A young company often feels pressure to make every process repeatable immediately. Paul Graham’s essay on doing things that do not scale argues for a different early emphasis: direct work with customers. The useful operational insight is that manual effort can function as research when the team has not yet learned what should be standardized.
Use the work to discover the product
Imagine a hypothetical scheduling startup helping its first customers set up their calendars by hand. The team may discover that the real difficulty is not finding a free time but coordinating approvals, permissions or last-minute changes. Those observations can reshape the product more effectively than polishing an automated version of the original assumption.
The manual process should leave a record. Note which steps recur, which exceptions require judgment and where customers become confused. Without that documentation, the company may work hard without converting the effort into learning that improves the next version.
Know what you are testing
Manual service can also hide a weak product if customers are paying for extraordinary personal attention that the eventual offering cannot provide. Founders should distinguish the value of the underlying solution from the value of the team’s temporary concierge work.
A useful test gradually removes one layer of assistance and observes what happens. Can the customer still complete the task? Does satisfaction depend on a person solving an unrelated problem? Those questions help identify what must become part of the product and what belongs in a separate service.
Automate the understood pattern
The goal is not permanent improvisation. It is a clearer basis for deciding which work deserves engineering investment. A process becomes a good candidate for automation when the team understands both the repeated path and the exceptions that matter.
