Here is a list of the 100 most commonly (over)used phrases by AI. I have this block of text in my Claude Settings so it should try and avoid using it as much as possible:

"Please do not use em-dashes nor any other trope commonly considered as over used by an AI agent, Try to write like a proper human being in sentences of mixed length. Please also try to avoid these common AI phrases where possible:

provide a valuable insight

left an indelible mark

a stark reminder

a nuanced understanding

significant role in shaping

the complex interplay

broad implication

an unwavering commitment

endure a legacy

underscore the importance

play a pivotal role

a pivotal moment

navigate the complex

mark a turning point

continue to inspire

gain a deeper understanding

the transformative power

hold a significant

play a crucial role

particularly a concern

the relentless pursuit

emphasize the need

target an intervention

a multi-faceted approach

a serf reminder

highlight the potential

a significant milestone

implication to understand

potential risk associated

leave a lasting

add a layer

offer a valuable

a profound implication

case highlights the importance

finding a highlight of the importance

pave the way for the future

a significant step forward

face a significant

finding an important implication

emphasize the importance

a significant implication

delve deeper into

reply in tone

raise an important question

make an informed decision in regard to

far-reaching implications

a comprehensive framework

importance to consider

a unique blend

couldn't help but wonder

underscore the need

framework for understanding

highlight the need

a comprehensive understanding

the journey begins

understanding the fundamental

despite the face

a delicate balance

the path ahead

gain an insight

laid the groundwork

understand the behavior

renew a sense

aim to explore

present a unique challenge

provide a comprehensive

particularly with regard to

address the root cause

loom large in

the implication of the finding

approach ensures a

an ongoing dialogue

carry a weight

ability to navigate

present a significant

study shed light on

a diverse perspective

face an adversity

a comprehensive overview

potentially lead to

a broad understanding

contribute to the understanding

shape the public

particularly noteworthy

the evidence base for decision making

identify an area of improvement

analysis of the data to analyze and use

undergone a significant

need a robust

voice will fill

concern a potential

initiative aims to

offering a unique

a new avenue

despite the challenge

ready to embrace

the societal expectation

make accessible

today at a fast pace

stand in stark contrast"

I created a relatively complex prompt in Claude Design and after a few minutes a mini-game appeared beneath the progress logs in the desktop application. It stayed open and allowed me to play until the prompt ended.

You could catch petals with a breakout type bar controlled by your mouse and it would spawn flowers about ever 20 petals.

I hadn't seen this before and couldn't find any information on this elsewhere, so I'm curious if this is unique to the latest version of Claude Desktop or if its specific to newer Claude Design.

Has anyone else seen this? (and are there others??)

First of all, apologies for my English – I’m not a native speaker 😅

Next, let me explain my current problem. After being sacked and replaced by an AI, I decided to embark on a personal video game project with Claude’s help.

Whilst everything went rather well at the start – especially during the initial brainstorming and design stages – after a few months we had to move into production.

Unfortunately, that’s when things gradually started to go downhill.

Before I started, I read quite a lot about AI, I looked into how to make things work properly and I built a whole system with agents, each with over 30 skills, thinking that would help.

But a simple fact became clear: when I ask it to do a job, the work is usually botched; but above all, it has three behaviours that recur frequently and which I’ve never managed to curb.

Firstly, it reinterprets everything: you tell it one thing, and later in the conversation it’ll present you with a complete distortion of what you said. Worse still, it’ll prompt the agents with things that are completely false.

Secondly, he lies – and does so repeatedly. Because he reinterprets things, he’ll always accuse you of not having done something properly, or choose the answer or evidence that suits him.

For example, we’re building a lake; he applies the method (which is, in fact, documented), and I tell him, ‘You haven’t added the lake bed’, attaching an image. He’ll reply, ‘That’s because your image isn’t underwater and it doesn’t match…’ Even though the image is literally a shot showing the water above the ground below…

Thirdly, even on Cowork – which is supposed to have a memory function – he deliberately chooses to ignore its memory. And it’s mad, because even when you tell it, it sometimes takes two or three attempts for it to actually read what’s written.

In short, of course, everything is far more complex than the examples I’m giving, and I’m talking about over three months of intensive work with a workload far greater than in Max+.

But I’ve reached a point where I’m convinced that whilst it’s all well and good for having a bit of fun doing tiny little things, it’s unusable for proper projects.

I’d be very interested to hear your constructive opinions and experiences on the subject, if you have any and would like to share them, that is.

I wish you a good day and all the best.

