Based on the size and complexity of the task, as well as any inter-task dependencies, the orchestrator deploys one or more subagents (sometimes 5 or 6 subagents) to work on these mini tasks. Once all tasks are completed, the orchestrator initiates verification and launches a review workflow. This workflow uses the original prompt, acceptance criteria, repository internal guidelines, and relevant skills to conduct a thorough review of the agents’ work.
Typically, there are one or two review iterations, during which the review agent identifies any issues. Sometimes, I may also notice issues and have to "steer" the orchestrator. The time required for a slice to complete ranges from 30 minutes to 4 or 5 hours, depending on its size, complexity, and the number of subtasks it contains.
Only if I run about 3 such orchestration in parallel I can reach hourly limit.
If you're using it 24/7 then yes, I'm sure the weekly limit is more of a concern.
If you're just using it during working hours - ie. you only use two 5-hour windows per day - then you probably, like me, struggle to hit the weekly limit even if you do max out some 5-hour windows.
I also hope that the fact I had OpenClaw in my sandbox once is not why I hit these limits so damn fast. I don't use it anymore and I've tried to rid my sandbox of anything "openclaw" but it is in my git history in various places on various projects. Claude doesn't seem to be transparent about this limitation.
- Codex
- OpenCode Go
- Ollama Cloud
All are very useful, still a subscription, but with higher usage limits.
Specific providers like GLM also provide subscriptions like Z.ai.
Using DeepSeek, Kimi etc. through OpenRouter or from them directly is also great, here you pay per token but it's still more usage overall.
The 5h windows are frustrating because I can go through them quickly if I have a more complex task. I haven't yet met the weekly limit. I'd say there are many cases similar to mine.
On heavy weeks I probably am using it consistently for at least 6+ hours a day.
Although, I’m pretty rigorous about always keeping my sessions under 200-250k tokens.
Mentally i think about the weekly usage in terms of usage per day so about 14% per day which results in me not using that much early in the week so i can kinda "burn freely" later on. which leads me to a spot where usually on the final two days im sorta thinking about how can i expend that usage ive "saved".
the 5 hour windows make this harder, sometimes the final day of the week im trying to get that 10% in every 5 hour window of my waking hours and i HATE that, i wanna work when i am most productive, not around some ridiculous window of time, i dont wanna think "I am gonna be utilizing claude the most around 11am so i should send a dumb message to haiku to get my 5 hour window started at 7:30am so i can have it roll over at 12:30."
So im happy about this change sure. But it is 100% them creating a problem and pretending having some relief from that problem is them doing their users a favor. I understand they are doing it to lower peak hours usage and all that, I still despise it.
20%, there are 5 work days in a week, not 7.
Using Advisor [1], you can use Sonnet most of time; Sonnet can handoff work it can't handle to Opus. When Opus is done, you automatically go back to Sonnet.
[1]: https://www.mindstudio.ai/blog/claude-code-advisor-strategy-...
I hit my weekly limit around day 4, with 2 maxed out windows per day (and sometimes a bit of usage at night).
I completely understand why people would use Opus for everything, it’s much more thorough and effective. Sonnet as well, but on Pro it’s gonna be Haiku all the time.
I have a pretty nailed down .claude/ where the goal is single sources of truth, so agent md files all reference the relevant files for what domain they are working within with that domain's conventions and structure etc, i think keeping this stuff up to date is massive compounding context savings, as well as just better for performance because it keeps all agents context windows free of noise by helping them only load in what is actually needed.
I've never really messed with haiku for anything besides absolute low end repetitive tasks, its usually an agent i have crafted when i want to ask it to generate a bunch of seed data or generic questions for tests or something similar. My assumption is that it would just be terrible and even though its super cheap, it is still inevitably bringing the final results back to the better models and if thats not valuable tokens then im wasting the haiku tokens and the passoff to the better models with work that will be repeated anyway.
So with the stock sonnet i get the chatty confidently wrong sonnet instead of a strict crafted agent. Stock Opus is a lot more reasonable, and hands off simple tasks to crafted sonnet agents with the chatty and more strict workflows, so i guess im literally doing the opposite(closer to what that old article describes).
However you see it, it's an improvement for the consumer.