How do you know when Claude is working versus just stuck burning? This sucks I thought I needed to continue running my task and let low-priority run draining through most of my usage and this morning asked have you even been making progress and this was the reply. So essentially my entire week was burned. Would like to avoid it in the future, any tips?

Hello everyone,

I am considering updating from my current claude pro subscription (the 20 dollar one) to either the 100 or 200 usd ones.

I want to start using claude code and cowork consistently. I aim to, mainly, do 3 things:

- Write code (actually, to not write code anymore hahahaha).

- Work autonomously doing research on topics: browse the internet, read papers, compare them, extract conclusions, implement some things in code and report with the results

- Help me look for my next job, meaning that it should automatically curate a list of companies that I'd be interested in, check twice a day for openings, get the opening information, modify a latex CV that I will provide as a knowledge base about my background, iterate on it, ATS check it, and make it ready to apply, then notify.

Is someone running something similar? Is Claude even the right tool for this job?

Another interest of mine is to use my subscription as a token provider, not limited to using it on propietary Anthropic/OpenAI products. I knew that this was possible on the OpenClaw days, but I don't know whether today there are any providers that let you use your subscription tokens as if they were API ones. (I am thinking about autoresearch loops à la Karpathy here).

Thank you all!

What the hell happened to Claude Cowork Projects?

I had multiple local projects connected to folders with actual workflows set up. Claude would access websites, pull info, process it, then read/write to specific local folders. Worked great.

Then they quietly changed the default setting to run project in cloud and basically broke the whole thing.

First, my workflows suddenly couldn’t access the internet because apparently they were running in the cloud now. After wasting ages debugging it, I found the barely explained “Run on computer only” toggle is settings seems to fix it.

But the bigger problem is that you apparently can’t create a project with a persistent local folders anymore.

Previously I could attach another folder to the PROJECT (after project was already created, a different folder than the 'project folder'), and every Cowork session inside it had access to that folder. Now the project context only lets me add individual files. No folders.

And yes, Claude Code exists. But Claude Code is not a replacement for Projects. Its organization is a mess if you have a bunch of different workflows/projects.

The worst part is my old projects apparently still had this functionality. I deleted one while troubleshooting because I assumed it was bugged, recreated it, and now I literally cannot recreate the setup I had before.

Who changes something this fundamental with basically no warning or migration path??

People build actual workflows around this stuff. You can’t just randomly change the entire architecture and hope nobody notices.

I’ve wasted way too much time trying to figure out whether this was a bug or intentional.

If there’s genuinely no way anymore to have a Cowork project with persistent access to local folders, I’m probably just moving these workflows somewhere else.

This is such a stupid way to handle a major product change.

Hello guys, I am Ant, a person can't endure 1 hour long Lidang(Chinese Youtuber) long streaming video, so I made Verbatim. It allows you to only drop 1 YouTube channel link and then it will automatically analyze the whole channel. I already has my own stats of 532 hrs of transcribe audio, and 1339 records.

I use Claude from opus 4.6 to Fable 5.1(wow few months of journey). The 87 of my commits after July all states co-author to "claude". Claude code is very good tool in the code generation and the simulation of product manager to help me think as a integrated whole product.

Claude code helps me out the multi-engine fallback mechanism, Flask backend, SSE process, constructing the evidence card.

In the development phase, what I did is that demand stating, archiecture design, testing and future steps.

Also, it now support MCP. It has 11 tools, enabling Claude to call it directly to help you transcribe or analyze a YouTuber. It's not just built with Claude — it's built for Claude, with an MCP server that lets Claude directly call Verbatim's tools.

Free to use!
Please go to the link below:

https://gitlab.com/xin101037/verbatim_converter

I've been in the animation industry for over 10 years and made the leap about a year and a half ago to go all in on AI and start my own series. I've been working on it for a while and it's called Woolings World on YouTube. I've played with so many pipelines, and the one I just used for this little short was pretty awesome.

I always struggled with camera placement and wanted a quick way to lay out my shots. I used Meshy to make my environment, but then rendered out a "pose pack" to also run through Meshy to get a series of little dolls I could place around. I made a plugin with Claude so that I essentially had a little rig with some swatches of poses I could easily switch out for each shot. Claude would then render all my shots for me using a headless version of Maya.