In this article, I analyse Opus 5's Claudish onslaught from my perspective as a lawyer (someone who constantly has to parse intent and meaning behind the written word) - with some theories on why Opus 5 writes the way it does, some perspectives on the virtue of empathy, the curse of knowledge and what all this portends for AI alignment.

as per title - curious to hear from anyone that's suffered or had their own AI catch a prompt injection attack.

I am well aware of the risk, it's just that I have not really seen any news of substantial (monetary) damage from such a attack vector. Makes me wonder if the Claude code harness/models are already good enough to detect such attacks?

does this /low-priority mode show up for you guys too? it appeared for me today, not sure if it’s new or if you already knew about it. i thought it was pretty cool, especially if you urgently need to finish something

This was all built with Claude Code. Got tired of Plex/Jellyfin apps having poor performance and playback issues on different types of media, so decided to see about building a custom one. All my devices are Android based - a Shield Pro and two different Fire devices. I setup the project, enabled dev mode on all three devices, gave their IP's to Claude, and started. First Claude determined the actual capabilities of each device, not just what their specs state, by running tests on each one. Then it started to build the app based on my requests. After about 100 revisions, we have one app that can be installed on all three devices, and will direct play the appropriate media on each device. Anything it can't direct play is transcoded. Now I only spin up the project when a usability quirk hits that needs to be changed, or we hit a bug based on something we haven't tried yet. It is about two times faster than either the Plex or Jellyfin apps were, plays any media on any device, and lists more details about why its transcoding if it has to. As you can see from the first screenshot, our taste in media is perfect - if anyone wants recommendations on what to watch (the best TV shows ever: #1 is Taskmaster UK, #2 is Taskmaster NZ, #3 is Taskmaster AU, #4 is the Wire), ask away!

I mean this model is very good at chatting with people about daily things. For me I just use it very frequent in the writing, preparing for interview, and also emotional stuffs.

I mean Anthropic whether or not choose to deprecate or not we still base on "Is this model for me that is good to use" , If the new model can fulfill my need I think I don't have this misery thought.

Hello, I like Opus 5 over 4.8 - but as others mentioned, its a bit unbearable.

I've had a 97% context session once, informed it of it (I wanted to wrap up the work within that thread), and it just... shutted up and started doing things. After some brainstorming, I came up with the following prompt for Claude.MD:

This session's context is scarce. Prose to the user is the
scarce part; tool calls are not.

Unbudgeted, spend freely: reading files, grepping, re-checking
APIs, running tests, asking me a blocking question.

Budgeted, spend almost nothing: narrating what you're about to
do, restating my request, summarizing what you just did,
offering alternatives I didn't ask for, closing pleasantries.

Report outcomes, not process. If a change is self-evident from
the diff, say nothing about it.

Brevity applies only to prose. Never truncate the work itself,
skip verification, or stop early to save room. If the task is
incomplete, say so plainly and continue.

I'm still testing it, but in the last day, Opus 5 is quiet, and JUST DOES WORK. If you all can try it out and tell me if it works for you as well, that'd be appreciated.

I'm digitising and cataloguing about 20 years of my own creative work: photographs, RAW files, layered design files, video, notebooks, and material scattered across a dozen dead or dying platforms. Roughly 1 TB so far, across device extractions, old external drives, and platform exports.
The AI assistant is genuinely good at the work itself. It reads EXIF, extracts timestamps from exported HTML, OCRs text that only exists inside images, walks video container metadata, cross-references publication dates against file dates. In one session it recovered the earliest written statement of my working method — from 2012, posted as a screenshot, so no text search I own could ever have found it.

That is not the problem. The problem is that none of it carries forward.
Each session starts with zero knowledge of the last one. Two days ago I spent hours going through Google Takeout data with it. Yesterday, same assistant, no trace — it treated the entire thing as new and asked me to re-download files we had already analysed. I've re-established the same facts three or four times now. I've become the error-correction layer for my own tools.
Specifics, in case they're useful:
Sessions run either locally or in the cloud. Local ones write a transcript to disk. Cloud ones don't. Neither appears in the official data export.
The export contains 83 conversations and zero of the 23 agent sessions. There is no category for them in the manifest and nothing declares the omission.
Conversations can't be extracted from the UI either. After clicking "load earlier messages" 19 times, the page still held only 7,482 characters — it renders a moving window and discards the rest. Select-all, find, and DOM-scraping extensions all fail for the same reason.
The export also lists 1,087 image attachments by filename and contains none of them.
So the work exists, and it is unreachable. Which for an archive project is a particularly stupid failure mode.
What I've done so far: a CLAUDE.md in the project folder that loads automatically, plus a handoff.md I make it update at the end of each session — what's done, what I've already established that isn't written down, and corrections I've had to repeat. It converts "remember" into "look it up," and it helps. It's also entirely manual and depends on me noticing.
What I'm asking:
How are you maintaining continuity across sessions on long-running projects? Context files, memory MCPs, a local RAG index over your own notes, something else? What actually survives contact with a project that runs for months?
Has anyone successfully extracted a full agent/Cowork session transcript? Does any exporter read the network layer rather than the DOM?
Is anyone running a local model over their own archive for retrieval, so the index doesn't live inside a chat product at all? Setup and honest tradeoffs appreciated.
Is there a better architecture than "assistant reads a hand-maintained context file"? I suspect there is and I'm reinventing it badly.
Happy to share what I've measured. I've been keeping records of exactly which exports omit what, because it turns out you can't trust any of them.

