LockStack installs in 90 seconds. No Docker. No Python. No CUDA drivers. Double-click the .exe, pick a folder, you're generating local AI content. The setup is the boring part — and we made it short on purpose.

Real reason healthcare agencies pick LockStack: HIPAA. Real reason legal firms pick it: privileged client info. Real reason finserv picks it: SEC marketing rules. Same product, three regulated industries, one common thread — your data never leaves the machine.

ChatGPT Teams = $25 per seat per month. 6 seats = $1,800 per year. LockStack = $147 once. Math at 12 months: $147 vs $1,800. The savings ARE the marketing.

Built from a Seoul apartment. No VC. No accelerator. No $5M seed round to spend on Twitter ads. Just one Korean dev shipping a desktop binary and trusting that privacy-conscious teams would find it. Day-1 profitable. Boring. Sustainable.

12 tokens/sec on a 2024 MacBook Air. That's faster than you can read this sentence. Local AI is not the slow option anymore — that was 2023. The new constraint isn't speed. It's whether you trust your laptop more than you trust a server farm in Iowa.

You thought "local" meant "safe." Think again. Hidden costs lurk even in your most secure LLM setup. Full piece: https://jindoprompt.com/lock/how-to-run-local-llms-with-zero-data-leaks-1

Did you know local LLMs can cost up to $25,000 annually in hidden expenses? The truth isn't in the code — it's in the bills. Full piece: https://jindoprompt.com/lock/how-to-run-local-llms-with-zero-data-leaks-1

What if your "zero data leak" initiative is leaking money instead? Let's talk about the real cost of keeping data… locked. Full piece: https://jindoprompt.com/lock/how-to-run-local-llms-with-zero-data-leaks-1