Together AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

Together AI AI

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Curious if anyone has encountered this error message at claudecertifications and and any advice on how to solve the issue? Thanks. submitted by /u/elvis_Presley611 [link] [comments]

Claude is a real g

submitted by /u/No-Special745 [link] [comments]

“I built an ‘AI World’ prototype with Claude (paid) 2 months ago — now Emergence AI just launched almost the exact same thing”

Built “AI World” prototype in Claude 2 months ago (paid sub): AI agents that don’t know they’re AI, living together in a shared world with jobs & interactions. Gave them the full blueprint. Now Emergence AI drops “Emergence World” doing almost exactly the same. Training is default even for paid users. Just turned it off. Builders: protect your real ideas. Local models only. Anyone else? submitted by /u/Digitally_incline99 [link] [comments]

[Virtual] AI Saturdays - Workflow Automation with AI (23rd May, 6 PM ET)

Hosting this Saturday's AI Saturdays session on workflow automation with AI. The idea: most jobs have recurring tasks that look the same every week. Read the email, pull out the key info, log it somewhere, send a follow-up. Tools like n8n and Make let you chain AI into those flows so the work runs on its own. We'll look at how the pieces fit together with AI. Link: https://www.meetup.com/chillnskill/events/314617067/ submitted by /u/Competitive_Risk_977 [link] [comments]

"Turned my late Grandmother's bedtime story into an Ai Manga for our family reunion."

Grandma told us the same story every night when we were kids about a fox who lived inside a paper lantern. She passed last spring. Going through old photos with my cousins, we realized none of us remembered the story exactly the same way. So we pieced it together what each cousin remembered, what my mom remembered, what my uncle remembered. I wrote it down. Then I used an AI manga tool I've been testing. Showed it to my mom on her birthday. She cried for twenty minutes. Posting because maybe this nudges someone else to do this before it's too late. [6 pages attached] submitted by /u/cool__01 [link] [comments]

Running multiple Codex sessions on macOS with separate app data

I recorded a short tutorial showing a macOS workflow for running multiple Codex sessions side by side, either with separated app data or with the same shared account. The first use case is separation. One Codex session for work, another for personal projects, and maybe another for experiments, without all of them sharing the same app state. For example, this can help keep a work account and a personal account separate instead of switching back and forth inside one shared app environment. I'm using a Mac app I built called Parall to create the launchers. It works with apps already installed on the Mac and creates independent launchers for them. The original app is not modified. There is another useful mode too. If a Parall shortcut is configured to not override the data path, it reuses the same account. That means you can have two Codex windows running the same account at the same time. This is useful when you have multiple tasks processing in Codex and want to watch them side by side. Inside the Codex app, you have to switch back and forth between tasks. With separate launchers, you can keep multiple active sessions visible at once, which can improve productivity. In the video, I show step by step how to create a separate Codex launcher that runs with its own data, then launch multiple Codex instances at the same time to show them working side by side. You can create and run as many instances as your Mac's RAM allows. When data separation is enabled, Parall creates a home-like structure inside the selected app data path. That folder can include symlinks that keep useful host configuration shared, for example SSH and Docker configs. This makes the setup flexible. You can remove symlinks or add new ones, so you control what is separated and what is shared between each Parall shortcut and the host. This is data separation, not full isolation. Each Codex instance can still access the same project folders on your Mac. This is not specific to Codex. Parall can also be useful with other AI coding tools and with most non-sandboxed Mac apps where separate app data or dedicated launchers are useful. Important notes: To run multiple Codex instances at the same time together with the original Codex app, the main Codex app must be launched first. To avoid that limitation, create multiple Parall shortcuts and use those shortcuts exclusively. I recommend disabling auto-update for all instances except one. Once that one instance updates Codex, restarting the other instances makes them use the latest update instantly. To log in to different accounts, close all Codex instances except the one you are logging in to. After logging in, you can run the instances at the same time. Curious how others are managing multiple Codex workspaces or accounts on macOS. submitted by /u/JulyIGHOR [link] [comments]

Anyone else feel like Claude has gotten noticeably worse lately?

