robotnurse./advise — advice without the drive
A local LLM consultant, on call.
Not every problem needs us on-site. If you're choosing hardware, designing a local AI stack, or wondering whether your Spark, Mac, or mini-PC can replace a cloud bill — book a session and pick our brains.
Book and pay by card in one step — you'll get a confirmation and we'll reach out to schedule your session. Session fees are non-refundable; you can reschedule with 24 hours' notice — see the refund policy.
pay $250 — single session pay $650 — three-session pack prefer email? hello@robotnurse.io[ what a session covers ]
An hour with someone who actually runs open-weight models on real hardware, every day. Bring the decision you're stuck on:
- 01
Hardware sizing
Which machine fits the models you want to run. RAM and VRAM math, not marketing — what a Mac Studio, a GPU PC, or a mini-PC can honestly hold. The same straight answers as the buyers' notes.
- 02
Stack design
Inference engines, RAG setups, evals — what to run, what to skip, and what order to build it in. If you're technical, we go deep; if you're not, we stay in plain language.
- 03
Cloud vs. local cost
Is your monthly API bill worth replacing with a box you own? We'll do the arithmetic together — hardware, power, and your actual usage — before you spend anything.
- 04
- 05
Troubleshooting
Already running something and it's slow, broken, or weird? Bring the symptoms and the logs; we'll diagnose it live.
[ who books these ]
Professionals — lawyers, CPAs, clinicians — weighing private AI for sensitive work and wanting a straight answer before committing. Small teams deciding between growing API bills and a machine in the closet. Enthusiasts who want a second pair of eyes before buying hardware — check what we sell and service first, then bring questions.
[ how it works ]
- 01
Book and pay
One step, by card, above. You'll get a confirmation right away.
- 02
Send background
Email us what you're trying to do and what you already own. The more specific, the more of the hour we spend on answers instead of setup.
- 03
Talk, then notes
One focused hour on a call. Afterward you get written follow-up notes — the recommendations, the math, and the links — so nothing evaporates.
[ honest answers ]
Do I need to be technical? No. Half these calls are with people who just want AI that doesn't phone home. We meet at your level.
I'm not in NYC — does that matter? Not for a call; we advise people anywhere. If you want hands-on help at your desk, that's the on-site setup service (NYC metro).
How is this different from the on-site setup? On-site is us at your desk building a working system. An advice call is planning, answers, and decisions — often the thing you do before the on-site visit.
Will you just try to sell me hardware? No. If the honest answer is "don't buy anything" or "keep paying the API bill," that's what you'll hear. The service overview has the same policy in writing.
One engineer, no sales team, no funnel. If a session isn't the right thing for what you need, we'll say so and point you at what is — even if that's a competitor's docs page.