For those of you hitting the 5 hour limit way too often, you’re probably trying to decide between going with five $20 AI plans or one $100 plan.
Before you go and buy more of anything, you need to check what's eating your usage. Keep in mind: people on the $200 plans are also running out of space.
How to Check Your AI Plan Usage
Check Claude Code Usage
You're going to type /usage. It shows what's using up your plan and it gives you recommendations you can apply right there.
Check Codex Usage
Type /status, this shows how much context you're using and where you are with your rate limits.
How to Reduce Your Usage
Next, you need to look for the things that you explain every single session.
That might be your project setup, your test commands, how you deploy, or something else. Turn those repeating explanations into a skill.
To Create a Skill in Claude Code
Start a new chat to instruct the AI to create a new skill.
To Create a Skill in Codex
You can actually stay in a chat where it worked and tell the skill creator to use this chat.
The cool thing about skills is they only load when they're needed, so you stop paying for the AI to figure out a task over and over again. This is how you reduce that AI plan usage and get more bang for your buck.
And remember, “One task, One chat.” Use the /clear command in Claude Code or the /new command in Codex before working on the next feature or request that you need to start on.
If you're still hitting a limit every day after all of that, then look at an upgrade.
When It’s Time to Up the AI Ante
Whether you want to stack or upgrade, it’s going to be personal preference. There are benefits to both.
Upgrading Your Plan
Upgrading Pros
When you upgrade your plan, you’re getting more time out of that AI. It's using your set skills, houses a complete history of context windows and projects, and you use the same commands. Overall, it reduces your own cognitive load because it's doing the menial mental labor for you. You know, cognitive load, the invisible work that's the source of workplace burnout*? Yeah, that.
There used to be a claude.md vs agents.md issue, but this is less important as AI’s are reading and using the same documentation without issues (see our article Claude Hopped on the Agents.md).
Upgrading Considerations
A big con of going with one plan would be if (when) there’s an outage, your whole system goes down. Then you’re out until the AI provider fixes the outage. It's a notable risk worth evaluating.
Stacking AI’s
Stacking Pro
This would be a pro against if (when) an outage were (is) to happen. When one AI provider goes down, you have other providers to fall back on to keep working. Depending whether your whole operations could come to a screeching halt with an outage, this is a big one to consider.
Stacking Considerations
As mentioned in the upgrade section, AI’s are operating with more of the same documentation, although the commands are still different. But honestly, aren’t we used to switching between Mac and Windows keyboard shortcuts and system commands? Switching between your preferred AIs is basically the same principle. But if that drives you crazy, it’s something to consider.
Project histories are not in one place, so you have to remember which projects you were doing in which AI provider. There’s just more cognitive labor involved working with multiple AIs. If the whole point of using AI was to reduce cognitive load, this might be switching one invisible mental workload for another. The choice is yours.
Which Does Opichi Choose?
What do we choose? We practice what we preach and our usage is managed well. And any technology expert (of which we have many) knows redundancy and the ability to hot swap is a best IT practice across the board.
We’re big into skills, agent harnesses, and using high effort models to reduce re-work. Also, our programmers are extremely talented software developers. They can glance at code, catch the issue, and will make a fix in less time than it takes to instruct the AI to fix it. We're truly utilizing AI for the tedious building and debugging, which is only as efficient as our developers are experienced in managing AI agents. Don’t let anyone - especially an AI profiteer** - tell you a talented developer isn’t worth their salt. All that together helps keep overall AI costs managed.
Try out our system, and let us know what you think over on our YouTube Short or TikTok reel on this topic! If you have questions about skills or agent harnesses, throw those questions into the comments, too. We're always watching those to answer and find inspiration for more helpful video tutorial content, so ask away!
Resources:
*The Invisible Work Draining Your Best Employees. Ruppanner, L., et al. Harvard Business Review, July 24, 2026. Online.
**Anthropic CEO Predicts AI Models Will Replace Software Engineers In 6-12 Months: 'I Don't Write Any Code Anymore'.Haider, Mohd. Yahoo Finance, Jan 22, 2026. Online.