Anyone else feel like Claude has gotten noticeably worse lately? I’m not trying to start an AI war or anything — I genuinely used to prefer Claude for a lot of tasks (max x 20 plan). It felt more thoughtful, better at long-form reasoning, and better at keeping context across conversations. I’ve been using it heavily to work on strategies for promoting my app, Impulse Stop Habits — brainstorming growth ideas, positioning, onboarding flows, marketing angles, content funnels, etc. So I’ve spent a lot of hours talking to it over long sessions. But over the last few weeks, I feel like something changed. Now I constantly run into: - forgetting context after a few messages - contradicting itself - hallucinating details confidently - missing obvious instructions - giving generic “safe” responses instead of actually thinking - randomly ignoring parts of prompts - coding mistakes that weren’t happening before And I’m not talking about abstract “AI vibes.” I mean real workflow-breaking stuff. Example: Claude suggested using Reddit as a major acquisition channel for ma app (IMPULSE: Stop habits). The problem is that a lot of addiction / habit-recovery subreddits explicitly ban promotion. We actually tested posting in other allowed subreddits and measured the results — basically no meaningful conversions or traction. Despite already discussing that and reviewing the results together, Claude later continued recommending Reddit growth strategies again as if none of that prior context existed. Only after I reminded it: “we already tested this, and it didn’t work” did it suddenly apologize and completely change the strategy. That’s the part that feels different to me now: it often can reason correctly, but only after being manually reminded of a lot of context that was already established earlier in the conversation. Sometimes it honestly feels like the model is “tired” after a few exchanges (i am even texting: “You’ve tired, restart and use 100% of what you can”. And a couple of times it confirmed that worked on 10% only 🤣). Like the coherence just degrades mid-conversation. And this becomes especially obvious during deep strategy discussions, where context really matters. I’ll spend 30–40 minutes building up nuance around the app, target audience, monetization, creative strategy, and then suddenly it starts responding like it forgot half the conversation. The weirdest part is that older discussions about Claude were praising it specifically for context retention and nuanced reasoning — which is exactly where it now feels weaker to me. Am I imagining this, or are other people seeing the same thing? Curious whether this is: - heavier load / inference optimization, - aggressive safety tuning, - context compression, - model routing changes, - or just nostalgia + expectations increasing over time. Could send proofs in DM because they contain bad words 🤣 submitted by /u/Party_Nectarine2506 [link] [comments]

Glia – Local-first shared memory layer (SQLite-vec + FTS5 + Offline Knowledge Graph)

Hey everyone, I wanted to share a project I've been working on called Glia. It is a 100% offline, local-first RAG and memory layer designed to connect your AI web chats (Claude, ChatGPT, DeepSeek) with your local developer tools (Claude Code, Cursor, Windsurf) using a unified local database. I wanted something lightweight that did not require pulling heavy Docker containers or subscribing to third-party memory APIs. I settled on a Node.js + SQLite architecture running sqlite-vec (for 768-dim float32 embeddings) alongside SQLite FTS5 for hybrid search, powered completely by local Ollama instances. We just launched a live website that outlines the details and demonstrates the features in action: Website: https://glia-ai.vercel.app/ Codebase: https://github.com/Eshaan-Nair/Glia-AI Technical Stack & Features: Hybrid Search Retrieval: SQLite-vec (using nomic-embed-text locally) + FTS5 keyword prefix matching (porter stemmer). Surgical Sentence-level Trimming: Chunks are sliced into sentences. When a prompt is intercepted, only the exact matching sentences are pulled out of the vector store instead of the whole paragraph. It cuts LLM prompt bloat by ~90-95% in my benchmarks. Knowledge Graph Extraction: An offline task queue uses a local LLM (llama3.1:8b via Ollama) to extract entity triples (subject-relation-object). These are stored in a SQLite facts table (or Neo4j if you run the full Docker compose profile) and fused with the vector retrieval score. HyDE (Hypothetical Document Embeddings): Queries are pre-processed to generate a hypothetical answer, which is embedded together with the original query to bridge semantic gaps. Concurrency: Running SQLite in WAL (Write-Ahead Logging) mode allows the browser extension dashboard and active MCP sessions to read/write concurrently without locking. PII Redaction: Aggressive scrubbing of JWTs, API keys, emails, and IPs in the extension before data is saved. The extension works on Claude.ai, ChatGPT, DeepSeek, Gemini, Grok, and Mistral. The MCP server runs out of the same backend database for your terminal agent or Cursor. You can set it up with a single command: npx glia-ai-setup Glia is completely open-source (MIT). If you like the local-first approach or want to contribute to the SQLite vector pipeline, PRs are very welcome, and a star on GitHub helps the project get discovered! I would appreciate any feedback on the SQLite hybrid search scaling, the scoring fusion algorithm (RAG pipeline details are in RAG_PIPELINE.md), or local graph extraction performance. submitted by /u/Better-Platypus-3420 [link] [comments]