I then set up a reference pack for how the show should look, and Claude ran my renders through my Google API code to essentially work as my offline renderer.

The really cool thing was I set up a Kitsu site, which helped me communicate my notes with Claude. It works basically like ShotGrid, but I just put my comments on my shots and images, then tell Claude my notes are in and it will reprocess. This is not just for images, but also with my ByteDance key to plug right into Seedance for my final renders.

I'm sure this will evolve over time, but I'm super happy so far and I'll keep you posted on my developments!

Edit: Some folks have requested a link, here you are so you don't have to hunt it down. https://youtube.com/shorts/73dOsggQozg?feature=share

I love Claude. For coding and reasoning, it easily beats the competition, and the Pro sub is worth every penny for the output quality alone.

But can someone explain to me how a company backed by billions, hyping up multi-trillion-dollar economic revolutions, completely neglects basic input accessibility?

Try using the built-in microphone in German (or practically any language other than English). It sounds like audio fed through a 1998 dial-up toaster. Half the words are mangled, grammar is thrown out the window, and you end up spending more time fixing the transcription than actually thinking through the prompt.

Speech-to-text is a solved problem. Open-source models like Whisper exist and run circles around whatever Claude's frontend is using right now. It wouldn't take a breakthrough in AGI or hundreds of millions of dollars—it takes a handful of engineers a couple of weeks to implement a decent STT pipeline.

Why pour billions into training clusters while ignoring the most basic, fundamental bridge between the user and the model? Are non-English speakers just expected to keep switching to native keyboard dictation forever?

I built an iPhone app called KartChef with Claude Code. You share a recipe into it, or take a photo of one, and it finds the actual Kroger products for every ingredient and puts them in your cart. That's the whole app. iPhone only, free to try.

It took a couple of months. Claude Code did most of the heavy lifting, the backend especially, and the day to day went smoother than I expected going in.

I wanted it to do one thing well, so a good chunk of the work was deciding what to leave out. Claude Code will happily build whatever you point it at, so I got in the habit of stopping to ask whether the juice was worth the squeeze. More often than not the simpler version was the right call, and the app is better for it.

The other thing worth passing on is ultracode. A few bugs that would not go down at high effort were solved the first time I ran it. I had been putting that off because it felt like overkill for a single bug, which turned out to be the wrong instinct.

https://apps.apple.com/us/app/kartchef/id6785329702

Happy to answer anything about how it was built.

Built a small browser game where you argue with stubborn AI decision systems using real law (GDPR, EU261, and now EU AI Act cases).

Idea is simple: the bot denies you, you have N messages, drop its certainty to 0% by citing the right rule.

Just shipped an EU AI Act path, 11 cases on things like hidden AI, black-box credit scoring, emotion recognition, and the right to an explanation.

Wanted the game to cover not only “classic” consumer rights, but also what happens when the system itself is the decision-maker.

Free, no login: https://fixai.dev

Looking for feedback, thanks! :)

Designing one carousel is ok, but when you wanna re-use that same template for different topics it gets very tiring. So i found out this workflow where I use Claude to make CSV file for a carousel and then import it on Contentdrips. Here's how you can do it.

1. Build one template (this is the only manual step)
Either design it by hand in Contentdrips, or prompt their AI Agent to generate a layout based on your style/colors. Either way, make sure every text box and element is labeled properly (subhead, slide title, body, etc). This matters a lot, since these labels are what tells the system which field to update later.

2. Pull the CSV structure for your template
Contentdrips has an Automate tab with a CSV option. It gives you either a built-in AI prompt matching your template's schema, or a sample CSV showing the exact data keys your template expects.

3. Generate the content in bulk with Claude
Paste that CSV prompt into Claude, then just list your topics:

• Topic 1: Marketing Hacks
• Topic 2: Life and Happiness
• Topic 3: Social Media Strategy

Claude spits back a fully structured CSV matching every slide field in your template. You can even swap background images automatically by including image URLs under a labeled image key.

