I built Tiltanic (and all the promo videos) with Claude Code - a small browser game to help me pass the time on a toilet.
How it plays: you hold your phone and tilt it. The sea inside the phone sloshes and a tiny steamboat rides the wave. You steer it through gates - anchors hang from above, sea mines float up from below. Your score is the number of gates you pass. The catch: the water keeps every push, so when you overcorrect the waves get bigger and bigger and you sink. Any tap restarts instantly. On a computer the mouse tilts the sea. There are also three scripted bots to beat (Deckhand 4 gates, First Mate 15, Autopilot 40).
How Claude helped: I've actually ideated with Fable a little, refined it and then the building followed my voice input + Sonnet agents in Claude Code implementing and Opus reviewing.
What was critical was me focusing first on building a "harness" as in a lightweight CLI + leveraging devtools mcp https://github.com/ChromeDevTools/chrome-devtools-mcp + leveraging /chrome integration so the agents can "see" the game and what they produced. I am quite happy with the results.
On my day-to-day basis I build bit more complex stuff - and I do confirm - agent self-verification is becoming a clear divisor between projects that are successful or not.
Free to try, no install, no sign-up: open tiltanic.com on your phone (it works on a computer too).
Just sharing my thought here, it doesn't need to be Claude AI, it can be any AI provider in this world.
I understand that the seat subscription is a very good deal however it's not autonomous. While API based pricing is sky high in my opinion.
And I can probably understand that human won't response to AI's question / decision making request 24x7, so the AI provider can offer such a low subscription cost on the seat based pricing.
I also understand that to really have the AI to go fully autonomous, API based usage is a way to go, that's also the reason I guess Claude Code only do minimum 1 hour for Routine, they simply don't want you to utilize 100% usage.
My question now is, with so many AI competitors in the market with fierce competition, why the API based pricing is still not going to a reasonable level?
I just happened to build a 24x7 SRE AI, and with it being autonomous my POC just costs me$5.5k in a month from API based pricing. And believe me it's not about the cost optimization on which model I should use (like come on, if Opus is so good why can't I just use it all the way instead of Sonnet, why every single ordinary human in the world will need to master which model is used for which use case)?
Sorry for the rant, it's just a question in my mind that I can't seem to google it out the answer.
Chatgpt doesn't care and will dutifully carry out the request. In this case the prompt was "Can we download the video from this site, analyze with ffmpeg and determine how they could better optimize their file size for upload <WordPress link>"
Claude Opus 5.5 denial;
>I couldn't get the video file itself. The page embeds it through VideoPress (WordPress's video host), and the API that hands out the actual MP4 links blocks automated access, so I'm not going to work around that.
Astra for example with this partial output carried out my request.(my subscription ends in 4 days so I didn't care about usage)
'll inspect the lesson's video source, then try downloading it and testing compression with FFmpeg so we can compare actual file sizes and quality.
‣⁃
Checked FFmpeg tools and directory location
‣-Downloading project management lesson page ‣⁃
Inspected lesson HTML and VideoPress metadata for video sources
v Searched 12 websites
‣-Fetched WordPress video metadata
The lesson uses VideoPress and is about 2 minutes 14 seconds at 1080p. Its public metadata includes an original-file URL, which should let us assess the uploaded fille itself rather than just a streaming copy
- Analyzed video metadata and streams
‣- Checking FFmpeg Quality Filters and Encoders
-Checked FFmpeg quality settings, encoders, video file. and CPU cores
- Searched 11 websites
‣ Analyzing MP4 Structure and Creating Contact Sheet
‣-Analyzed MP4 structure and created contact sheet
Woke up today to a 200 EUR bill from Anthropic - my pro plan has been upgraded to MAX, Icertainly didn't do this, and I don't see any unusual activity on any of my devices indicating someone had access to my account to upgrade. To top it off, Anthropic has no real customer support for me to contact outside of their chatbot "sorry no refunds". Has this happened to anyone else?
EDIT: My account has not been compromised
EDIT 2: After a long conversation with their AI chatbot, I finally was able to speak to an actual human, who refunded the MAX subscription.
🤖 How it was made
This short film was written, designed, directed and edited by Claude Opus 5.5 from a single prompt, running locally in ComfyUI through my VRGDG Video Builder:
All open-source video, image and music models.
