Most products are built the way they are because that is how products have always been built. E2E exists to question that.

Not as provocation for its own sake. AI has made it possible to revisit problems that were previously too complex or too costly to take on. It has also made it easier to solve familiar problems in new ways. That is worth exploring, and it starts with questioning conventions rather than inheriting them.

We are intentionally small. The same people who observe a problem design, build, and ship the solution. No handovers, no fragmentation, no loss of context between discovery and production.

Decisions are informed by both data and intuition. Neither is treated as more legitimate than the other. Observation, evidence, and gut feeling all have a place at the table.

The work produces ideas worth documenting. What gets built, what the experiments reveal, and what shifts in thinking along the way. Any of these ideas can turn out to be wrong. That is fine. The point is to think clearly enough to be wrong in useful ways.

The posts are short by design. If an idea cannot survive being stated plainly in a few sentences, the thinking is not finished yet.

What follows is the work itself. Some of it will hold up. Some won't. Both are worth sharing.