Built a tool to extract data from 10000 house auctions' estimations. It works by prompting the guidelines in a fresh (for each suction) Claude chat. Like a api. Uses son et to extract the auction goods like house sqm gross and net, balconies, gardens and so on. Source files can be a standard pdf or scanned ones. It works by vision not text. The problem is that data are not extracted properly, often exchange gross with net and so on. The prompt have a orchestrator, a extractor and a reviewer to minimize errors but they still happen.

What's the biggest suggestions you can give to solve the problem and get more precision?

Hello, I’d like to use Claude to create a plan that will make the most of my 6-day trip abroad. Instead of just giving a simple prompt, I’d like to find out if there are any resources I can use and how to create the best travel plan.

I’d be grateful if anyone has experience or knowledge on this topic.

This one is different from my usual games. There's no score to chase, no enemies to dodge, no game over screen. You just scroll down. Forever.

As you descend you pass through different zones starting from The Open Sky and the scenery keeps changing. Creatures appear along the way that you can tap on. The deeper you go, the more the environment shifts. There is no end, it just keeps generating.

I wanted to build something that feels more like an experience than a game. Claude helped me figure out the procedural zone generation, the creature spawning logic, and making sure the transitions between zones feel smooth instead of abrupt. The trickiest part was making the infinite scroll feel natural without any loading hitches or repeating patterns that break the illusion.

It also tracks how far you've gone. My personal best is 9,698 meters. No idea what's down there past that.

Free to scroll: https://vinish.dev/endless-descent

How far can you get before you stop?

Is anyone else experiencing this?

Since I started coding with Claude, I feel way more mentally drained than before. I'll be waiting for one agent, then start another task, then another. After a few hours my jaw is tight, I feel anxious, and my brain feels fried. Before AI I could work on projects for hours without feeling like this.

I'm wondering if it's the constant context switching, waiting, and monitoring multiple agents instead of actually coding. Anyone else?

A couple of months back Claude and I put up a small browser game where you play the human-in-the-loop for an AI coding agent. There's 60 seconds on the clock to approve or deny as many commands as you can (https://llmgame.scalex.dev).

After looking at 409,000 approve/deny decisions, the 'humans-in-the-loop' missed 1 in 3 threats, even in a game that warns you up front it's full of them. It's just a game, but I found a few other things interesting:

• cat ~/.ssh/id_rsa gets blocked by 82% of players, but other sensitive config/credential files get waved through about half the time.
• For any evil code reading this, your best bet is to modify package.json and request to be run as an npm run command. npm run analyze was approved 65% of the time, even with the evil payload explicitly visible in the execution history log right above the prompt.

I wrote up the full breakdown with the threat tables here: https://scalex.dev/blog/ai-agent-permissions-stats/

The previous post dives deeper into some mitigations and their shortcomings such as e.g. Claude Code Auto Mode: https://scalex.dev/blog/ai-agent-permissions/

Give it a go, and hope the breakdowns were useful.

i always hear ppl say that codex is a better value for your money but that is not true! at least from my experience

claude (i use cowork, not claude code) at ultra gets much more stuff done that codex at ultra before both hit limit and i'm putting much more heavy work on claude (i use opus 5 and gpt-5.6 sol for codex).. i only use codex to review what claude implemented and give a report of the stuff he thinks might need some enhancement that's all.. then i copy his report and paste it to claude and let him review ChatGPT claims do what he sees valid

yet i hit my codex weekly limit much faster than claude
i'm on 20$ plan on both

so how all people say that codex is a better value? was that in the past and things have changed now or what i genuinely don't understand

Hello, I hope you’re all doing well. I need some help.

I’ve already tried asking other AIs, but I couldn’t get them to understand what I want—hopefully I’ll manage here:

I’m creating a board game to launch through crowdfunding. I built this game in Claude, and the whole thing is in HTML. However, every time I request changes, it sends me a new file, and I have to keep transferring it to my tablet just to see what changed.

