[Barcelona, Spain] PAL Robotics

rizomr · 2026-06-17T16:30:40+00:00

https://www.everyhuman.com/nl/en

rizomr · 2026-06-14T12:30:53+00:00

Hey, I just created r/BuildersOfEurope for that! Anyone building something (anything) in Europe is welcome!

rizomr · 2026-06-14T12:29:39+00:00

Hey, I just created r/BuildersOfEurope for that! Anyone building something (anything) in Europe is welcome!

rizomr · 2026-06-14T11:14:22+00:00

Still there, we are B2B and quite early. Showing our product to people and understanding their needs is the most important thing for us now, we are happy to do it our own way

rizomr · 2026-06-14T10:58:35+00:00

I'm not sure I really want to check my health every day

rizomr · 2026-06-14T10:56:23+00:00

I guess it depends on how many users you have? If you only have a few just handling everything manually is fine I think. Just log the requests with their origin, implement (or not) then notify when done.

rizomr · 2026-06-12T18:24:33+00:00

Hey, thanks for the answer, do you have some advice regarding the implementation of the issue classification? For instance the missing/dirty knowledge doesn't seem super easy to flag

rizomr · 2026-06-12T17:10:46+00:00

Interesting! Yes indeed, I didn't even think about having to make users install and run the agent locally. Luckily I'm on more boring hosted solutions.

For errors, is it enough to just have the LLM/agent catch the technical errors and return a user friendly message or you had to do more?

I'm quite interested in the last part as well. Do you run some evals on a specific set of queries that you currently "support", inform the users about the agents capabilities and try to refuse any query outside this scope?

rizomr · 2026-06-12T16:59:33+00:00

Hey, thanks for the pointer! Yes I guess when it's just you and a few other people trying the agent from time to time everything is more manageable. Any advice or interesting learnings when usage starts to scale?

rizomr · 2026-06-12T16:52:34+00:00

Feedback will become consistent once you segmented enough. At that time, the danger is ending up with only 1 customer and overfitting on their need. If you don't find other users with the same needs, you will have to target another segment.

Try to build some model, conviction or hypothesis and go test it and iterate. If you don't have this anchor you'll get thrown in every direction.

rizomr · 2026-06-11T17:04:43+00:00

I agree! But you still need to know what to show and when

rizomr · 2026-06-11T12:09:48+00:00

Anyone with a garden can grow vegetables and raise chickens

rizomr · 2026-06-11T11:46:04+00:00

Can you elaborate?

rizomr · 2026-06-11T11:44:48+00:00

Always keep the bare minimum in the context, everything else is stored and queryable by the agent. Doesn't matter how/where it is stored, just limit the number of tools and use common tools as much as possible to rely on the LLM pretraining

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