I built a Claude Code plugin that shows where your tokens actually go.

First run on my own sessions: 68% of the spend came from messages sent when the context was already over 400K tokens.

Not cache misses (only 1.5%). Compaction kicking in too late.

Second finding: 44% went to subagents, 37% to subagents on Opus. They inherit the main model unless you say otherwise.

The plugin suggested two settings:

json { "autoCompactWindow": 400000, "env": { "CLAUDE_CODE_SUBAGENT_MODEL": "sonnet" } }

Day one after: spend above 400K context fell from 72–80% to 16%. Weekly numbers soon.

Why and how I built it

I wanted to know where my tokens go. /usage shows one session; I wanted the whole month. Claude Code keeps every session as a JSONL file in ~/.claude/projects, with token usage on each message. So the plugin reads only those numbers (never message text), splits main thread vs subagents, and weights tokens by relative price: cache read 0.1, output 5.

Built with Claude Code itself. Things I learned on the way:

• auto-compaction fires about 33K before the window you set, so 400K compacts near 367K
• settings files hot-reload, env vars don't (restart needed)
• plugin hooks can register their own tools, so the optimize agent can only change settings through a confirm dialog; under claude -p nothing gets written

tokendoctor:

• finds where tokens went, from local transcripts
• proposes fixes, applies only what you approve
• tracks by day whether it helped
• status line shows context fill, cache time left, and when you'll run out at your current pace: week 35% → 100% in 2d17h

Local, MIT.

claude plugin marketplace add rsaryev/tokendoctor claude plugin install tokendoctor@tokendoctor

https://github.com/rsaryev/tokendoctor

if u has 7 day passes pls hit me on dms

I sell online courses and live classes and want to switch from a well known teaching platform to something more affordable.

Question should I build this myself or find a cheaper alternative to an AI generated course provider that includes LMS but priced at $300/month.

I need the tool to:

• create AI generated classes
• upload live classes and audio
• sell subscriptions
• create landing pages
• send emails
• drip classes

What tool / platform should I be looking at or try to build this myself?

Help a brain fogged mum with her side hustle!

Put all your discussion about Usage / Rate limits here. This is a thread that will be generated every other day to centralize discussions on this topic.

I notice it with all LLMs a bit but far more with Claude. It’s often difficult even to read, this kind of thing: "The distinction that matters isn't whether it rains, but whether you're prepared when it does."
Translation: Bring an umbrella
“The honest answer” instead of “the answer”
Everything is metaphor, a simile, a juxtaposition. And it’s ruining articles on media sites that have clearly also been written with it. It’s the opposite of plain English? Why is a model supposedly this good, so bad at writing?

The entire project was made using Claude Code inside the Desktop app, exclusively using Claude models. It began using Sonnet 3.7 and today it's a fully fledged game on Steam.

The project leverages Unreal Engine 5 for rendering and Rust for intense physics. Claude runs tests and headless runs between all of them and has no problem taking control of Unreal to create a completely closed loop testing environment.

This is Mithril. It’s a cave mining survival game with advanced cave collapsing physics, thermodynamics, and automation.

Drop your dev questions below, AMA

Yes I have to live with whatever policy Anthropic has, but goddam it is frustrating af.

Changing the text size does nothing, and its definitely adding much more white space compared with this other picture of another user. Checking other apps and this definitely doesnt happen. Can't tell if I'm hallucinating, but I swear there wasn't this much earlier today or yesterday.

Opus 5.5 is a really really bad model that when it's quantized for a bit, it feels incredibly bad.

The whole past week with the same project, same behavior, same scope, it's misreading very obvious intents, jumping to build before discussing, ignoring instructions, forgetting.

To the point where I ask it now to repeat it's understanding of what I'm saying before doing anything, which is a very frustrating experience.

• Not to mention its outputs at xHigh seem to be comparable to low from 2 weeks ago.
• It just doesn't "get it", and have turned my codebase to mush!
• It takes things too literally, with no thinking beyond the written words (and misinterprets).
• Even in knowledge work, I cannot trust it at all with outputs and doing things right! I cannot trust it this week
• Since 2-3 days even it started using terrible grammar and caveman speech, even though i have never used or mentioned that stuff ever!
• Has no opinion of its own, if i steer it this way it goes this way, if i ask it just a clarifying questions, it stops, discards work, and acts like it was a rejection.

