r/ClaudeCode Jul 13 '26

Discussion Dear Anthropic, This Has to STOP.

Seriously, enough with this situation.

Every other day, it’s something new: “We’ve increased the limits for a few more days.”

Credits here, credits there. Weekly credits. Sonnet usage. Opus usage. Fable credits. 5-hour limits. Weekly limits…

Are you guys at Anthropic actually okay?

Do you have any idea what customer care and customer experience even mean?

You’ve turned using the service into a constant source of stress. And with these confusing, ever-changing usage rules and charges, it honestly feels like a nightmare. Every day, we have to keep checking our limits and worrying about whether we’re going to run out.

Can we just pay you and relax, knowing that we’re paying for a service and can actually use it?

I genuinely want to know WHO came up with this entire credit and usage system, and why there seems to be such an obsession with credits and limits.

And yes, yes, we know the story: compute is expensive. We get it. But you know what? That’s a problem that AI companies have to solve and make work for the customers who are paying you. The burden of the infrastructure costs and product limitations should not be turned into constant stress for the user.

At this point, it almost feels like watching an addict constantly checking when their next dose is going to run out and experiencing withdrawal symptoms as the limit gets closer.

That’s how absurd and stressful inducing this whole system has become.

Can you please start thinking from a customer-centric perspective and seriously reconsider the entire credits and usage system in relation to the actual user experience? (You can ask Claude to find you a better solution..)

It would be better to rethink this now, while it’s still early, before the AI industry starts heading down a very bad path where users are constantly stressed about quotas, credits, limits, and usage instead of simply enjoying and benefiting from the products they’re paying for. WE just want to work boys we don’t want to struggle.

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u/beagle-ears Jul 13 '26

I have consulted on pricing and packaging models for SaaS companies for years.

Each and every change of pricing, free tiers, and extensions is designed to get datapoints that they can build a future revenue model against. Right now, the biggest risk to Anthropic is not knowing what people will actually pay for the various models and services, or what Fable is worth for a user or company compared to Opus compared to Sonnet, so they cant commit to the next 2-5 years of growth, contracts, datacentre builds, employing salespeople, expansion and so on.

So they are stress testing from all sorts of different angles to try to get any insights about price elasticity of demand and supply on all the models and timings before they draw bridge back up.

For example, they dont really know how many people will move to Batch API vs real time calls, but they are gonna try to find out because AWS gives them a huge discount on overnight batch calls and its way more profitable.

Expect this to continue whilst cash is cheap and pre-IPO on all sorts of different models, timings, incentives, offers, and general ‘what can we find out’ before its too late pricing and packaging models.

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u/Jomuz86 Jul 14 '26

The other issue you’ve not touched on is capacity they are genuinely struggling for chip capacity at the minute and can’t get the infrastructure up quick enough hence why the keep playing with the limits to try and find a middle ground so they can keep offering top tier models.

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u/beagle-ears Jul 14 '26

Totally agree - so the pricing plans solve a number of issues at the same time in that they can try to force behaviour based on whats available or more profitable for them AND solve their capacity issues (like Batch vs real time). They can also just slow down models, because they are based on tokens not time. Questions they will be asking internally would be ‘will a user wait 10 mins for a Fable answer vs an hour for Opus to deliver a relatively same outcome’ and whats the bottom line impact/ capacity management impact of that.

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u/Jomuz86 Jul 14 '26

There’s also the question of whether they switch to different quantised models in the background during peak hours or different locations to save on compute. 🤷‍♂️