and consumed by models. The companies that sit closest to the generation and consumption of tokens will be the ones whose revenue scales with AI activity. The winners of the cloud era monetized the core consumption primitive. That primitive is now tokens. Own the meter, and growth will take care of itself.
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On Being Legible to Capital (2 minute read)
Fundraising legibility breaks into three stages: exterior status, network positioning, and pitch dynamics. Founders outside the top two tiers (repeat founders, top-company alumni) need to build a public body of work, like open source projects or writing, to generate inbound interest. Warm intros from a handful of well-networked angels matter more than any deck, since being "in-network" means capital-adjacent people already vouching for you before the first meeting. In the room, the founders who close know their market cold and flip the power dynamic by making the VC feel like they are competing for the deal rather than doing a favor.
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Avoiding a Culture of Emergencies (7 minute read)
Managers can reduce team emergencies by deeply understanding their team's tasks, setting clear priorities, and developing a strong mental model of the team's role within the company. Good managers proactively address potential issues, make informed decisions, and maintain a long-term focus on productivity rather than short-term gains. Prioritizing team well-being and clarity leads to higher productivity and improved talent retention.
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The Cowan Paradox (6 minute read)
The Cowan Paradox, named after historian Ruth Schwartz Cowan's finding that vacuum cleaners didn't reduce housework but raised cleanliness standards and reassigned labor to fewer people, maps directly onto AI agents in B2B. A Berkeley Haas eight-month field study confirmed it: workers adopted AI, expanded into adjacent roles, stopped separating work from non-work hours, and ended up busier than before.
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Every Bit of Effort Helps (1 minute read)
Early-stage startup progress rarely feels linear, but the breakthrough usually comes from one more meeting, one more call, or one more feature pushed past the point where most founders stop.
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