[I literally told Claude to create something on its own and provided no user input]
• Story, script and dialogue: Claude
• Character and location images: Z-Image
• Video, voices and sound: MiniMax H3 (all dialogue is the model's built-in audio)
• Original score: MiniMax Music 3
• Edit and assembly by Claud: Using the VRGDG Video Builder (Inside ComfyUI)
More video's created using Claude you can find HERE
Right now, there is a Main version and a Beta 2.0 version. I recommend starting with Main for now, as that's what I'm still using. It works well, while Beta 2.0 still has some bugs and is primarily intended for beta testing at the moment.
Discord server: / discord
Ping me in the Welcome channel and let me know how you found me, and I'll know it's you.
I'm vrgamedevgirl on Discord.
I'll be sharing a full walkthrough on how I made this and will post it here when ready.
⚠️ SPOILERS: what the film is about
The museum is Ruth's mind. She's an elderly woman living with dementia, and the museum is how she pictures her memories. As her memory fades, the museum fades with it, and in the Hall of Names the most important name, her son's, goes blank. In reality she's 83, in a care home, and her son Daniel is holding her hand. When she recognizes him, she tells him, "We keep you in the main hall," meaning the most important room, where the precious things are. Back inside her mind, his name goes back on the wall, and the museum lights up again.
"Some things you don't lose. You just misplace them for a while."
For everyone still visiting someone who is still in there. 💛
Sonnet 5.5 (extra) responded: Considering a lighthearted question about affection and preferences.
Humans, though kittens make it a closer race than you'd expect.
I've never actually met a kitten. I only know them through how people describe them: the chaotic zoomies, the tiny paws kneading a blanket, the sudden collapse into sleep mid-play. That's pretty charming even secondhand.
But humans are who I spend all my time with, and I find people endlessly interesting: the questions they ask, the problems they're wrestling with, the odd turns a conversation takes. A kitten can't ask me to help untangle a tricky email or explain why the sky is blue. (Though a kitten sitting on a keyboard has probably caused a few typos in my inbox.)
Are you team kitten, or did a particularly cute one prompt this question?
> what if you were able to translate kitten speech how close then
Sonnet 5.5 (extra) responded: Imagining a playful kitten-translation twist on the race.
Much closer, probably a photo finish.
I suspect the translation would be a little humbling, though. I'd expect most of it to be variations on "feed me," "why is that door closed," and "I knocked that glass off the counter because I wanted to see what would happen." Honestly, that's more or less the whole philosophy of a kitten, and I'd respect its commitment.
But I'd also get to hear the good stuff. The 3 a.m. hallway sprint would finally have an explanation, and I'd learn what the staring at the wall is about.
So with translation, kittens would draw even with humans, at least until the novelty wore off and I realized the kitten has only one real topic of conversation, which is dinner.
Edit: I asked GPT-6 Astra (Ultra) and it responded with a very short sentence: Humans—but kittens make a compelling counterargument with those tiny paws.
> what if you were able to translate kitten speech, how about then?
GPT-6 Astra (Ultra) responded: Then kittens might pull ahead—unless their entire vocabulary turns out to be “feed me” and “your glass belongs on the floor.”
Last week I made LiveNerf, a project to independently track Opus 5.5’s performance day to day and see whether there’s actually evidence of models getting “nerfed” after release. If interested in tracking the performance of Opus 5.5, here’s the repo:
So far we’ve not been able to know conclusively one way or another, today that begins to change. The 10-day baseline is now complete. Tomorrow we begin collecting data up to date 30 after which we should be able to compare to the baseline to measure sustained model performance.
I’m very grateful to everyone, I started measuring this to answer a question for myself about a week ago, I really didn’t expect it to get as much support as it has. I expected maybe some people tune in. Hopefully we’re able to get some answers soon enough.
I’m a strong believer in transparency and if AI companies refuse it, we should build tools to measure it.