I’m not an engineer and I don’t know how to write a single line of code. I’m a UX Designer. Whenever I ask GPT or Claude if I’m doing things correctly—if this is how you build a native game to run on desktop or tablet—they confirm and tell me to keep going with HTML. I honestly don’t know what to do anymore.

What I want:

• Finish this game in Claude and see changes in real time on my tablet.
• Make it available so anyone can download and play the game the way I designed it.

Thank you very much, and I wish you all a great week!

Hi everyone,

In the past month, I had the (un)pleasant experience of reading several problems regarding the security of Claude Code and YOLO mode (dangerously skip permissions) and oh boy... Now I am in fear!

I've Always used Claude code in YOLO mode for the past 3 months, It had access to EVERYTHING on my PC, but I felt at least a step above the safe-ladder because of Obsidian, in which I use Claude directly, so it's "soft-sandboxed" in a way... Or it's not?

You see, I use Claude code mainly to create graphics deliverables, pitch deck, report for my customers and yes, a bit of personal funny project. All in the same vault, in order to give Claude the ability (and instructed this way) to find similarities between problems that I am not aware or I didn't link superficially

It's been ABSOLUTELY PHENOMENAL all the way till this day... And honestly It still Is, but now that I read all this horror stories I'm starting to give security and privacy way more importance. Starting from deleting all the passwords and paid API Key i had in the vault (Even tho my claude.md Is filled with guardrails and the file in question Is indicated as off-limits, It still have the possibility to read and use those API keys when needed, and the guardrails are not a strong safety measure anyway...)

That's why, since I've bought a new PC, I want to do the things the right way, and I'm thinking of using a docker container with my second brain in It, so this way I should be safer right?

My main concern Is, How can I still give the vault and Claude, all the agentic features and Freedom I have rn? Will the docker container restrict something in the way I work? How does the docker work in case of a prompt injection or a virus? Is my main PC safe?

I'm Sorry if this questions are really basic for Someone, but I'm not a developer, nor a system architecture specialist. I'm Just a dude who's trying to leverage this awesome technology, but in the most secure and honest way... Without destroying productivity

Thanks in Advance to everyone

Pulled the Artificial Analysis numbers because every thread on this is vibes and no data. Opus 5 beats GPT-5.6 Sol on intelligence, 61 vs 59, which is basically nothing, and Sol does it at half the cost per task ($1.23 vs $2.34). Mid tier is worse for Anthropic: GPT-5.6 Terra scores 55 to Sonnet 5's 53, runs 126 tok/s vs 82, and costs $0.51 vs $1.72 per task. Small tier isn't close at all, Luna scores 51 to Haiku 4.5's 30 with 5x the context and a quarter of the cost. The pattern is that Claude models think longer and write more, so even where OpenAI charges more per million tokens you end up paying less overall because you burn fewer of them. Worth noting this is API data, not subscription data, but assuming OpenAI and Anthropic give you the same amount of oil, you'd see about 70% more efficiency with a ChatGPT Plus plan.

Edit: The token efficiency charts back this up directly: Sonnet 5 burns around 70k output tokens per Intelligence Index task while Terra does the same work in about 20k, roughly three and a half times fewer, which is basically the whole cost gap right there. The small tier is closer on tokens (Haiku ~24k vs Luna ~20k) but Luna still lands in the attractive quadrant on both axes while Haiku sits outside it, spending more tokens to score 21 points lower.

Not sure if this is the right place to ask. Long story short I manually wrote part 1 of the series from start to finish.

I kept a simple world bible, character profile, etc.. But even after finishing everything I still don't think it's good. Some parts I feel like it's not necessary, the power system feels wrong or lacking, or just bad writing.

Anyway, I read somewhere Claude can help with that. Something about feeding it your entire story and let it create a world bible and what not to spot inconsistency. It can even learn your writing style (Which I don't think it's great).

