u/Longjumping-Wheel549

currently planning the layout for a small lightweight van build, not a full RV with factory plumbing or a built in black tank. i’m trying to keep the bathroom setup compact and avoid turning half the van into a wet bath.

The concept of a dry flush toilet sounds perfect on paper: sealed waste, no water, no pipes, no cassette tank to carry around. For boondocking or longer stays away from facilities, I get why people look at them.

But I started crunching the numbers on the refill cartridges and tbh I'm struggling to see how this works as a primary toilet.

If two people are in a small van and use it like a normal bathroom, even a few flushes a day adds up fast. Some of the bigger dry flush brands (like laevo) seem to land close to $2 per use depending on where you buy refills. Even WAG bags are not exactly cheap once you start using them regularly, and they are messier to store.

I did find one foldable dry flush option, the modiwell LE310, that claims the refill cost can get much lower than bigger brands if you stock up on the bags when they’re on sale. That makes the math more interesting.

But as a full time setup, I’m still not sure. A dry flush toilet solves the water and plumbing problem, but it might just replace that with a refill cost problem.

Has anyone found a dry flush setup or similar waterless toilet option where the ongoing cost actually makes sense? Or is this one of those things that only works if you treat it as an emergency / nightonly toilet?

Posting our current stack because the AIQuality community has been the most useful place for honest eval discussions I've found. Sharing what we run and where the gaps still are. Curious what others are using and what's actually catching production issues.

Product context: B2C multimodal AI product (text + image + voice), ~50k monthly active users, three model providers (OpenAI, Anthropic, in-house fine-tuned Llama), one customer-facing agent (support), one internal agent (analytics Q&A).

Eval stack broken out by concern:

Prompt regression (prompt or model changed, did outputs degrade)

• Tool: Promptfoo, runs in CI on every PR touching prompts
• Coverage: ~80 test cases per agent, plus prompts unit-tested against gold standards
• Catches: most prompt-tweak side effects, model-update regressions
• Gap: doesn't handle multi-turn well

Multi-turn conversation quality

• Tool: Custom LLM-as-judge with structured rubrics
• Coverage: 200 synthetic conversations per agent, regenerated monthly
• Catches: context loss, contradictions across turns, goal drift
• Gap: judge model drift requires manual recalibration when we update the judge

Adversarial behavioral testing

• Tool: TestMu's Agent to Agent Testing Cloud
• Coverage: hallucination, bias, toxicity, off-scope, prompt injection, PII leakage rubrics
• Catches: behavioral failures under adversarial pressure that our handwritten tests miss
• Gap: their out-of-the-box rubrics are great but we still maintain custom rubrics for our domain-specific compliance needs (we're in finance)

Production observability

• Tool: LangSmith for traces, our own pipeline for tool-call logging, Datadog for latency/cost
• Coverage: 100% of production conversations sampled with PII scrubbing
• Catches: real-world failure modes our pre-deployment eval misses
• Gap: lag between "production failure happens" and "we notice it"

Hallucination detection (specific because we're high-stakes)

• Tool: combination of Agent to Agent's hallucination rubric + RAGAS for retrieval-grounded scoring + custom factuality checks against our knowledge base
• Coverage: every response that cites a fact gets a factuality score
• Catches: most factual errors, especially in RAG flows
• Gap: doesn't catch hallucinations of policy/process information (e.g., agent inventing a refund policy) - we use human review for this

PII leakage and compliance

• Tool: Agent to Agent's compliance rubric + Presidio for PII scanning
• Coverage: every conversation scanned for PII patterns
• Catches: most PII leakage, including system prompt leakage attempts
• Gap: novel adversarial framings sometimes slip through

Where we still don't have a great answer:

• Long-tail evaluation. Our eval catches the top 80% of failure modes. The long tail of weird user inputs is mostly caught in production via observability, which is reactive.
• Multi-modal eval. Image and voice eval is less mature than text. We're piloting some image factuality checks but the tooling is younger.
• Cost. The full eval stack costs us maybe ~$3k/month in tool subscriptions + compute. For our scale it's justified but it adds up.

What's working for everyone else? Particularly curious about: how are people handling multi-modal eval, and how are you measuring eval ROI (because the executives ask).

We are Mass Hiring but take not this is just a Side Hustle and u can earn upto 30$per week, i mean pwede na for side hustle dba.

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I’ve been practicing tiny dots and lines on fake skin for maybe two weeks now and I realized I actually don’t understand what makes one needle feel better than another.

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At first I thought a needle was just… a needle.

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But I ordered a small mixed pack recently and they all feel different somehow. Some glide into the skin smoother and some feel scratchy even when I’m trying to keep the same angle and pressure. I honestly thought I was imagining it until I switched back and forth between two different 5RLs during practice.

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One thing confusing me is branding. A lot of sellers use almost identical photos. I even noticed some shops openly say their tattoo needles are manufactured through Alibaba suppliers before packaging and sterilization locally, which surprised me because I assumed every tattoo company made their own stuff directly.

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So now I’m wondering what experienced people actually look for.

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Is it mainly sharpness? Solder quality? Consistency between batches? Or is it more about personal preference after enough practice?

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Also sorry if this sounds dumb, but do certain needles “hold” ink differently during hand poking or is that completely in my head?

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I’m not tattooing people or anything serious right now, only fake skin and maybe eventually myself once I improve. I just want to understand the equipment better before building bad habits early.

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Really appreciate any advice. I’ve been quietly reading this sub for a while and learning a lot already.