Before Fit, Speed of Learning Is the Only Metric
Tren Griffin's "12 Things about Product-Market Fit" insists that before fit, nothing else matters — not polish, not scale, not team size. For founders building with agents this year, that means resisting the temptation to automate the learning itself. Agents can run workflows faster than any human team, but the judgment about what customers actually need still requires direct contact. Hand-onboard the first fifty customers yourself. The unscalable work is market research disguised as customer service, and no agent can substitute for it.
Distribution Is the Moat, Not the Agent Stack
When anyone can assemble an agentic product in a weekend, the agent stack is not the differentiator. Griffin's framing — fit as the prerequisite for everything downstream — maps cleanly onto a world where the scarce things are customer access, trust, and taste. The founder who has lived the customer's problem reaches the right people faster, earns their confidence, and hears the signal through the noise. Domain expertise is a distribution channel. Until you have sold the product yourself and heard why buyers say yes, no amount of automated outreach will find that answer for you.
After Fit, Don't Let Automation Fumble the Demand
Once pull exists, the failure mode shifts from not finding fit to fumbling it through premature abstraction. Agentic workflows can scale delivery quickly, but accountability and tradeoff decisions still belong to humans. Griffin's point that fit is fragile — that companies overshoot by optimizing the wrong things post-fit — is sharper in an agent-heavy company, where it is easy to mistake throughput for traction. Keep humans in the loop on anything that touches trust: onboarding decisions, escalations, the moments where a customer decides whether to stay.
