Artificial intelligence makes people uneasy, and we think that’s healthy. When a technology moves at such a rapid pace into this many corners of daily life, skepticism is a reasonable response—not the reflex of someone falling behind.
We’re building an AI assistant. That gives us one more reason to be clear about what we actually think.
Yes, AI can do real harm
This is not a token concession. Poorly built or poorly used AI can invent answers with total confidence, amplify misinformation, absorb the work of creators without ever naming them, collect far more data than it needs, and replace real human expertise with a convincing imitation of it.
In our field, none of that is abstract. A wrong answer about a propane installation, a 12 V circuit, or a chassis payload rating is not a matter of taste — it’s a fire risk, an expensive breakdown, or worse. An assistant that would rather look competent than admit it doesn’t know is dangerous in that context.
We would rather say so plainly than sell you a fantasy.
Guardrails aren’t optional
Useful AI is bounded AI. In practice, that comes down to a few principles we won’t bend on.
Answers are grounded in real documentation—manufacturer manuals, technical sheets, and verified content—not statistical guesswork. Sources are shown, so you can check for yourself. When the information isn’t in our data, the assistant says so instead of filling the gap. And on anything touching safety, an answer never replaces a qualified technician or the manual for your own equipment.
There are people behind this tool, not an anonymous black box. We do not hide behind the machine: when an answer is wrong, we want to know and fix what we can—the source, the data, and how the assistant works. That’s a commitment to keep improving, not a promise of infallibility. No tool of this kind can offer that, which is exactly why verification still matters.
We support tight regulation
That may sound against our own interests. It is not.
An industry without rules rewards whoever moves fastest and cuts the most corners, not whoever works carefully. We believe in firm requirements: transparency about what a machine generated, traceable sources, strict protection of personal data, clear liability rules known in advance, and especially tight limits anywhere AI touches health, safety, justice, or access to essential services.
We want governments to take notice and act—for the common good and without waiting. Letting an industry regulate itself at the pace of its own interests has never served the public well. Legislating here protects people while giving serious operators a predictable playing field.
Demanding rules clean up a market and protect the public. Anyone building honestly has nothing to lose from them.
We believe in specialized AI
This is probably our strongest conviction.
The idea of a universal intelligence that knows everything about everything strikes us as both oversold and pointed in the wrong direction. What’s genuinely useful is a tool that knows one field deeply, has a defined scope, and whose work you can check.
A specialized AI is more honest because it knows where its competence ends. It’s more verifiable because its sources are identifiable and finite. It is leaner because it does not need to swallow the entire planet to answer a question about a gray tank valve. And it’s more useful, because precision beats breadth when you’re broken down three hours from the nearest dealer.
Our assistant knows nothing about medieval poetry or financial markets. It knows RVs and camping. That’s exactly how we want it.
The tool doesn’t replace the camper
Our assistant is here to save you time, not to think for you. It helps you understand a system, prepare a repair, choose equipment, and plan a route. The judgment, the road experience, and the final call are yours—and on anything involving your safety, a qualified professional remains the authority.
Good AI, as we see it, is a tool you keep bounded, question, and know the limits of. That’s the one we’re trying to build.