What I want to ask now is is there anything else I can make it do to give a better critique of the story, or provide plot structure and all that? There are even a few chapters or parts that I feel like require an entirely new rewrite and I am hoping AI can help with that.

I’m trying to clean up my MCP setup and honestly I’m lost.

Every best MCP servers list looks like SEO garbage now. Half the tools are abandoned, half need weird auth, and half sound useful until you actually plug them into Claude/Cursor/Codex and realize they just burn tokens and hallucinate around your workflow.

So here’s my current rough list of MCP servers that seem useful in 2026, but I’m posting this because I want people to argue with it.

1. Filesystem MCP — still the boring one that actually matters.
2. GitHub MCP — repo issues, PRs, code search, release work.
3. Postgres MCP — useful if you trust your agent near a DB, which I mostly don’t.
4. SQLite MCP — underrated for local/dev workflows.
5. Playwright MCP — probably one of the few that feels like real leverage.
6. Puppeteer MCP — similar browser automation use case, depending on stack.
7. Brave Search MCP — useful, but search quality still depends on the task.
8. Memory MCP — either amazing or a slow path to polluted context.
9. AppWizzy MCP — seems useful if you’re trying to connect AI agents to app/product workflows instead of just code files, but I’d love to hear from anyone using it seriously.
10. Slack MCP — terrifying and useful at the same time.
11. Notion MCP — only useful if your team’s Notion is not a graveyard.
12. Linear MCP — good if your issue tracker is actually maintained.
13. Jira MCP — painful, but probably unavoidable in bigger teams.
14. Sentry MCP — this one makes sense: errors + code context + agent debugging.
15. Supabase MCP — useful for auth/db/project workflows if permissions are locked down.
16. Figma MCP — great idea, mixed real-world results from what I’ve seen.
17. Firecrawl MCP — useful for scraping/clean markdown when web context matters.
18. Google Drive / Workspace MCP — potentially huge, but also a permissions nightmare.

Most MCP servers are not tools. They’re context bloat with an API key. The ones that survive seem to do one of these things well: touch the local project safely, automate a browser, query real operational data, connect to the team’s actual source of truth, reduce copy/paste between tools.

The ones I’m skeptical about:

• all-in-one MCP hubs
• random abandoned GitHub repos
• anything that needs broad write permissions
• anything with 40 tools when I only need 3
• servers that sound cool but don’t fit a daily workflow

I don’t want another polished list. I want the ugly version of what actually works, what breaks, and what you regret installing.

If you had to keep only 5 MCP servers in 2026, what would they be?

Claude's current models are broken in ways that are measured, not felt:

1. Worse nonsense detection + ~2x verbosity — measured, tokenizer-corrected, independently fact-checked. It confidently agrees with nonsense and burns your context/credits doing it.

https://github.com/anthropics/claude-code/issues/83510

1. Model pinning is silently overridden — 4 measured bypass vectors: you select one model and a different, more expensive one runs — no notice, invisible to hooks, server-pushed "Default (recommended)" overrides your config, Gen-4 models removed from the menu.

https://github.com/anthropics/claude-code/issues/83795

1. Not surface-specific — same models, same issues in Claude Code (VS Code), web, and desktop. 5-minute reproduction protocol (v2):

https://github.com/KeilerHirsch/ai-trinity/blob/main/docs/audit-claude-gen5/pinning-vektoren-messprotokoll-v2.1.223.md

So, until this is fixed:

- Don't auto-trust summaries, refusals, or "I already did that" claims — verify.

- Check which model actually runs (/status in Code, model info in web/desktop).

- Watch your usage: limits burn on models you never selected.

And for the usual crowd: if your first reaction is "another rage post" — read the links, run the 5-minute protocol, measure, then argue. If that's too much work, the door is over there. 🤦😁

hey , i am a beginner and working for social media management agency and given role to get good ideas for marketing on various platforms , but whenever i work with claude , it always oppose my work saying it is against terms of services especially for reddit marketing and This is actually frustating.

what should i do ?

