u/Cor_Granica

I've been struggling to find a bag that fits my routine. I bring my camera along for my daily commutes, plus I do short hikes on the weekends to shoot landscapes. finding something decent is a pain.

the weather is my biggest headache. it often rains when I hike. the commuter bags I've used aren't waterproof, and the professional camera bags are too bulky. I did see a lightweight camera bag from norbu made on instagram, but I'm not sure how waterproof it is.

has anyone used a bag that meets both daily commuting and outdoor needs? I need something that keeps my gear safe from rain and bumps, without drawing attention. something discreet. would love to hear what y'all think. thanks!

Invoice workflow:

Pdf comes in OCR extracts vendor + amount + PO bot checks SAP 3-way match passed Invoice gets posted

classic RPA is boring as hell here. which is a compliment.

then somebody uploads:

scanned invoice at 30⁰ handwritten PO correction vendor name doesn't exactly match two possible purchase orders amount written as "12.500,00" missing cost center

traditional bot usually does something beautiful: FAIL.

move item to exception queue. human fixes it. annoying but visible. now put an LLM agent in the middle of it. suddenly it can reason through half of these cases.

Great.

now the scary failure becomes: "pretty sure this is PO 48912"

and the workflow continues.

valid PO. valid vendor. valid amount format. wrong invoice match.

nothing technically crashed.

that's why I don't buy the "agents replace RPA" thing. I think the useful architecture is hybrid.

agent: read ugly document interpret free text handle ambiguity decide what needs clarification route weird exceptions

deterministic automation: permissions schema validation math exact IDs duplicate checks limits API calls irreversible actions

let the agent reason. don't let it redefine accounting rules.

testing gets harder too because the worst failure isn't “selector broke.” it's the whole workflow going green while the wrong business action happened.

that's where KaneAI/TestMu is interesting to me. not as an RPA platform. as the end-to-end test layer around these workflows.

you can test the business intent across UI + API + database, and for the UI bits keep tests closer to natural-language intent with self-healing when harmless mappings change.

important part: the heal is reviewable. because if “Post invoice” moved 20px, fine.

if the system suddenly decides “Create credit memo” is the new equivalent... please fail loudly like it's 2018.

I think RPA's biggest strength was never intelligence. it was predictability. agents add the intelligence. the trick is not accidentally throwing away the predictability.

where do you draw the line between "let the agent reason" and "this step must stay deterministic?"

Curious what feature people value most for chasing.