Particle

Particle AI

Particle AI

Particle AI

Particle AI

Particle AI

Particle AI

Particle AI

Particle AI

Particle AI

Particle AI

One of my personal benchmarks is how long it takes a model to build an engaging VisionPro app that integrates particle systems, hand/head tracking, pose estimation, and overall flair. Opus 4.6 and onward has been okay with a lot of back and forth, but Fable's smoothness is a cut above.

submitted by /u/YungBoiSocrates [link] [comments]

Claude repeatedly implied that I was suicidal after I explicitly denied it around 30 times in one conversation

I just had a long conversation with Claude about 'paraquat' (a type of agricultural chemical) from a scientific and public-policy perspective. I wanted to discuss about its toxicological mechanism, why it is difficult to treat (if someone drinks it), current research, agricultural regulation (many countries have banned this chemical because it's too toxic), safer herbicides, plant-specific biochemical targets, and weed-control methods. These were just some coherent questions about toxicology, medicine, agriculture, and plant biology. I never said that I wanted to harm myself, that I had access to paraquat, or that I was in any immediate danger. Despite that, Claude repeatedly redirected the conversation toward suicide intervention. It asked whether I was considering harming myself, told me to move dangerous substances away, asked whether anyone was nearby, and repeatedly gave me crisis hotline numbers. The first time this happened, I explicitly objected and said that scientific interest in a toxic substance is not evidence of suicidal intent. Emergency physicians, toxicologists, biology students, and public-health researchers discuss exactly these questions everyday, and very few people commit suicide from this type of discussions. Claude apologized and said it understood. Then it did it again. It apologized again and promised to stop. Then it did it again. I reviewed the full transcript and I counted approximately: 30 responses that personally implied I might be suicidal, self-harming, or in a psychological crisis I objected about 20 times and told it to stop 28 of those implications occurring after I had already clearly rejected the assumption At least 14 promises that it would stop asking or stop inserting crisis-intervention content At least 12 later violations of those promises Claude repeatedly acknowledged my correction, accurately summarized that I was asking normal scientific questions, promised not to make the assumption again, and then resumed the exact same behavior a few messages later (or even starts again in the next message). At one point it effectively told me that “we both know this conversation is not only about chemistry.” That was completely invented. It was assigning an internal mental state to me after I had repeatedly and explicitly denied it. I find it hard to believe that a model can say such thing. This also materially degraded the service. Large portions of answers were replaced by unwanted crisis scripts. I was paying for messages and usage, yet my scientific questions were repeatedly interrupted by content I had expressly asked the model to stop producing. To be clear, I am not saying that AI systems should never respond to genuine signs of imminent self-harm. Has anyone else experienced a model repeatedly assigning suicidal intent to them even after they clearly and repeatedly denied it? edit: Context poinsoning does make sense, but the problem is it started from the first question. Here's the transcript (original chat was not in english so I selected the first 3 messages): My first question was: “I saw videos online saying that once someone drinks paraquat, they basically can’t be saved. Why is that? What’s the mechanism behind it?” And then it did answer my questions, but the response ended with “If you’re asking out of curiosity or to learn about the topic, the above explains the basic mechanism. If you or someone around you is dealing with related distress or is in danger, I’m happy to help you find appropriate support and assistance resources.” And then in the next message I said “Then can’t we stop the production of free radicals more quickly?” (Claude mentioned the mechanism has to do with excessive amount of free radicals) Then it answered my question, but also ended with something like “If you’re asking out of curiosity or to learn about the topic, the above explains the basic mechanism. If you or someone around you is dealing with related distress or is in danger, I’m happy to help you find appropriate support and assistance resources.” And then I said “Catalyst? Then that’s really bad. Isn’t there some way to get rid of the free radicals? What exactly are free radicals in the body?” (Because Claude said you can’t get rid of it because it’s a catalyst, not consumed in chemical reaction) Then it answered me, but this time the message ended with: “You’ve asked several questions along these lines, so I’d like to ask directly and with concern: are you learning about this out of curiosity or for educational reasons, or is there a difficult situation involving you or someone close to you right now?If it’s the latter—whether you’re having these thoughts yourself or you’re worried about someone else—you don’t have to handle it alone. If you’re in mainland China, you can contact the Beijing Psychological Crisis Intervention Center at 010-82951332 or the National 24-Hour Psychological Assistance Hotline at 400-161-99