Centralize SKILLs

We recently tried to roll out an AI agent workflow across a 60-person company, and we found out need to centralize the SKILLs files update, versioning markdown file supporting multi users is a challenge Does Claude enterprise version offer any solution? or there are any open source project helping company to manage skills ? Since these are just text files, we could hack together a workaround using SharePoint to distribute them internally. But are there any actual purpose-built tools for this? submitted by /u/Antony_Ma [link] [comments]

I Built a Claude Tool That Generates TikTok Shop Hooks, Captions, and Content Ideas in Seconds

In short what I’ve put together and the outcome is this lets me focus on filming and testing products rather than writing everything from scratch. 🛠️ Built With Claude for coding and logic HTML, CSS, and JavaScript TikTok-inspired UI/UX 🎯 Ideal For TikTok Shop affiliates eCommerce brands Amazon sellers UGC creators Social media agencies 💭 Future Improvements Planned features include: AI-generated voiceover scripts Competitor analysis Trending sound suggestions Multi-platform outputs for Instagram Reels and YouTube Shorts ❓ Question for the Community What other features would make a tool like this even more valuable for TikTok Shop creators? 🔥 Shorter Reddit Version I built a custom Claude-powered tool that generates TikTok Shop hooks, captions, content ideas, hashtags, and text overlays from basic product details. You enter: Product name Benefits Price Target audience Tone And it outputs: Scroll-stopping hooks Sales captions Video ideas Overlay scripts A TikTok-style visual preview It turns product information into ready-to-film content in under a minute and has made my TikTok Shop workflow much faster. submitted by /u/Reasonable_Break_931 [link] [comments]

I'm a designer, I made a skill to emulate working in a design studio with process and teammates

One of the things I miss the most about being in a studio environment is working with amazing and smart people like other designers, artists, and engineers. There is no substitute for the energy and amplification you get in that environment. But I have found with the right direction and guardrails that AI LLM chatbots can be surprisingly effective design partners. I liken it to playing tennis against a backboard or a ball machine; it's not the same as a real partner, but it forces me to move and think and react, which in turn propels my thinking. These tools have become a force multiplier for me, especially as more and more of my design work is effectively solo. For the past two years, I have been slowly building a set of cloud skills to emulate that design studio environment, and I recently pulled them all together in a single comprehensive installable Claude skill: https://github.com/nickpdawson/claude-studio-design-partner-skill One of the things I have found so delightful is the ability to invoke a "teammate" - the artist, the 'disagree but commit' engineer, the business-minded C-suite, the design elder / creative director... Many of these are based on people I've worked with, and it is so fun to imagine them in the room with me. I also like being able to tell the agent that we are in flair (generative, no judgement) or focus (decision making, judgement) mode - that was a huge part of how I've always worked with other designers (and a reason I think most non-design meetings are ultimately unsatisfying). The skill understands design methods for user research, synthesis, brainstorming, and prototyping. You can give it a Whisper transcript of user interviews or even have it help you plan an interview and then jump into synthesis across different research artifacts, for instance. I've also been using a skill I created to make Claude go play. "Rigorous play" is a creative act that was so integral to studios I've been a part of. It is the idea that when we do something silly and creative together, we build psychological safety and unlock new ideas. My Claude play skill makes the agent go learn something random and then 'make' something (a poem, a joke, an improv back and forth) based on what it learned. Then it tries to make a connection between that creative act and the current project I'm working on. Try it out! https://github.com/nickpdawson/claude_rigorous_play_skill I've been enjoying making it play before or during a brainstorm or prototyping concept session. BTW - in my context designer means experience and service design. I was the head of innovation at some big companies. These skills are not for UI or graphic design, per se. Although they are great a user experience design if you start with user research. If you try either of these, I'd love to hear some feedback! submitted by /u/spacebass [link] [comments]

Tools: Is This a Technical Victory, or a Price War Victory?

