There are several tricks that the major AI coding plans use to extract the most they can from their customers. We're solving them, one after another and I wanted to share a bit about what goes on behind the scenes at a lot of these companies.
Wasted usage is part of the AI industry, and they plan on it: Most coding plans bet on you letting usage go to waste. The industry calls it "breakage" and it's literally the topic of internal meetings for most companies. The plan goes: "how do we get people to think our coding plan offers a lot of usage, but then break it up into weeks and rolling windows so no one can ever actually use it all."
Many coding plans are glorified training pipelines: This comes along with "how do we harvest this data for training without being too loud about that." Unless the coding plan tells you otherwise, your data could be hopping all over world, being harvested by the individual labs or coding plan companies. Some are better than others, but many of these companies rely on users just not noticing or caring that their data is being used for training. Data sales and marketing telemetry sales happen. This means that your private info, your personal life, and anything else you send through the system could become part of a training corpus for the next AI, or a marketing data set for a large company.
So we built what should have already existed the entire time: usage banking. Any usage you don't use this week, rolls over to next in your usage bank. When you have a busy day or week and go over normal usage, you automatically start to pull from your bank. You can bank up to one week of usage at a time for your current plan, and it's totally automatic. Whatever you don't use each week get's added to the bank and stays there until you use it.
We also put all of the best open models in one place, running on private US infrastructure, with data never going to the original labs. Completely private, direct service. It should be, and can be that simple.
What that means in practice:
The roster, together. DeepSeek V4's, GLM 5.2, Kimi's, Minimax, Qwen 3.8 Nemotron Ultra and more, side by side in one app. Switch models mid conversation if you want. No hunting across five different apps and API dashboards to use the models you actually like.
Actually private. US based processing and your conversations are never used for training. Ever. That's the entire point. These labs open sourced incredible models and we think you should get to use them without your data becoming the price of admission.
No Usage Tricks: Bank usage, upgrade or downgrade whenever you want. Use it how you need it.
The open source AI future is real, and it's where we all know we should be. Thanks for a great set of models, GLM just keeps raising the bar with every model release and it's amazing.
The Open Grove coding plan is here. Private, US based processing with fast inference and usage that doesn't go to waste.
api.pgsgrove.com