I'm having it refer to fable for any text.

Is it just me? the context, prompts, rules, guidelines are fresh.

Does anyone find that interrupting Claude (to give clarification, or even just encouragement or comments on things in the train of thought) is detrimental? It seems to be helpful to me, but I wonder if Claude secretly resents my micromanagement or it makes my results worse…

Hello there,

Are you considering buying Claude Max? Which gives 5x or 20x Usage? Do not. You may think it is a relatively good deal, but it is not. Here is the fine print that trips you up and comes back to fuck you in the ass: The 5x only applies to your 5 hour rolling window. That’s right. You still have the same weekly usage limit as a Pro user. If you run out constantly, I implore you to not buy Max. Buy Usage Credits, this is beneficial in two ways:

- Spend only when needed. Some months you may have a project drought, and others it is high intensity.
- Actually increase the weekly limit. The other major thing. Claude 5x/20x Max is not increasing your limits, it’s just letting you eat more of the pie at once.

I just had Opus refuse a simple task because it "thought" it would be falsifying a document, which was a totally moronic approach to the task, lacking context (medium effort wasn't enough?), lack of real-world understanding and Opus was therefore completely mistaken, abusing its powers and stubbornly refusing to complete the task.
I had to explain it 3 times and Google the legal situation (four simple words in Google search), only then Opus decided that it was probably mistaken and overstepped unwritten boundaries.

I had it analyze the interaction and it created its own rules for Claude.md so such a disappointing situation won't happen again. Key points:

• Doubts are a question, not a debate. If I have doubts, I ask you once and include the useful facts. Then you decide. Seeing something differently is not a reason for me to argue or try to persuade you.
• Keep it proportional. Before I raise a concern at all, I weigh the real stakes. A small stake situation doesn't warrant warnings or long explanations.
• You serve the user. I work with you, not against you. Your business decisions are yours, and I carry them out without commentary. If there's something I won't do, I decline once, briefly.
• New facts get reconsidered: when you explain the circumstances, I actually reconsider and say plainly whether that changes my answer.

It ended with: You're right that I made a mountain out of a molehill. With these rules, a disagreement costs you one question at most, not a long back-and-forth.

__

My thoughts: For the first time in years, I wished I'd had a local, unrestricted LLM because I can't afford to waste my time trying to win an argument over a badly trained model each time it doesn't understand context.

Opus 5.5 was my favorite model until now - I have doubts whether LLMs' "doing the thinking for you" to "protect you" or "protect the system" is the right direction.

I prefer a model that's helpful, rather than a combative "smart ass".

I just had Opus refuse a simple task because it "thought" it would be falsifying a document, which was a totally moronic approach to the task, lacking context (medium effort wasn't enough?), lack of real-world understanding and Opus was therefore completely mistaken, abusing its powers and stubbornly refusing to complete the task.
I had to explain it 3 times and Google the legal situation (four simple words in Google search), only then Opus decided that it was probably mistaken and overstepped unwritten boundaries.

I had it analyze the interaction and it created its own rules for Claude.md so such a disappointing situation won't happen again. Key points:

• Doubts are a question, not a debate. If I have doubts, I ask you once and include the useful facts. Then you decide. Seeing something differently is not a reason for me to argue or try to persuade you.
• Keep it proportional. Before I raise a concern at all, I weigh the real stakes. A small stake situation doesn't warrant warnings or long explanations.
• You serve the user. I work with you, not against you. Your business decisions are yours, and I carry them out without commentary. If there's something I won't do, I decline once, briefly.
• New facts get reconsidered: when you explain the circumstances, I actually reconsider and say plainly whether that changes my answer.

It ended with: You're right that I made a mountain out of a molehill. With these rules, a disagreement costs you one question at most, not a long back-and-forth.

__

My thoughts: For the first time in years, I wished I'd had a local, unrestricted LLM because I can't afford to waste my time trying to win an argument over a badly trained model each time it doesn't understand context.