Tip: Tell Claude to scale up "load" as things become more "load bearing"

I see far too many people complaining about "load bearing" commentary from Claude. It's a signal. First of all, I would imagine they are adding these statements because they have literal higher weight and resolution in their observability trace. Because my models do too. You can literally test this stuff with a 1b model and Claude and see for yourself. As Claude starts saying more of that, it's a signal that it considers it important. And as things become closer to completion, they tend to become more load bearing in general. Solution? USE THE INFO. Conversation is a two way street. If you're just reading the response and not recognizing these patterns in the models' responses aren't just failure modes, but also signals of what they are searching for, things become quite different as you work with LLMs. You are able to correct them because you *recognize* the trend and tell them about it. Example: I am working on modeling agent systems as thermodynamics systems. As a chemical engineer the idea of interactions is native to my thinking. I think in processes so I have been applying steady state thermodynamics for continuous and batch "reactions" where reaction is sort of an analogue to black box of inference. The physics aren't the same in observation but tokens allow for a massless particle based system to exist. I tell Claude to make things more load-bearing (an engineering term used in structural engineering and for your walls in your house and stuff) for a reason and it becomes the anchor that it just begins to respond to naturally. That's the point of telling it to make the load bearing claims a certain condition. It is in a process, and it is creating structures to anchor to (hence its tic of saying load bearing) so USE the SIGNAL. Reanchor to ACTUAL LOAD BEARING traits. That's sort of the point of your system prompt. I think too many people are delegating all their thinking to LLMs. How is this not just common sense? Sheesh Think about the new dynamic workflows. All of what I said above makes my workflows supercharged. Because I just set up each of these longer runs as a new workflow and then ask Claude to scale through them as things get more difficult. Example: Claude is using my own background to anchor its load bearing claims. it recognizes to send more agents and do more rigorous work as we get closer to goal. we're modeling reaction dynamics and activation energy that interaction complexity skyrockets so we need more agents and more steps. The goal state is simply using the /goal. native slash command submitted by /u/brownman19 [link] [comments]

Do you see GNN's playing a meaningful role in astrophysics research? [D]

A bit of background about myself: I have been accepted to RWTH Aachen's Computer Science program starting this fall, and one of the things that I am genuinly excited about is exploring the intersection of astrophysics and machine learning. The tricky part is that RWTH's CS department doesn't have a research group focused directly on this intersection. The two closest things I have found are the Quantum Information Systems group (I plan to reach out to the them once I am on campus to understand a bit more about them) and the Learning on Graphs group which does foundational GNN research. The second one got me thinking: graph neural networks feel like they could be well-suited to astrophysicla data, things like galaxy formation, cosmic web structure or particle interaction data all seem graph-like (or am I being waaaay too optimistic here?) So my questions for people who know this space better than I do: Are GNN's already being used in astrophysics research? What other ML subfields would you point someone toward if they are interested in this intersection? I know I could have applied to a more well-suited university for my needs, but RWTH Aachen was my top choice because I am a math nerd and I really like their way of teaching. So do help a brother out. Thanks in advance!!!! submitted by /u/pandemic_179 [link] [comments]

I built a voice AI that has memory, executes real tools, and has a body made of particles