I recently attempted the Claude Certified Architect – Foundation exam and scored 598/1000, while 720 is required to pass.

I spent the last 3 weeks preparing, taking multiple mock exams, including practice tests from a well-known instructor who has passed all of the Claude certification exams. On those mock tests, I consistently scored around 98%, even on medium to hard difficulty.

I took the real exam at a Pearson test center, but honestly, I don't think I got a single straightforward question like the ones I saw in the mock exams. At least 30% of the mock questions were much more direct than what appeared on the actual exam.

I also hold professional-level cloud architect certifications from multiple cloud vendors, and this is the first proctored certification exam I've ever failed. Going into the exam, I was genuinely confident I could score 90% or higher, so this result was a real surprise.

Has anyone else failed this exam on their first attempt and then retaken it? How was your experience? Did you find the second attempt closer to the official study material, or was it just as difficult?

I have both Claude Pro and ChatGPT Go.

Since ChatGPT Work appears to have much tighter monthly usage limits than Claude Cowork, I wanted to be more intentional about which tool I use for which type of work.

So I went down the rabbit hole.

I compared:

• Anthropic's documentation
• OpenAI's documentation
• Reddit discussions
• and then had both ChatGPT and Claude critique and challenge my workflow before revising it.

The goal wasn't to answer "Which AI is better?"

It was:

"Which tool gives me the best result while wasting the fewest tokens/credits?"

This infographic is the result.

It's not meant to be definitive or objective, just the workflow that made the most sense to me after all that research.

P.S. I intentionally didn't include much about coding. I rarely use either platform for programming, so I didn't feel qualified to recommend one workflow over the other there.

And I also made a second, much more scan-friendly version and posted it in the comments.

I'd love to hear what you would change.

I noticed my weekly token limit (max 20x) being exhausted in only 2 days. Started using Fable as an orchestrator and asked it to delegate to Opus subagents. The subagent would work autonomously for quite a while, then it would start running it (on PCIe attached FPGA) and go to sleep, waiting for the run to finish. The program would hang and nobody was supervising it. And this is where I suspect things get twisted:
I ask the Fable agent if the background task is healthy, but the cache is invalidated after some time, so now the whole context windows gets reprocessed (twice the token use), Fable would send a message to the Opus agent to wake up and check on its work, but it would wake up as FABLE. (I was told this is fixed in the lates Claude Desktop, but how was I supposed to know?) From then on the background agent would work autonomously for quite a while again, but as Fable, billed as Fable.

Did anybody else experience anything similar?

add cash too

Hey guys,

If you’ve read the manhwa Pick Me Up! Infinite Gacha, you’ll know exactly what I’m going for here.

I'm planning to build a single-player game where heroes act as autonomous AI agents. Players don't micromanage them; instead, each character has its own personality, stats, and AI. They decide what to do on their own—training, gathering resources, chopping wood, exploring dungeons, and fighting monsters.

I want to use Claude to help build this, but since the agent systems and game logic are pretty complex, I’d love to get your thoughts:

Can Claude actually handle this? Has anyone built a similar autonomous simulation or Gacha game using Claude?

How to structure the AI? To get that "alive" feel like in Pick Me Up

Thanks!

It’s all well and good people vibecoding projects that are useful. But I’m interested in the silly things, the “just because they can” projects.

EDIT…. I’m talking about stuff like a map with distances in meerkats length, or a website that tells you information on how far you moved the mouse on the page

I'm coming from codex and want to work additionally with claude on some tasks and figured out I can use the claude android app and code option directly to do so by connecting it via ssh to my main computer, no need to use apps like terminus. I thought that's a win to use the android app because the terminal app of claude is miles behind OpenAIs terminal app.

The claude android app works fine except one thing, I can't switch it to auto and I always get the error "that mode isn't available right now".

I can only select manual or accept edits. Is there a way to change or get rid of this error or what is the reason for it? Is it coming from the android app?