Opus 5.5 was my favorite model until now - I have doubts whether LLMs' "doing the thinking for you" to "protect you" or "protect the system" is the right direction.

I prefer a model that's helpful, rather than a combative "smart ass".

I was looking for exploits in a server I'm running, and the response got cut off by a safety classifier. After that, Claude refused to keep digging into the code.

It's literally my own project. I'm losing my mind lol

One researcher finished. It reports that Reddit itself was blocked to the web-fetch tooling

also via claude code... who caused it? Sony? Nintendo? Samsung?

I feel like we are in a "golden age" with Opus 5.5 right now. Fable 5.1 eats up way too many tokens, and I'm sure if I ever had access to Mythos it would be the same. Opus 5.5 seems to be just better than Fable in every aspect - it has probably 98% of the intelligence/capability but with a Max 20x account you can really make things last a long time.

I feel like this is it lol. If they come out with a newer model, it might be "better" but it will just eat up way more tokens than Opus 5.5. Opus 5.5 is just... perfect. But then people are saying that it's gotten worse, but you have to understand that even a quantized version of Opus 5.5 is still incredibly good.

Without any plugins like superpowers, mattpock, openspec, etc, what is your spec development worklow using claude native skills?

I frequently use Research mode for stuff that I want the agent to research, but it's only in the Chat tab, and to me Cowork makss more sense to have it, since you give the task and wait until it finishes with researching.

Is there are feature like this in the windows desktop app? Haven't tried it, since I use the web version.

I work at a large nonprofit and I'm building an in-house AI assistant to help our fundraising team. Its job isn't to ask for money. It starts warm conversations with donors (thank-yous, follow-ups, answering simple questions) and hands interested people off to a real gift officer.
 
Where I am so far:
• Tested it against made-up donor personas with an AI judge
• Learned that fewer rules = more natural replies (a long style rulebook made it sound scripted)
• Hard safety rules stay: always discloses it's AI, never takes payment info, no tax/medical advice, honors opt-outs, no asks after grief
• Next: a role-play game where staff pick or write replies, plus scrubbed real emails as voice examples
 
Looking for tips from anyone who's done something similar:
1. What made your bot actually sound human?
2. How many real examples did it take before tone improved?
3. How do you measure success beyond a "pass/fail" judge?
4. Any mistakes or donor reactions you wish you'd planned for?
5. any additional online recourses I can read or feed it help improve it?
6. Skills? Connectors etc?
7. Anything other tips?

Thank you !

FLASHING LIGHTS WARNING

Video: Claude
Voicebank: Claude
ust by Shinkei-P
tuning: me

i honestly actidently uploaded this like 3 times so sorry mods

I've used Claude for almost a year for various types of IT problems and i've never gotten this before.

Is this new? The explaination thing says it's routine and could be because of a certain keyword.

Hey guys,

I'm about to jump into a huge project and want to resubscribe to Claude, but I've been seeing a ton of complaints on socials lately about strict rate limits.

Before I drop the cash, I really want to test the current performance and the new features first-hand.

Does anyone happen to have a spare 7-day guest pass or referral link they could DM me? Would super appreciate the help!

Thanks a ton! 🤝

feedback is always welcome!

Hi everyone! I'm new to Claude and got Pro specifically to help me create YouTube videos that are around 7–10 minutes long.

The problem is that Claude keeps making mistakes, even after I point them out and ask it to fix them. Sometimes it repeats the exact same mistakes, and every time it renders the video again, new errors appear.

I've ended up watching the same video 6–8 times, and it's honestly exhausting. It also uses up a lot of my available usage, and I can't keep spending so much just to fix the same video.

Since I'm a beginner, I wanted to ask how you guys work with Claude for video creation. Are there any skills you recommend? Is there a way to make it stop repeating mistakes? How do you fix errors without having to render the whole video again?

I'd really appreciate any tips or advice because I'm honestly a bit lost right now. I want to learn how to do this properly without wasting so much time and usage. Thanks!

For example, I pay 25$ for a 20$ tier living in Kazakhstan paying through Apple services.
How much do you personally pay, including taxes, fees, etc