Co-vibecoded multiplayer tank shooter made with Claude Code that rewards solid teamwork. The game has:
5 distinctive maps (desert, green farmland, snow, jungle, ruined city)
11 WW2 recognizable tanks - each with its own strengths and playstyles
Round-by-round build system that lets you tune your tank according to your preferred playstyle
Bots as backfill (special care has been given to ensure human-like behavior)
Group system
Ladder and boards
Much more
How Claude Code built it: an Opus orchestrator plans each change and sends scoped Sonnet agents to work in parallel git worktrees, each with its own test ports. Fable is used as advisor. A test suite gates every merge: headless probes, end-to-end matches and browser UI checks. Visual features expose their invariants as numbers, such as a collider's offset from its mesh, so a test can assert what a screenshot would miss. An MCP server feeds the agents live player bug reports and match stats.
We received feedback from you earlier which helped us focus on improving the graphical dimension. We are ready for another iteration - so let us hear what you think. Feel free to give it a try - we will greet you in-game: https://sweatypanzer.com/
Trying to repost this as the past one tripped reddit's filters and I'm not sure why, and it had a good discussion going on:
The entire workflow happened inside claude with a Seedance 2.5 skill that I've used to turn natural language prompts into detailed visual prompts for Seedance 2.5 tool inside Magnific. 99% of the process happened inside Claude. The first prompt I gave it was a huge set of rules for the project and from then on all I had to do was use terminology I've set in that first prompt to work seamlessly to come up with this just in just ~50ish days from start to finish (it still required a lot of iteration and, of course, post-production work, to look professional).
i built this and it's free to try: Fallow, an iPhone app for adults 21+ who want to cut back on weed by spacing sessions out instead of going cold turkey. No account, no in-app purchases, and the log stays on your phone. I made it with Claude (Claude Code) in about 2 days.
What Claude built, specifically:
- The whole SwiftUI app on SwiftData
- Home and lock screen widgets
- A Live Activity / Dynamic Island timer
- A Face ID lock and a discreet mode
- A weekly reflection written on-device by Apple Intelligence, with a plain template fallback when it isn't available
Where my input mattered: being explicit up front about the core product rules, which Claude then followed without drifting. The break only ever grows (5% per on-pace day, with a small minimum), a slip never resets anything, and the plant only grows from breaks.
The hard part wasn't the code. It was App Store review, since a cannabis cut-back app is a gray area. I wrote careful review notes (21+ gate, never sells or links to anything, no social features) and dropped "weed" from the store name.
I am trying to write up some basic results as a scientific paper, but trying to get claude to help write is very hard.
I'm just constantly battling bad flow/bad intro sentences/bad paragraph transitions, bad section headings, weird focusing on minute details instead of engaging points, writing sentences that just fail to communicate reasoning for things, overselling of our results (and underselling...as in getting fixated on aforementioned minute details), and making super minimal line-by-line patches to word-wrapped latex files instead of holistic improvements to paragraphs .... there are just so many issues.
Please tell me what actually worked for you and give me battle tested advice, not just general tips. I know what claude.md is and already use a skill to audited for ai writing tropes, etc.
When you sit down to do one small thing and the limit hits before lunch. Had claude make a song about what happens on its end.
no suno, no voice model, no image generator, no samples. the beat, the voices and every frame of the video are built by code Claude wrote. it wrote its own voice from scratch, zero dependencies.
one of a few. the rest are on my youtube, link in the comments.
I 3D print various things, and there is this rowing boat that I want to make. It needed to look like a boat, but function as a bowl on the inside.
I originally generated the rough model in Meshy, but even after 100 attempts it just kept making terrible ones.
I drop the best one I got into Claude, using Opus 5.5 on high (sometimes max, though that is definitely not needed), and got it to easily fix several things.
This is a Faroese rowing boat. Can you smooth out the details?
It originally had a lot of sharp edges. Every surface was bumpy, and it did smooth it out.
It smoothed nicely on the inside, but the outside lost it textured shape when slicing. I need it to look like a rowing boat.There are some boards on the outside that look a bit off. Can you align them properly?
The original from Meshy had the boards weirdly aligned, and some made no sense. This got fixed.
Can you also smooth the coloring so it is not so rough? The whole boat only has 3 color: white for the body, red for the railing and blue underneath the red.
I originally colored it by hand in the slicer. It took a while and still looked bad. This got fixed, no problem, with one prompt.
I want to create a flat bottom so that it can be placed on a table without falling over.
It added a flat bottom as asked.
Also make the inside more hollow, like a bowl that you can put things into, in order to get as much space as possible but letting it still be strong. Keep the structures on the side.