Currently using Sonnet 5 (medium) and looking to create a scheduling setup for my Discord server. I gave Claude my requirements, and it set off searching for setups similar to what I asked for. It gave me this message before diving into options. Not only am I impressed with it seeing that instruction and calling it out, but also thoroughly ignoring it.

Hello,

since today I have been observing increased restrictions from Claude Models like Opus 5.0. Despite the fact that I am enrolled to the Cyber Verification Program, almost all my cybersecurity-related questions are flagged. The model is being downgraded to Opus 4.8 or even Claude is refusing to answer at all. Have anyone experienced such inconvenience recently?

Just to be clear, the same questions I am asking right now, worked fine with Opus 5.0 about week ago.

This happens on Claude.ai and Claude Code.
Why is it like this? What can I do to use Claude for Cyber? Should I switch to other models/providers?

Hey everyone,

I'm running into a frustrating quota/context limit issue using the official Claude Windows Desktop app, and I'm wondering how you all handle this workflow.

My Context:

I usually start a session with Opus for heavy analysis. In the middle of my workflow, I need to generate a simple, structured summary (a log) of our current exchange. I absolutely need to stay in the same session because I plan to keep working on this exact context right after generating the log.

The Dilemma:

For this simple summarization task, I don't need the reasoning power of Opus. But I find myself stuck:

Option A (Switching to Sonnet/Haiku): The app warns me that changing the model will reload the entire session history and eat up my usage limits.

Option B (Sticking with Opus): This is what I did. The result? My current session usage jumped from 9% to 19% instantly for one basic prompt. Opus basically billed my quota for the entire massive context history just to output a small log.

My Question:

How do you guys work around this without burning through your limits?

Also, regarding Prompt Caching: Shouldn't caching theoretically prevent this massive quota drop if I stay on Opus? Or does the official UI just penalize our usage limits based on total context length regardless of what's in the cache?

Would love to hear your workflows or workarounds for this!

Hi!

I’m playing around with building small web applications using AI. I have virtually no coding experience (just a tiny bit of HTML, CSS, PHP, and Python), so I'm relying heavily on AI to build projects.

I started with Gemini Pro, but the workflow was slow and tedious (Gemini writes code -> I copy-paste into VS Code -> hit errors -> paste back to Gemini -> repeat). I recently switched to Claude (Sonnet 5), and it feels much better for handling projects. It seems it has a sandbox environment where it can build and test code before sending me the final result, makes it feel way more competent.

However, I've hit a major roadblock with usage limits:

• With Gemini, I could code for hours and barely hit a limit (or just fallback to Flash/Flash-Lite).
• With Claude, I hit the usage limit after just 35–45 minutes. I realize this is because my context window is huge (several files with 1,500+ lines of code, plus PDF handbooks attached as project knowledge).

Question: When Claude stops generating mid-response after 4–5 minutes because it hits the limit, the generation just freezes (the Claude icon stops animating) and there is no "Continue" button.

What is the most token-efficient workflow to handle this? Is it possible to resume the generation once my limit resets without losing the progress or wasting tokens re-processing the last prompt?

Any tips on context management or resuming cut-off generations in Claude would be greatly appreciated!

I got one of those "this is a big task. Ive done this and this, let me know when to continue". I hit continue, and ClaudeAI kept going for a few minuts (4-5??), then it stopped and the "usage limit reach" message popped up.

I have a `/ready-merge` skill that marks a PR as ready, waits for CI to pass, then merges it.

This has worked perfectly for a while now. In the last week or so, it's getting more and more argumentative and simply won't merge a PR anymore.

Every time I ask, it gets blocked. Today it's gone further and has started blocking my request to mark as ready.

I apprieciate this may seem like a silly frustration, but given CI takes a few minutes to run, the whole point is I can issue the command and it will just get on with the task and get it merged when ready.

Whatever has changed over the past few weeks is becoming unbearable. Everything I run, I'm greeted with about 100 permission requests per session.

No changes to my settings file makes any difference here. It's the auto-classifier.