They can, and do. But it takes minutes, not seconds. Google doesn't understand "young mother fleeing DV, two kids under 5, west end, speaks Farsi." It returns ten blue links. 211 has thousands of listings but the best information is buried in unstructured notes that keyword search can't reach. And neither learns what your organization needs, or captures what experienced workers know. Lemy does all of that.

There is no catch. Most community organizations operate on annual grants. They don't have procurement departments or software budgets. The moment we charge for this, the organizations that need it most can't get it. nuAmple is funded by donors as public infrastructure. The catch is that we have to raise the money. That's our problem, not theirs.

Ample Labs proved the need. It also proved what doesn't work — search that starts from scratch every time. Lemy is built specifically to fix this. It maintains context across queries. It embeds inside tools workers already use. And this new AI didn't exist when Ample Labs was built. We're not repeating the experiment. We're applying what we learned.

We publish what we find. This is a research project. If Lemy doesn't improve frontline workflow, that's a finding the sector needs. If it works modestly, we document where and why. Every outcome produces data that didn't exist before. The $50,000 funds the proof of concept and the published findings.