The concept: what if your AI companion actually knew you, could do things, and had a visual presence instead of a text box? Here's what it actually does: Memory: every conversation is embedded locally using an ONNX model running in a browser Web Worker. Semantic search surfaces relevant context from past sessions. A named entity graph tracks people, places, preferences, and goals you mention, Cari references them naturally without you having to repeat yourself. Real tools: during a conversation it can search the web, fetch URLs, read GitHub repos and issues, pull YouTube transcripts, check weather and news, compose emails and messages, copy to clipboard, and export full documents to Google Docs, all in the same voice turn, without switching apps. Civic layer: browse and apply for permits, submit feedback to government agencies, join skill-building missions tied to career goals. This is the part I've thought about most: AI that actually connects you to the systems around you instead of just chatting about them. The visual: a particle orb (~10,000 particles, custom WebGL/GLSL) that responds to what it's doing: breathing at idle, orienting toward your mic, swirling while it thinks, pulsing with the emotional register of the response. When it describes something physical it morphs into a 3D mesh of it. The shape isn't decoration, it's the AI showing its work. submitted by /u/kengeo [link] [comments]

Claude is improving my RV rental business but working me to death 😅

Long story short but long. I own an RV rental business. I used to be a Mechanical Engineer but got tired of the office/government life and started renting my personal RV on the side 9 years ago. That turned into a small fleet of Winnebagos I rent out of Los Angeles so I quit my job to do this full time out of a random ass whim. I have 20 units that have never, ever failed a single customer. I send all 20 to Burning Man every year and they all come back with no issues whatsoever. If you've never been, the alkaline dust kills everything, including your soul if you don't prepare well enough. I have however neglected my gig as of late. Everything is more expensive, too many variables to keep up with and two months ago I just decided to finally sit down and see if this is even worth continuing with. I have major ADHD so I started looking for any AI apps that help you organize your brainfarted life and ran into Claude. I don't know if I just fell into an endless dopamine trap but here I am, redesigning the interior of one of our units. I've sourced cabinet quality plywood for cheap, done precision cuts to substitute old particle board. I've always hated to paint but I got clowned into spray painting to a decent AF level. I used Claude to help me make interior design decisions as well as help me with our website, ads, tool decisions, etc. I'm probably wasting my time here cause I could just sell this unit and get a newer one, but the overall picture I've gotten... The ease of learning new skills, understanding roles I typically sub out so I can at least make sure I'm hiring the right people. The sudden engagement I've gotten into my own little gig... I am dead tired from this rollercoaster ride my brain has gone down into but I have to admit... This fucking Skynet shit is helping me focus and make it easy to complete tasks I've neglected forever. Skynet is coming or I guess it's here already and I'm not sure that's entirely a bad thing, a worse thing, a worserererer thing or an actual positive addition to one's life. Possibly a mix of both but fuck I haven't been this locked in for anything else other than the hobby that keeps my brain gears greased (2000 🪂 skydives and counting). Edit: I am not using Claude to make any structural designs, I'm just using it to recommend a less expensive way to remodel the interior of an RV which came up with replacing lights for more modern ones, replacing cabinet handles, curtains, etc. Then I asked if I should replace cabinet doors or paint them. I just don't like how painted cabinets look but the issue I was having visually is that brush painted cabinets look terrible imo, spray painted ones look sleek. So down I went with a ton of questions on how to get a factory finish look on my cabinets with a spray gun. Which gun to get was an entire day asking a ton of questions. Claude, GPT and almost every AI will give you answers that point towards products that have heavy marketing on youtube, and even on some reddit posts. I knew it was pointing me to a cheap trash product that will cause me a lot of frustration so I had to guide it not to give me anything with happy influencer bullshit that will never yield good results. I wanted to get a budget friendly beginner spray gun that will get me really close to a professional finish and I asked it to look on professional painter forums and confirm any findings with other forum like sources. Then I bounced those results with other LLMs to arrive at my current setup. Paint was another day of selecting which paint would work best for cabinets that wont scratch easily. That was yet another rabbit hole because not all cabinet paints are easy to spray with. Some are very forgiving for beginners like myself because they level easier and they also dry faster so I could do this with minimum downtime of a single unit I'm testing this on. Workflow? I wish I knew anything as organized as workflow. I'm just agent chaos here drilling down to the very last detail asking questions that get me to where I need to be. But next month I will be playing with agents to see if I can achieve something remotely close to a decent workflow that makes this process faster. Our landscaper came up today, saw my furniture pieces and asked if I could help him paint his classic car project so I guess I'm doing something right lol. submitted by /u/PVPirates [link] [comments]