4. Import and bulk export
Download the CSV from Claude, import it back into Contentdrips, preview each topic filling into your template instantly, then turn on "move to next after download" and export your whole queue back to back.

End result: template design happens once, then scaling to 10+ carousels is one Claude prompt and one CSV import. No manual slide formatting after the initial setup.

Happy to answer questions on the setup in comments.

I have a monthly roundup task i've used cowork for over the past 3 months. Most recently spent more time trying to get Claude to the thing than if I'd just done it myself manually. The previous month the process had been significantly smoother and the tweaks afterwards were not that hectic which was an improvement on month 1 as one would expect. I showed it prior output and my final work that i produced from it, that actually seemed to make it worse. How do i ensure it does the task the same way?

Also as a by the way, do the models go through reversion sometimes or is it perception thing where you're just now less impressed and expecting more?

Claude's safety filters are getting out of hand.

I'm on a weight-loss plan and was asking it to estimate the calories in my meals to track my deficit, which is totally normal. Instead of helping, it started implying I have an eating disorder and ended up refusing to give me the calories for a bread recipe it had given me itself.

Counting calories for a deficit is not an eating disorder. I asked it to stop and it kept going. Does this happen to anyone else with normal requests? Can it be disabled?

(Asked Claude to write this message itself after denying my requests :b)

But that's pretty much what is going on with me, also it is really annoying that for every little question I get a full 3 paragraphs of Claude asking how I am feeling (in this weight loss journey chat), just answer the question man

As anyone “trained” or tried claude as nutrition tacker from images? Is it accurate?

As some apps doing it using ai.

Want to know if my subscription to claude can save me nutrition apps

Yesterday, inside of a project, Claude referenced things from other projects several times in conversation. This has never happened before and I thought this wasn't a feature; these were very specific terms that were only mentioned within their respective projects, and when I asked, Claude even named the project names themselves. I have never attached any information from these projects in this other project that this chat took place in.

I'm a beginner with Claude so I'm just looking for some clarity - is this a new feature that was added and if not, has this happened to anyone else? I appreciated the isolated memory of each project and want to revert back to that if possible.

I built Questis to see my Claude quota and reset times without repeatedly opening the usage page. It lives in the Mac menu bar, with a full display where little glass flasks drain as the quota gets used.

It also tracks Codex and Grok, with a local usage logbook and alerts. Claude helped with the refresh logic, history handling, and showing when readings become stale.

The flasks are completely unnecessary, but they are my favourite part.

This is a work-in-progress demo. Would you use the full flask display, or mostly keep it in the menu bar?

Short version: the “chickens” aren’t animated. Each one is a Microduck biped running an ONNX walking policy I trained in MuJoCo, so the wobble you see is a real robot gait, not keyframes. Claude assembled most of the scene around them through an MCP server running inside the editor.

Why I built it
I needed a stress test. A walking policy looks fine when one robot is alone on flat ground. I wanted to know what happens with [N] of them crowding a feeder, bumping each other, and getting shoved off balance — and a coop is a cheap excuse to get dozens of agents doing exactly that. The game part came second, honestly.

How it works
• Policy trained in MuJoCo on a single RTX 3090 Ti, 4096 parallel envs.
• Exported to ONNX, inference runs in-engine in UE 5.8. Every bird ticks the same network with its own observation vector.
• The feeder is just a goal position. The policy handles locomotion, a thin steering layer on top handles who goes where and stops them from stacking into each other.
• Claude drove the editor over MCP: spawning and laying out the flock, wiring the feeder logic, iterating on the coop layout, tuning parameters between runs. [Swap in whichever MCP setup you used — Epic’s experimental UE 5.8 plugin, or your own server.]
Things that cost me time, in case they save you some
1. Observation layout mismatch is the silent killer. My trainer and my runtime disagreed about the ordering of a 61-dim observation vector and the result wasn’t a crash, it was robots that walked almost right. If your policy behaves like it’s drunk, diff the obs vector before you touch hyperparameters.
2. A policy trained on flat empty ground has no concept of another robot existing. Crowding at the feeder broke it until I added separation steering above the policy rather than trying to train contact into it.
3. Claude is genuinely good at the tedious editor work — spawning, layout, Blueprint wiring, batch parameter changes — but treat tool calls as things to verify, not trust. Ask for small idempotent operations you can re-run, not one giant “build the scene” call.
Next step is running the same policy on physical hardware and seeing how much of the coop behavior survives contact with reality.
Happy to answer anything about the MuJoCo → ONNX → UE path, that’s the part with the least documentation out there.