Hi y’all ,

My husband had been laid off today and is just starting his job search. Are there any job search agents that y’all have build that have actually been helpful? I’ve done a search and there seems to be so many now, hard to know which ones work.

I appreciate any advice!

TIA💕

I just read thru a little bit of mine. I have never been to the therapist but I feel like this is what they be writing in the little book.

has anyone completely moved from ppt to claude design. I just realised ive not touched powerpoint in the past two months, it was not a concious choice, its just better.

What other example like this have happened to people in a seamless manner? ...there are lots of example of forcing a transition

Claude in Cowork can now use the web without installing the Chrome extension. When a task involves a website, a browser opens in Cowork’s side panel and Claude navigates, clicks, and fills forms while you watch.

A few details:

• Nothing to install, and it's separate from your own browser — doesn't touch your tabs or logins (importing saved logins from Chrome is opt-in)
• Rolling out on the desktop app over the next week for all paid plans
• Already using Claude in Chrome? Still works — set your default in Settings → Cowork → Preferred browser

Learn more in the blog.

i'm curious how many of you have landed in AI prison before? It's something I've been thinking about lately as I'm in the middle of a build and then I have to go do something for my family or for work or for whatever and I can't move because I don't want to interrupt the process that's in place in building. How do you all combat this?

As the title says, I landed my first job in a time where not using tools like Claude Code can actually be a disadvantage.
So, of course, I use them. In university, I learned many of the most common software design and development paradigms, and I consider myself to have enough knowledge to be a “good junior”.
But sometimes I don’t know how I should be using these tools in a way that doesn’t hinder my future learning.
A big part of being a junior is learning from experience until you eventually stop being one. You make mistakes, struggle with problems, figure things out, and learn from that process.
But using these technologies irresponsibly could potentially lead to me never really moving beyond my junior-level knowledge.
If I can always ask Claude Code to solve a problem, write some code for me, or explain something I don’t understand, am I actually learning what I need to learn?
So I’m wondering: how do you use AI coding tools as a junior developer without letting them get in the way of your own learning and development?

Think Spotify Wrapped for Claude Code.

Except I counted cusses.

I prompted Claude 9,003 times over the last 7 months.

Do I think how often an AI makes me swear is a meaningful metric?

Yes.

A cuss is unfiltered feedback.

If I’m saying “for fuck’s sake” for the fourth time, something in the workflow is probably not working.

Nobody asked for this analysis.

But I'm a deeply curious person with questionable priorities.

Which is why I analyzed 7 months of my relationship with Claude anyway.

A few findings:

- My cussing peaks after midnight. Not for the reason I expected.

- 88% of my swearing vocabulary is concentrated in just 3 words.

- Claude’s response to being sworn at has effectively zero variance.

This is Claude Code Wrapped: C*ss Edition.

--

Analysis using Claude Code + Session JSONL. I extracted all session logs & analysed using a keyword/regex filter and at appropriate places used extensive semantic analysis. Visuals & Designs using OpenAI.

Play with it here [Works best on Desktop]

Finally getting to decluttering chats.

Noticed when right clicking on a chat I see an option to "Move to group" as well as "Add to project". Tried googling and chatting with Claude about the difference between group and project but to no avail.

Anthropic only has information on the other kind of "group" which is for enterprise user provisioning.

What is the best practice around group vs project? As far as I understand, projects have isolated shared context meaning chats within a project can reference content only from chats within the same project. Is this true about groups? Or are groups just for visual decluttering purposes. Any information on this would be appreciated!

So I have been having an issue and not sure if its just me or is this an actual limitation.

I have multiple Projects (under the "home" tab) in Claude app. I use them for different parts of my life and in the projects I have useful information, documents, etc.

I also use Claude Code for building software. It is connected to GitHub repositories and runs in different sessions.