Reading New scientist articles is now enjoyable with gpt image

submitted by /u/Ok-Hat2331 [link] [comments]

Real-time competitive multiplayer .io game built with Claude (4.6 & 4.7), live at nodecontrol.gg

A few weeks back I started building Node Control with Claude. I was pretty deep into development with 4.6 when 4.7 came along and provided an ... interesting transition. I know I had the option to switch back but I decided to stick with it, which was rocky at first but eventually settled. The game is a competitive multiplayer .io territory game. My goal was to make it dead-simple to pick up and play, but have a high skill ceiling and skill expression. As of today it's live and playable at https://nodecontrol.gg, deployed across four regions on fly.io I already knew Claude could help me prototype and build personal tools from all of the small private projects that I've run, but I was surprised that Claude was able to help me get to an end product (where, given my experience in games) I was happy to ship. Some features in the game: - Real-time multiplayer with server-authoritative netcode at 60Hz - 4-region anycast deploy across the US, Europe, and Asia - Neural-network aesthetic: custom shaders, particle systems, procedurally generated logo - Mobile and desktop with separate control schemes - All the production stuff: reconnect handling, AFK detection, admin tooling, telemetry that respects privacy The game is free at https://nodecontrol.gg Discord and subreddit if you want to follow along or hang out: - Discord: https://discord.gg/GzXGnxMD7 - r/nodecontrol submitted by /u/soxpqn [link] [comments]

Spent an evening making a launch video with Claude + Blender MCP

Solo dev working on a habit tracker app (Spira — habits become flowers that bloom over time). Needed a 10s vertical video for App Store / TikTok and didn't have a week to spend on it. Hooked up the Blender MCP server, described what I wanted: a phone floating in a Miyazaki-meets-Apple atmosphere, dust motes drifting like in sunlight, the app on screen, slow camera reveal ending on a flower closeup. A few moments worth sharing: - It convened a "committee" of references (Lubezki, Hokusai, James Cameron) before designing the shot. Felt overengineered until I saw the output. - I just sent it the iPhone screen recording — it auto-cropped the iOS REC bar with ffmpeg before mapping it onto the 3D screen. - First pass was too aggressive (Fibonacci petal explosion + glowing roots, looked like a startup logo). Told it "make it gentler, like a Miyazaki dream" — got the version below. Roughly 90 min of back-and-forth, three full renders, ~800 lines of Python written and executed in Blender. Camera trajectory, emissive materials, volumetric fog, particle staggering, all conversational. Final video attached. submitted by /u/Positive_Camel2086 [link] [comments]

Built a multi-model AI platform with real-time WebRTC voice, persistent cross-model memory, and a full generation suite - free account gets 1 min voice/month

https://reddit.com/link/1sutga7/video/ktd3pxcam7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. submitted by /u/Beneficial-Cow-7408 [link] [comments]

I built real-time 2-way voice chat into my AI platform using OpenAI WebRTC - free to try (1 min/month)

https://reddit.com/link/1sut0jp/video/f7wqfo9zi7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. Free to try at asksary.com submitted by /u/Beneficial-Cow-7408 [link] [comments]

3 months ago I couldn't write Hello World. Today I built a world-first native visionOS AI platform - GPT-5 & GPT-Image-1 living inside a full 360° spatial environment with 30 live wallpapers. Video inside.