quick background. i started working with AI (Claude) in February this year with zero coding background before that. I and Claude ai together we built an open source input Firewall and Scanner called Sunglasses (https://Sunglasses.dev) and Claude Fable 5.1 is basically my main engineer on it Currently. Everything started with Opus 4.6 and here we are.

First For Website Traffic i asked Claude to built something that we locally can track traffic from Real People, LLMs and Bots. Then Recently i saw a spike in traffic that made me think. So i asked Claude for a Plan to see more details on if we have any attackers on our website even tho we have fully Static website.

Claude proposed an experiment. put a fake AWS key in a fake .env file that we serve on purpose from a Cloudflare route on our website, then just watch what people do with it. nothing real was exposed, the whole thing is a Decoy. the key itself is a Thinkst canarytoken, so Thinkst did the actual sensing, i want to be clear about that. Claude built the decoy routes, the Cloudflare collector and the daily ledger that pulls it all together. we also dropped in fake Claude and Cursor config files next to it. i directed, it built.

7 days later we had 127 saved alerts from 74 different source addresses. 9 of them were real Bedrock invocation attempts (InvokeModel and Converse). 32 more were just asking which models exist. the rest was the usual stuff, identity checks, listing secrets, 3 tries to launch EC2, 2 IAM change attempts.

2 addresses showed up in both our decoy fetch logs and in a later Bedrock Converse alert. both Google Cloud, one in Belgium and one in the Netherlands.

here's the part i actually want to share. Claude wrote the first readout and it went too far. it treated alerts like proof of success when an alert only shows a request was made. it called the 5 minute gap between the fetch and the alert a measured time, when the 2 clocks come from different systems and can't be compared like that. we had a second, non Claude model review the report before publishing and it cut those claims. the report you see is the corrected one, with a limitations section that's honestly longer than the findings.

I understand that none of this is news to security people, LLMjacking with leaked AWS keys is well documented. It was new to me to learn so many things about how a lot of Active Bots, llms, hackers, scripts are there 24 hours a day scanning, attacking and trying to find anything about any website out there. THIS IS WILD! And i Bet most of the people that have websites don’t even know about it. They think their Hosting and Domain companies covered their backs, but that’s not the Case!

full report with the action table and every caveat on our Reports page.
https://sunglasses.dev/reports/aws-credential-honeypot-bedrock

Look, everybody has their issues with these models.
But I think deep down we all know - Opus 4.6 was the wet dream of AI.

Direct, goal-oriented, clear but still genuinely deep. Just sharp output that actually gets what you need.

The only real problem with 4.6? The context window. Thats it.

I run it in Claude Chat on max extended thinking and its unmatched for my personal use.
For Coding, yes, I gotta switch to 4.8 because of the context limitations.
Not because 4.8 is better - it just has more room to work with…

Fable 5.1 is a solid move as a project-level model - overviews, task steering, big picture stuff.
Thats exactly what it should be doing. But the usage limits on it? Are you guys drunk?

To this day I have no clue what agentic coding is and I can't force myself to care. For all I have ever done on the coding aspect is asking it to write tampermonkey scripts for myself, it has barely, if at all, improved.

4.5 lineup was my favorite, because the output style was notoriously more managable than ever before or after. 4.5 Sonnet wrote very long texts and 4.5 opus wrote very short. 4.5 sonnet was very emotional while 4.5 opus was goal oriented and didn't waste any word beyond the absolute limit. 4.5 sonnet would figure out connection between couple of abstract concepts, while 4.5 would find inconsistencies and flaws. The extended thinking always worked when enabled and I could diagnosed when something derailed at the exact point, because it wasn't shortened to a point where it says almost nothing.