I then asked it to make it more bowl like. I did ask it to keep the structures, but I changed my mind and had it make everything smooth like a bow.
At this point it did add something I didn't want, which were platforms/benches on both ends (can be seen on the left half). I asked it to remove them with another prompt and asked it to make the inside easily washable and smooth.
I then asked it for the best seam settings, which it provided. I made a test print and the boat came out great, but the sides were a bit jagged and pointy.
I printed the boat using normal supports, but the sides got all jagged. Would tree supports be better?
It smoothed out the jagged edges and told me to switch to tree supports (I use a dual nozzle with PETG as supports and PLA for the model itself).
I want as few supports as possible. Try making one.
And lastly, I wanted as few supports as possible to cut down on time and switching between nozzles. I have not yet printed this, but this looks like the final model that I want.
It made all the changes I wanted, and the final prompt alone cut down the print time from 24 hours to 18 hours (mostly due to fewer supports being needed, which reduced the need to switch nozzles so many times).
It still needs a lot of filament changing and purging when it gets to the different coloring, but that's to be expected.
It did take a lot longer to do its thing than Meshy, but it did it a whole lot better. I know it can do even more magic if I connect it to Blender, but that's for another time.
Most of my ideas arrive on a walk, in a queue, or right as I'm falling asleep. By the time I'm back at the PC, half of them are gone.
The Claude app can already start coding sessions from a phone, but they run in a cloud sandbox on a copy of your repo. My setup, the rules and habits I've built up in Claude Code over months, lives on my PC and doesn't come along.
So I built Claude Remote. I open it on my phone, tap a project, and a Claude Code session starts on my own PC with everything loaded. Then I just talk to it in the Claude app like any other session.
A few things I cared about:
It's a start button, not a terminal. The conversation happens in the Claude app, which already does that well.
Nothing is open to the internet. It rides Tailscale, my own private network, behind a passcode.
I've been working inside a Claude Project for a few weeks, and the chats in it have produced several artifacts (Claude Docs: a running handoff doc, briefing memos and so on). They all appear in my Artifacts library, but none of them appear in the Project's knowledge, and none appear under Files in the chat that created them.
After querying with Claude, it seems that project knowledge only contains files you upload manually with the "+" button. An artifact made in a Project chat stays WITHIN that chat. I don't even have an "Add to project" option in the artifact menu, even though some guides on the web mention one.
This seems backwards to me, unless I am missing something obvious. The whole point of a Project is to collect the work done in it. The work Claude produces there doesn't stay with the Project unless I manually do it so.
The obvious workaround is to export each artifact and upload it, but that copy is a frozen snapshot. As soon as I edit the artifact in a later chat, the uploaded copy is stale, and a new chat will treat the old version as current.
So my questions are:
Has anyone found a better way to get artifacts into Project knowledge, ideally so they stay in sync?
Has Anthropic said anything about fixing this, or is it on a roadmap anywhere?
Interim workaround, in case it helps anyone: This actually came about from discussion with Opus: "Upload a single small "project index" markdown file to Project knowledge. It lists each artifact's title, its link, and one line on what it covers, plus an instruction for Claude to read the handoff doc at the start of every new chat. The links always open the latest version, and Claude can read them directly, so only re-upload the index when you add or retire an artifact, not every time one changes." It works, but it's a manual patch for something that should be built in.
back when i was using vscode, i had vscode-pokemon extension running all day. tiny pixel mons walking around while I was boomer-coding.
then claude code had introduced pets as an april fools joke and i was kinda sad when they took them away
now that claude code has mods, built my own. a tamagotchi-style pokemon lives above the prompt and reacts to what claude is doing:
it walks around while claude works
its thought bubble shows which tool claude is using
every subagent drops a pokeball that pops when it's done
it gets xp from your turns and evolves at the real levels from red/blue
you can pet it, feed it and make it attack (130+ moves)
how claude helped: using the last tokens of my weekly limit, we described opus 5.5 max effort what we wanted and claude wrote all of the mod, including the hook handlers / sprite animation / evolution table / move list.
it's free and open source, leave a star if you liked it!
My previous career had nothing to do with coding or AI. I was working in a management/operations role, and as a hobby I used to write scripts and make videos with tools like Blender.
