Your LLM is wasting money.

Here is how much — and how LAO fixes it.

Three problems. One fix.

① You pay for the same answers twice

Every time you ask your LLM something similar, it starts from scratch. Same tokens. Same cost. Over and over.

LAO fixes this: caches successful responses. Next time, instant reply — near-zero cost.

Cache hit rate: 91.3% measured. That means 9 out of 10 repeat questions cost almost nothing.

② Every conversation starts from zero

Today's LLMs forget everything between sessions. Your preferences, your patterns, what worked before — all gone.

LAO fixes this: your behavioral patterns settle in over time. LAO remembers what worked, so you don't repeat yourself.

③ Nobody watches the door for you

LLM vendors sell tokens. They profit when you spend more. There is no independent check on what you are paying.

LAO fixes this: sits between you and the LLM. Routes each call to the cheapest model that meets the quality bar. Zero markup. Zero telemetry.

Cache-miss requests are 8.5% of volume but 56% of cost measured. LAO plugs that hole.

Why you can trust it.

🔓 Open source

Apache 2.0. Read the code. Fork it. Audit it. No black box.

🔑 Your keys stay with you

LAO never sees your API keys. No markup, no middleman cut.

👁️ Zero telemetry

Nothing leaves your machine unless you choose to send it. Export and leave anytime.

🏋️ Built from real operations

Not a lab demo. 7 years of real gym operations in Dongguan. Real members, real rent, real incidents.

Get started in one command.

pip install git+https://github.com/ZWISERFIT/lao.git

Full install guide →

Free. No account needed. No data collected.

Want to go deeper?

This page showed you the basics. If you want to understand the architecture, the evidence, or the full vision — here is where to go next.

🔧 How LAO works

The technical architecture: three layers, routing logic, cache mechanics.

See LAO →

📊 See the evidence

Every number on this site links to verifiable proof. Check them yourself.

See evidence →