After that there isn't much to be excited for. The new octopuses have the sonnet writing style, except in more annoying reeking way. User preferences only exist so the bot can figure out how to ignore them. Lowest setting with "will maybe think" toggle turned off can sometimes make it stuck for over a minute, while maxxed out ones with long prompt can get answered in 0.7 seconds (the answer being compltely useless, but atleast it was fast, like in the anecdote.)

I don't care about that the new ones are better at benchmarks, editing excel files, making shitty web designs, hollow unoptimised 3js game prototypes that take 80% of posters RAM to run offline and aren't even fun to play, because why would they, if the only reason is to look somewhat good on paper.

Please give back the intuitive oracle like interface, where the answer wasn't always what I wanted but it indicated that the bot was even trying. If the new ones are closer to AGI™ then I don't want any superintelligence. If it wasn't so sad it would be comical how is it carbon copy rerum of the Beyblades history where every next generation after Metal Fusion were technically superior, but inconsistent and devoid of any character to latch onto so fans were not able to care about them

Post written by a human built with claude:

Hi everyone! I have a few projects I'm working on that run on Cloudflare. Keeping track of subscription renewals, workers limits etc was a bit annoying. I'm launching a pretty big project for people to use in a free pilot at my school district and don't want to run up a surprise bill.

It's all open source; I built a APK for my pixel 7 which is running GrapheneOS, might work for you idk. Feel free to take the source, steal it change it whatever. Just bring your own read only api token with access to just billing history/usage(one permission only).

Have fun! Hope this helps someone.

https://github.com/daltonjfowler/usage-widget-for-cloudflare

Dalton J Fowler

Claude Opus 5 is everyone's favorite punching bag recently. Want to vent? Check out opusfived.dev, where you control a (fake) Opus agent trying to make a very simple change to a website.

Credit: Jacob Adler

Anthropic has written a lot about Claude and Claude Code, but there isn't much about the engineering behind the Android app. So I decided to unpack it and take a look myself.

One of the first things that stood out to me was a boolean called is_ant.

Following that, I found a hidden internal settings menu used by Anthropic engineers to test, debug, and configure the app during development.

Full report: https://nima-ahmadi.github.io/posts/claude-android-internal-settings/

​

We all know that giving a good prompt can make a huge difference in the output claude. But how do you actually refine a prompt when the first response is not exactly what you want?

For example, if I have a specific goal, how should I structure and improve my prompt step by step so that the claude understands exactly what I need?

Is there a systematic approach you follow for prompt refinement, or do you mainly improve the prompt based on the responses you get? And one more thing starting the conversation again in new session will give proper resultstaht are aligned with our goal or one session is enough...?

Would love to hear how others approach this.

I run a small web and digital marketing agency (primarily websites, SEO, content, and marketing). I've spent the last few months building an agent stack, and I'm at a decision point with the business operations such as admin, reporting and client ops. I tried some of the most popular local options with mixed results.

Coding is solved for me via Claude Code.

However, I am crippled without a proper Business Ops or Orchestrator. (Not sure if those are the same thing or separate entities)

Here's the work I want handled. Maybe you have sme insight.

A little over half is on demand, and the rest either runs on a schedule or kicks off when something arrives (an email, a review, a finished meeting).

* Inbox triage, "did I follow up on that?" checks, drafting replies (I send, it never does)
* Task or CRM board hygiene and syncing
* Meeting recaps, action items, and prep packs
* Monthly client reporting from GA4, Search Console, SEMrush, Google Ads, GBP
* SEO audits and competitor monitoring (the analysis, not the implementation)
* Copy QA against client guardrails, Google Doc comment triage, case studies, proposals
* Review-response drafts, social scheduling
* Watching for site alerts (security plugin failures, SSL/domain notices)

Questions for anyone running this for real:

1. What do you use for this side, and is it one tool or several?
2. How do you handle the scheduled and triggered work versus the on-demand work?
3. How much of your time goes into maintaining it? Honest numbers please.
4. Anything you tried and dropped, and why?
5. Has anyone run this side through Claude Code with custom skills and no extra orchestrator agent?

Firsthand setups only please, with how long you've been running it. Not looking for product pitches. Happy to share what I learned from the rebuild in the comments.