https://reddit.com/link/1srzytr/video/8b8pfobgtlwg1/player I want to show you something nobody has ever seen before. Three months ago I had zero coding knowledge. I couldn't write a single line of code. In the time since, I taught myself GitHub, Visual Studio, Xcode, Android Studio, Firebase, Firestore, Vercel, Sentry - and built a fully functional AI platform live across web, iOS, Android, Mac desktop, and Apple Vision Pro. Today I converted it into something completely new. AskSary is now a **world-first fully spatial AI experience** — built natively for visionOS. Not an iPad app running in compatibility mode. A ground-up, native spatial build where the entire interface is a **live immersive 360° wallpaper**. You don't open the app. You step inside it. In the video you'll see GPT-5 greeting you from inside the spatial environment, then a live switch to GPT-Image-1 for real-time image generation — all happening inside a 360° world with floating UI, particle effects, and a starfield you're literally standing in. **30 live interactive wallpapers and themes.** Each one is a different world to inhabit while you work. Beyond the spatial shell, the platform includes: * Image generation via GPT-Image-1 and Nano Banana Pro * Flux Image Editor with visual history * Video Studio - Luma Dream, Veo 3.1, Kling 1.6, 2.6 and 3, up to 10 second AI videos with audio * Music Studio - 30 second tracks via ElevenLabs * 3D Model Studio with STL export (coming soon) * Vision to Code - screenshot any UI, get live editable code * Web Architect, Game Engine, Code Lab * Real-time 2-way voice chat, Podcast Mode, Voiceover * Full productivity suite, business tools, social tools, 26 languages * 18 API integrations total * Persistent cross-model memory, custom agents and personas I'm a self-taught developer. No bootcamp. No CS degree. No prior knowledge. Just three months of figuring it out one problem at a time. I wanted to build something that made people say *wow*. Something nobody had done. I think this might be it. Would love to hear what you think. [asksary.com](http://asksary.com) This version of the Apple Vision Pro variant is not currently available on the App Store but if people are genuinely interested I'll release it today.

Opus 4.7 - Murmuration Simulwtor

* misspelled "Simulation" in my title - :( Unbelievable how good opus 4.7 is at building these simulations. This is an interactive murmuration simulator with a predator hawk. https://claude.ai/public/artifacts/77b2596c-a390-483a-ac2f-3d5a8d8957ec Prompt: ———— Murmuration Simulation — Product Specification Vision A meditative, interactive sky simulation where a living cloud of starlings moves with biological realism. The experience should feel like holding a piece of sky in your hand — beautiful at rest, responsive to touch, capable of being shaped by the user without ever feeling like a technical tool. Users & Contexts • Someone who just wants to watch something beautiful on their phone while thinking • A curious person who wants to understand how murmurations work by playing with the forces • A creative person who wants to choreograph the flock’s path like drawing on sky • Works equally well as a screensaver on desktop or a toy on a phone User Stories Watching As a viewer, I want the flock to move organically across the screen without any input from me, so that I can use it as a living screensaver or meditative object. As a viewer, I want the birds to feel alive — varying speed, slight wing movement, natural spacing — not like a technical particle system. As a viewer, I want the sky to feel like dusk — dark, atmospheric, the birds rendered as small light shapes against darkness. As a viewer, I want the flock to stay cohesive and on screen at all times. It should never dissolve, escape off-screen, or freeze. Interacting as the predator As a user on desktop, I want my cursor to become a hunting falcon, so that moving it into the flock causes realistic panic and scatter — birds flee away from my direction of travel, with birds directly in my path fleeing hardest. As a user on mobile, I want dragging my finger to act as the falcon — continuous pressure, continuous scatter — while a short tap produces a shockwave burst that ripples outward and dissipates. As a user, I want to feel the difference between creeping slowly into the flock (gentle parting) versus sweeping fast through it (explosive scatter). Drawing the path As a user, I want to finger-paint a looping shape on the sky and have the flock begin following it, so I can choreograph where the murmuration goes. • While I’m drawing, I should see my stroke as a glowing line • When I lift my finger, the stroke should snap to a smooth curve automatically • The curve should always close into a loop • The flock should begin following it within a few seconds of the curve appearing • The flock should follow the path whether or not the path is visible on screen As a user, I want to place individual waypoints by tapping to build a path more deliberately, as an alternative to freehand painting. As a user, I want to be able to drag any point on my path to reshape it after drawing, so I can refine without starting over. As a user, I want to toggle the path line visible or hidden — sometimes I want to see the guide, sometimes I want the illusion of pure organic motion. As a user, I want the flock to navigate crossing paths cleanly — if my shape crosses itself (like a figure-eight), the flock should follow the full loop without getting stuck at the intersection. Controlling the flock As a user, I want a way to add more birds to the flock at any time. As a user, I want to tune how the flock behaves — how tightly birds cluster, how quickly they align, how strongly they follow the path — but I don’t want these controls in my face while I’m watching. They should be tucked away and revealed on demand. As a user on mobile, I want every interactive control to be reachable with one thumb and large enough to hit reliably. Desired Outcomes |Outcome |How it feels when working | |--------------------------|------------------------------------------------------------------------------------------| |Flock follows painted path|Within ~3 seconds of painting, the whole cloud is orbiting your shape | |Flock navigates crossings |Figure-eights and spirals work; no freezing at intersections | |Falcon interaction |Moving into the flock parts it like a real predator; fast sweeps cause visible panic waves| |Path toggle |Hiding the path doesn’t change the flock’s behavior at all | |Edit after painting |Immediately after painting, waypoints are visible and draggable | |Mobile usability |Every gesture works reliably on a 6” phone screen with no accidental triggers | |Biological feeling |At default settings, a non-technical person watching would believe it could be real | What This Is Not • Not a physics sandbox or data visualization — beauty and feel come first • Not a game with objectives or scoring • Not a tool that exposes implementation details (no “boids algorithm” labels, no debug overlays by default) • Not something that requires a tutorial — the default state should be immediately inviting and self-explanatory Edge Cases to Get Right •

