CleverMindsNotes from Robert · for Jack June 2026 · working draft
Two AI tools for CleverMinds — what I'd actually do
Plain notes, not a pitch. What I built, what I honestly think, and what it'd cost to run on your own.
Jack — I built two small tools that match what you already told me you want. Both are clickable below
(sample data only, nothing wired to real systems). Each is designed three ways so you can just pick what
looks right. Click anything — it'll tell you what the finished version would do. There's a
"Suggest a change" button on every page; use it freely and I'll see it.
0.Team chat— talk here; everyone sees it, live
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1.The two tools
Three designs each — Opus, Gemini, Codex. They open in new tabs so you don't lose this page.
Lead Engine
Cory hands over leads however he's got them — a photo of a lobby directory, a spreadsheet, pasted notes — and it turns each into a real contact (decision-maker, phone, email, headcount), flagging anything it's unsure about before it goes out.
Watches client backups and, the moment one fails, opens a ticket and emails swwa@clevertechs.com — so you know before the client calls. It also flags clients with no maintenance plan as ones you could be selling.
These two are the right first moves because they're low-risk: they don't touch your clients' machines, they're free to start, and they're exactly what this tooling is good at.
Lead Engine is the fast win — we could run it on a real batch of Cory's leads this week.
Backup Watch is the quieter money-maker: it's the reason a client says yes to a monthly plan.
I'd rather start small and prove one than promise everything. If a piece doesn't earn its keep, we drop it.
3.How I'd start
Pick a look for each tool (this week — no cost).
Run Lead Engine for real on a batch of leads → a ready-to-use list.
Point Backup Watch at the alert mailbox → auto-tickets + a client health report.
Then decide what scales — with real results in hand, not guesses.
Billed in small phases tied to things you can see — no big commitment, no surprise invoices.
4.If you want to run it in-house
If CleverMinds wants its own setup (and to get off a throttled host), here are the honest options — laid out
straight so you can decide. The real fork is whether you want a local AI model on your own hardware, or
just use cloud AI by the call. Three paths:
A · Rent a server, no GPU — uses cloud AI per call. Cheapest, simplest.
Server
CPU
RAM
Storage
~ / mo
Best for
Hetzner AX41-NVMe
6c / 12t Ryzen 5
64 GB
2× 512 GB NVMe
$70–75
Best value start
OVHcloud Advance-3
8c / 16t Ryzen 7
64 GB
2× 1 TB NVMe
$95–100
More storage, US presence
Vultr Bare Metal
8c / 16t EPYC
64 GB
384 GB NVMe
$120
US-located bare metal
B · Rent a server with a GPU — runs a local model, no per-call AI fees, data stays put.
Server
GPU (VRAM)
RAM
~ / mo
Best for
Hetzner GEX (RTX 4090)
RTX 4090 (24 GB)
128 GB
$160–190
~30B-class local models
Dedicated 48 GB (A6000 / L40S)
48 GB
128 GB+
$400–600
Bigger / several models
GPU cloud (RunPod 4090)
RTX 4090 (24 GB)
64 GB+
~$0.30/hr
Occasional / bursty use
C · Buy your own hardware — one-time cost, you own it, data never leaves the office.
Hardware
One-time ~USD
Local-model capability
Main tradeoff
NVIDIA DGX Spark (GB10, 128 GB unified)
$3,000–4,000
Desktop AI box; runs large models via 128 GB unified memory
Newer platform; one box, no redundancy
Self-built, RTX 4090 24 GB
$3,000–4,500
~30B-class models well; smaller at full precision
24 GB caps the model size
Self-built, RTX 6000 Ada 48 GB
$8,500–11,000
30–70B models; 100B+ quantized
High upfront for one GPU
The honest tradeoff: renting (A/B) means low/no upfront, easy to change, someone else handles the hardware — but a monthly bill forever. Owning (C) means real money up front and you maintain it, but no monthly fee and client data never leaves your office — which, for law firms, can be worth it on its own. A common middle path: start on a cheap rented CPU box (A) using cloud AI, and only buy a GPU box once the AI volume — or a client's privacy requirement — clearly justifies it.