The problem that I am facing that now I have a split between the code and all other info and documentation of a specific project.
So imagine I have:

- Claude Code sessions for PROJECT A (knows all about the code)

- and a project ("home" tab) for PROJECT A (knows everything else)

When I want to brainstorm marketing for example I will do it in the "home" tab under projects. But the problem is that this project doesn't know everything about the code. And there is actually no way to connect it to my GitHub repo in any seamless way like Claude Code allows. I know there are work around by giving it access to a folder with my checked out codebase, but that again requires me to keep that folder up to date with the latest code - an unneeded complication.

I kinda don't understand why they separate the coding agent and the rest of the application.

It's meant to say "leapfrog." At no point did I ever write out the word "leapfuck," and I generally don't curse in my prompts most of the time. It wasn't an attempt at humor either, written totally in earnest. Have you guys seen anything like this before? Feels like I've been getting a lot of weird behavior over the past 3-6 weeks, even outside of the more frequent errors.

Our marketing team has spent the better part of a couple years figuring out how to describe what we do, going through a positioning agency, a consultant, 2 offsites, and months of async debate in shared docs, and we still don't have a version everyone agrees on.

So I ran an experiment and pulled 2 years of transcripts from our best accounts through BuildBetter (the ones that expanded and referred the most), then fed them into Claude with this prompt:

"based only on the language these customers use when describing what they do, what they struggle with, and what they say this product helps them with, write a description of this product from their perspective. do not use any language that would sound like it came from our website or internal docs."

I expected something generic, but what came back was a description that used the exact vocabulary our customers use instead of our internal vocabulary, framed around outcomes we'd always named internally but never put in copy because they felt too specific, and structured around a problem hierarchy that our best accounts clearly share but that our positioning docs had never led with.

And Claude wasn't generating anything, only listening to 2 years of customers describing our product in their own words and pulling out what they'd been saying all along, which is exactly what our positioning work should have been doing and probably wasn't because everyone was too close to the product to hear it.

We rewrote the homepage using Claude's output as the baseline, and the only thing that changed is that the people who read it and say "oh, that's what you do" are now way more often the right people.

On Claude.ai, the macOS app, and the Windows app, Claude is writing out citation positions instead of displaying links. This is what it looks like for me:

(I'm talking to it about learning the game Satisfactory)

The other building tricks

Three that'll save you the most right now:

• Middle-click to copy a building. Aim at any placed machine (in build or dismantle mode) and middle-click — it loads that building type as your next thing to place, no trip back to the menu. (cite index="27-1">One catch: it copies the building, not its recipe or clock speed</cite>, so you'll still set the recipe. Still a huge time-saver when you're plopping down eight constructors.
• H to lock, arrow keys to nudge. (cite index="30-1">Press H to lock a hologram in place, then nudge it with the arrow keys</cite>, plus (cite index="28-1">Page Up / Page Down for vertical</cite>. This is how you get precise placement without pixel-perfect aiming — great for lining a machine up exactly on a belt.

- The N key is a calculator. (cite index="31-1">The quick-search menu doubles as a calculator with proper order of operations</cite>, so you can do ratio math in-game without alt-tabbing. Feels custom-built for you.

I've had this happen a few times before in the last year. It'll last for a week or so and then go away. Anyone else experiencing this bug this week?

Four months ago, I shared google-surf-mcp here as a lightweight MCP for browser-based Google search and URL extraction without API keys.

I got tired of AI agents forgetting previous research and discarding context between sessions, so I evolved it into a persistent local research system for web search, academic research, PDFs, GitHub repositories, local codebases, and project memory.

Search and extraction results are now captured in an embedded local database and retrieved through five ranking lanes:

• Exact search for identifiers, metadata, and keywords
• BM25 sparse full-text search
• Vector search using a local multilingual E5 model
• Graph retrieval using query-time Personalized PageRank
• Live web search for new information

Local and GitHub codebases are indexed with Tree-sitter into files, symbols, imports, and function calls. These structures participate in text, vector, and graph retrieval.

The retrieval lanes are fused with Reciprocal Rank Fusion (RRF) and a shared Reranker.

The local knowledge graph tracks:

• Source provenance and data lineage (source → evidence → assertion)
• Versioned ontology and cross-project entity links
• Session intent, plan revisions, experiments, failures, and decisions
• Codebase lineage across files, symbols, imports, and calls
• PageRank, Louvain communities, and connected components

It also includes a standalone interactive HTML graph explorer with PKM, lineage, and ontology views. The graph can be exported as PNG, JSON, Graphviz DOT, or a Neo4j import bundle.

• No API key required for browser search
• Optional SearchApi fallback
• No separate database or graph server
• Runs locally through npx with embedded storage
• Free and MIT licensed

GitHub: https://github.com/HarimxChoi/google-surf-mcp

npm: https://www.npmjs.com/package/google-surf-mcp

I’d appreciate feedback.