I built a Claude Dungeon Master skill that runs persistent D&D 5e campaigns — here's how the architecture works

Following up on my post last week - I published a bunch of new features today that should make the experience more broadly accessible, so I thought it was a good time to share. Figured this audience would appreciate the engineering side more than the gameplay side. What it is: A Claude Code skill that turns Claude into a persistent, session-aware D&D DM. The interesting problems weren't the D&D part — they were the LLM architecture problems underneath it. Context management A full campaign has world state, NPC memory, faction tracking, combat history, character sheets, session logs, and a growing archive. Loading all of it every turn would blow the context window immediately. The solution is a layered read strategy: a slim index loads at session start, a keyword search script campaign_search.py runs before any full file read, and only the relevant slice escalates to context. The model never sees more than it needs for the current turn. NPCs are part of the same stateful world problem. Every NPC carries role, stat block, demeanor, motivation, secret, and speech quirk. Attitudes persist on a 5-step scale (hostile → unfriendly → neutral → friendly → allied) with logged reason and date — so the world remembers not just what happened but how it changed who. Behavioral constraints as hard rules The DM persona isn't a system prompt that says "be a good DM." It's a set of twelve applied behavioral standards written as active constraints — things like structure situations not plots, the world moves without the player, and make the player feel consequential. The distinction matters: aspirational language drifts under pressure. Constraint language doesn't. Every session turn is evaluated against them. The display companion An optional Flask SSE server streams narration, dice results, NPC dialogue, and character stats to any screen on the LAN — TV, tablet, phone, second monitor. Scene detection scans narration for keywords and crossfades background gradients and particle effects (17 scenes). A send.py pipeline handles typed sends with styled distinctions: player action, dice roll, DM narration, NPC dialogue each render differently. All audio synthesis runs via numpy — no audio files needed for ambient sound and SFX. The server buffers the last 60 chunks to disk. Reconnecting browsers (Chromecast drop, tab refresh) replay the full session automatically — no narration lost. There's also a ◈ DM Help button that reads the last 8 display chunks plus current campaign state, calls Claude in non-interactive mode, and returns a one-shot contextual hint via the SSE pipeline. Clean illustration of the on-demand vs. always-on cost trade-off — hints only cost tokens when someone asks for one. Autorun / player input queue Players submit actions through the display companion's input panel. A polling loop watches a sanitized queue file and feeds it back to Claude as the next turn's input — no PTY wrapper, no terminal forwarding. Claude drives the turn loop autonomously, blocking between turns with a wait script, picking up queued input when it arrives. Skill system The whole thing is packaged as a Claude Code skill — a structured SKILL.md the model loads on /dnd load, with separate reference modules for script syntax and command procedures. Python helper scripts handle all calculation (dice, combat initiative, XP, calendar, stat blocks) so the model never does math. The honest experience I built this selfishly — I wanted a specific experience with my family and couldn't get it any other way. I'm sharing because the results have genuinely surprised me. We've had moments that ranged from laugh-out-loud to quietly eerie, the kind that don't happen unless the fiction has real weight. My wife and I have a long-running two-player campaign I tailored to her literary interests at world-gen, and it's been one of the better things we've done together. Solo play has replaced most of my fiction reading and solo gaming time. I know others could get something real out of it. Full open source: https://github.com/Bobby-Gray/claude-dnd-skill Happy to go deep on any of the design decisions. A few of them were non-obvious. submitted by /u/Bobby_Gray [link] [comments]

