For founders
Use the investor questions to identify a missing piece of evidence in your story.
STIPDOT / Insights
Ideas for building useful AI companies.
Five editorial field notes on product judgment, creative tools, work, trust, and everyday life. Read them as questions to test against your own product and customers.
01 / Product
Start with the work an agent completes.
An autonomous demo is only a starting point. Our AI agents note examines bounded tasks, permissions, recovery, and the evidence a product needs before it takes on more responsibility.
02 / Creation and work
Make room for human judgment.
The AIGC and AI & work notes explore what happens when drafts become abundant and coordination becomes easier. The product opportunity is in helping people direct, verify, and finish work that matters.
03 / Trust and access
Design around the person affected.
Trust at scale considers evaluation and accountability. AI & life looks at access, usability, and agency. Both ask how a product changes a person’s options and what happens when it makes a mistake.
The agent is not the product. The completed work is. ↗
The most useful way to assess an AI agent is not by how autonomously it appears to reason, but by whether it can own a valuable piece of work safely and repeatably.
Field note / AIGCGenerative AI should elevate taste, not erase it. ↗
AIGC creates an abundance of first drafts. Its lasting value will be measured by whether people can use that abundance to make better choices and more original work.
Field note / AI & workThe best AI gives people more room to do the work only they can do. ↗
The point of workplace AI is not to make people busier. It is to reduce avoidable coordination and give expertise, care, and judgment more room to matter.
Field note / TrustResponsible AI is the operating system for scale. ↗
As an AI product moves from a small group of enthusiastic users to consequential use, trust becomes an engineering, product, and leadership discipline.
Field note / AI & lifeA better future is one where intelligence is more widely available. ↗
AI can make daily life more dignified when it helps people understand complex systems, access services, learn new skills, and maintain more time for one another.
A practical next step01 02 03
Read, then test against your own context.
These field notes express an editorial point of view. They do not report investment performance or guarantee a product outcome.
For product teams
Choose one workflow and translate the note into a measurable design or evaluation question.
For partners
Bring a counterexample or an operating constraint that makes the argument more precise.