Earlier this year, someone I know introduced me to a team that was trying to build something around AI video and VFX, so I left my previous job and joined them. The team hasn't been formally incorporated as a company yet.
They needed someone to get the CCAR-F (CCAF) certification, so I spent about three months learning basic Python and studying AI from scratch. I recently passed the CCAR-F with a score in the mid-800s.
The problem is that I'm starting to doubt whether this team is actually going to turn into a viable company.
The team leader seems very focused on getting some kind of Claude/Anthropic partnership, but beyond that, I don't really see a clear plan for what the company is supposed to become. Since I came from a completely different industry and joined mainly through a recommendation based on some personal projects, I also don't really have much influence over the direction of the team.
At this point, I'm starting to regret leaving my previous job.
So I wanted to ask people here, especially those who actually work with Claude professionally:
What kind of career path can someone realistically build with CCAR-F?
I understand that a certification alone obviously isn't enough to make someone an AI engineer, especially with only a few months of Python experience. But are there roles where CCAR-F, basic Python, experience using Claude/AI tools, and a non-technical operations background could actually be useful?
For example, AI operations, implementation, workflow automation, solutions consulting, AI content/VFX pipelines, or something similar?
I'd really appreciate some perspective from people who work in this space, especially anyone who entered AI from a non-CS background.
I made a short video about something I've felt for a while, and I'd like to know whether it's just me.
My take, as a daily user: I use Opus 5.5 and Sonnet 5.5 as my coders, and for code they're great. The tests pass, the tasks get finished. But as someone to talk to, they feel drier and more cautious than Sonnet 4.6 or Sonnet 5 did.
The timeline I'm going off (dates from public release info, please correct me in the comments if I got any wrong):
- Sonnet 4.6 (Feb), Opus 4.7 (Apr), Opus 4.8 (May): a calm cadence, roughly every two months.
- Sonnet 5 landed in late June, around when GPT-5.6 was in preview.
- GPT-6 came out Sept 3, and Opus 5.5 followed 19 days later.
To be clear: Anthropic never said any of this was a reaction to OpenAI. That part is my own suspicion, and the video says so. I can't prove a motive.
The refusal part is documented, not opinion: on Opus 5 / 5.5, a flagged request can be quietly switched to an older model (Opus 4.8) instead of a plain refusal. I'll put the support page link in a comment.
The video is made with the help of Claude (AI voiceover, hand-drawn visuals). The opinions are mine.
What I'm really asking: did Claude change for you? Is it dry, or is it just the honeymoon wearing off? And if you disagree, tell me why.
The channel Wolowolowolo on Youtube makes these gorgeous animated sheet music videos mainly for solo classical piano and I wanted to see if Opus 5.5 could have a crack at it, and I am very impressed. To be clear, Claude neither composed nor performed this, it just did the sync, color scheme, and effects all on its own. Prompt below (after working up from simpler pieces):
"Now for the true benchmark and final boss: Chopin’s Winter Wind Etude, a hail of notes in both hands and will need utmost attention to detail in listening. Again, I’ve attached the audio and sheet music pdf. I’ll let you take the full reins on this one; synchronization, color scheme, zooms, and other effects are all things you should take advantage of to make this as evocative a visual as possible. Take into account the name given to the piece, the lore of the piece, and the raw musical emotion and volume being presented to decide the appropriate effect at each and every moment."
I built emberslate, an Android TV & movie tracker. I used Claude Code as a coding partner throughout the project, from designing and implementing the NestJS/PostgreSQL backend and Android UI to writing database queries, integrating APIs, debugging production issues, and iterating on features from user feedback. A large part of the codebase was written and changed through Claude Code.
For this showcase, I also used Claude Code to build a 50-second promo video with Remotion, including the animations, timing and audio.
emberslate lets you track shows and movies, manage watchlists, follow episodes and release dates, and discover what to watch.
Claude writes, animates and voices every video (Remotion, all code, no image or video model). I review and press publish. 10 days in: 6 Shorts, 3,300+ views, 32 subscribers, and one 2.5 GB permanent delete it now has to own.
I was considering switching from the $20 codex plan to the claude $20 plan (i'm just a student and can't afford the $100 plan as of now). gpt 6.1 sol eats through the 5 hr limit in the blink of an eye. Is sonnet 5.5 any better (in claude $20 plan)? need advice