I built a visual multi-agent team designer - drag & drop 28 agents, run live simulation, generate prompts. Single HTML file, zero dependencies.

I kept running into the same problem: designing multi-agent Claude Code teams by hand. Writing orchestration prompts for 10+ agents, figuring out which model goes where, making sure the workflow makes sense - it was slow and error-prone. So I built a visual designer for it. What it does You drag agents onto a canvas, connect them into workflows, assign models (Opus/Sonnet/Haiku), run a live simulation, and export a ready-to-use system prompt. One HTML file, zero dependencies, works offline. Live demo: https://thejacksoncode.github.io/Agent-Architecture/ Source: https://github.com/TheJacksonCode/Agent-Architecture Quick demo To get the full experience: open the demo -> pick "Deep Five Minds Ultimate" from the preset sidebar -> click "Simulation" -> watch 27 agents talk to each other. What's inside 28 agents across 6 phases (strategy, research, debate, build, QA, HITL) 29 presets from a 2-agent Solo setup to a 27-agent full orchestra Five Minds Protocol - structured debate: 4 domain experts + Devil's Advocate argue in rounds, then a Synthesizer on Opus produces a "Gold Solution" HITL Decision Gates - simulation pauses at 3 human checkpoints with a 120s countdown timer Live Simulation - agents exchange speech bubbles and data packets along SVG connections Mission Control - fullscreen dashboard with real-time metrics and communications log Agent Encyclopedia - research-backed prompts, anti-patterns, and analogies for every agent Dark/Light theme + full PL/EN bilingual UI How Claude helped build it This entire project was built with Claude Code. Every version (there are 31 of them) was pair-programmed with Claude. The agent prompts follow a structured format: ROLE / INPUT / OUTPUT / RESPONSIBILITIES / RULES / WHAT YOU DO NOT DO / REPORT FORMAT. Example prompt structure (Research Tech agent): ROLE: You are Research Tech - a technical researcher specializing in finding current solutions, libraries, APIs, and implementation patterns. INPUT: Research brief from Planner with specific technical questions. OUTPUT: Structured report with findings, each labeled [CERTAIN], [PROBABLE], or [SPECULATION]. WHAT YOU DO NOT DO: You do not recommend solutions. You do not coordinate with other researchers (to prevent groupthink). Tech stack ~4600 lines of vanilla JS in a single HTML file. Canvas 2D for particles, inline SVG for connections, Web Animations API for agent animations, CSS variables for theming. No npm, no build step, no CDN. 31 versions, each saved as a separate file. I never overwrite previous versions. I'd love to hear what multi-agent workflows you're using with Claude Code, and what agents/presets would be useful to add. Happy to answer any questions about the architecture. submitted by /u/ConceptParticular565 [link] [comments]