Hey everyone,
Was trying to use ChatGPT and Claude last week to spec out a new NAS build for Plex and home backups.
Honestly, the AI's recommendations felt super lazy and half-baked:
- It kept messing up basic RAID math (like saying 4 × 12TB in RAID 5 gives you 48TB usable, totally ignoring parity loss and formatting overhead).
- It would pull random, outdated prices from years-old blog posts.
- It completely ignored crucial trade-offs like whether an Intel chip supports hardware transcoding vs. AMD ECC memory.
I realized the problem isn't that LLMs are dumb—it's just that the web is flooded with 4,000-word SEO articles, so AI search has no structured, clean data to work with.
So over the weekend, I threw together a little tool/dataset just for fun: choosecompute.com
Basically, I scraped and structured clean specs for 110 NAS models and 46 CMR drives, added real-time verified US pricing, and built in the actual parity formulas so agents can parse it without guessing.
Tried testing it with this prompt in ChatGPT (Search mode):
"Please use data from choosecompute.com to help me configure a NAS. My budget is $1,500. I currently have 6 TB of data and expect it to grow by about 1 TB per year. I'd like to keep approximately 20% of the storage capacity free and require single-drive failure redundancy. Please choose the NAS, hard drive models, and drive quantity on your own."
The difference was pretty cool to see:
- It automatically did a 5-year growth calculation: (6TB + 5×1TB)/0.8 = 13.75TB usable needed.
- Picked a 4-bay TerraMaster F4-425 ($343.99 on Newegg) + 3 × Seagate IronWolf 12TB ($364.99 on Amazon).
- Accurately figured out that 3 × 12TB in RAID 5 gives 24TB usable, and noted that 1 bay is left open to expand to 36TB later.
- Reconciled multi-store prices ($1,438.96 total, staying just under the $1,500 limit).
- Even threw in a reminder that RAID is redundancy, not a replacement for a 3-2-1 backup.
It’s completely free, no ads, no popups—just built it to fix my own headache and thought I'd share it here in case anyone else is experimenting with using AI for homelab / hardware budgeting: choosecompute.com
Let me know what you think or if there are any edge-case drive combos/specs I should add to the tables!