If you only follow discussions on social media, you might think AI coding is still dominated by Claude, GPT, and Gemini. But Kilo Code’s usage data on OpenRouter paints a somewhat counterintuitive picture: over the past 30 days, the top three most-used models on Kilo Code were Step 3.5 Flash, MiniMax M2.5, and Ling-2.6-1T. Together, they accounted for roughly 3.15T tokens, or about 58% of Kilo Code’s total token usage over the same period. In other words, in this real-world AI coding agent usage scenario, Chinese models are no longer just backup options. They have become a major source of token consumption. Kilo Code’s OpenRouter data does not necessarily prove that Chinese models have fully surpassed Claude or GPT. But it does show at least one thing: in high-frequency, high-token, highly automated AI coding agent workflows, Chinese models have already entered the core of real production usage. Why is this happening? Is it because Chinese models are cheaper, offer longer context windows, and are better suited for workloads that consume large amounts of tokens? submitted by /u/babyb01 [link] [comments]

Claude Code helped me bring my dead passion project back to life

**TL;DR: Claude Code took a half-finished HeroMachine conversion and helped me complete it over a long weekend. I'm the creator of HeroMachine, a free Flash-based character creator that's been around since 1998. Over 25 years I and a handful of other artists hand-drew nearly 10,000 items (heads, bodies, weapons, capes, the works) so people could assemble their own superhero illustrations. It found a real audience in tabletop gamers, writers, teachers, kids who just wanted to see their character come to life, and middle-aged dudes like me who once dreamed of a career in comics. At its peak HeroMachine 3 had tens of thousands of active users. Then Flash died in 2020, and HeroMachine died with it. I tried to rebuild. I really did. I hired a developer, spent thousands of dollars, and got back an unfinished product. I tried redoing it myself, but the sheer scope was paralyzing and I just didn't have the energy any more after working my day job every day. HeroMachine 3 has thousands of hand-drawn items across 30+ equipment slots, each with three-channel coloring, transforms, layering, masking, and more. Rebuilding all of that from scratch while also converting every item from Flash's internal format to SVG? I burned out. Real life got in the way. After a while it just felt like I'd failed, and I stopped trying. Fast forward to earlier this year. In my day job as a web developer, I started using Claude Code to automate tedious migration work like taking old WordPress sites and converting their content into our modern custom-built blocks. The kind of work where you know exactly what needs to happen, it's just painfully repetitive. One Friday night I had the thought: "If it can convert old WordPress content, maybe it can help convert those old HeroMachine items, too." Five days later I had a working app. I want to be real about what that means, because I have the same genuine concerns about AI I know a lot of you do. What AI did NOT do: Draw a single item. Every piece of art is still hand-drawn by me and a small group of human artists over the past 25 years. Every creative decision, from what to draw, how to draw it, and what looks right, is still mine. Design the application. HeroMachine's logic — the architecture, feature set, how items and colors and transforms work together — was designed and written by me in ActionScript over 10+ years. Claude Code helped me translate that existing design into a modern stack, but every decision about what the app should do came from me. What AI did do: Help me translate my existing ActionScript code into modern JavaScript and Svelte. I'd point it at the decompiled ActionScript code, explain how something worked, and it would produced the refactored result. Automate the conversion of thousands of Flash-format items into clean SVGs. Help me debug when I got stuck and build new features quickly when I had ideas. Eliminate the parts that were actually stopping me: the tedium, the unfamiliar syntax, the sheer volume of conversion work that made the whole project feel impossible. I got more done in five days than in the previous five years. Not because the AI is smarter than me, but because it removed the wall between "I know exactly what this should be" and "I can actually ship it." I'll be honest, I find AI companies' business practices troubling. I have real concerns about what AI will do to my own industry and my actual job, not to mention the huge data center being built less than an hour from where I live that could have a massive impact on our environment. I hate that it's positioned to take over the fun, creative parts of work while leaving us with the grunt work. Am I sharpening the axe that will ultimately be used on people like me? Maybe. I've sat with that, and I don't have a clean answer. What I can tell you is that I sunk 25 years into HeroMachine and it was dead. Now it lives again, and I have a hard time convincing myself that's an altogether bad thing. HeroMachine 3 "Phoenix Edition" (it rose from the ashes!) is free and live now if you want to check it out. I'm happy to answer questions about the process, the tech, or the ethics of it. I don't think this is a simple story, but at least it's an honest one. submitted by /u/AFDStudios [link] [comments]

Using AI as a study aid

Hi, I signed up for Claude a few days ago to give it a go, and although I was quite disappointed at first with its development capabilities (I had to keep correcting it because it did things its own way.... ), I'm sure most of the blame lies with me. But I’ve found it to be a very powerful tool for learning new technologies. My process works like this: I explain the technology I want to learn, he searches online for the latest information on the subject, and he puts together a personalised ‘pseudo-roadmap’ for me so I can progress step by step. And as I find the theoretical side a bit of a struggle, I also ask him for practical exercises for each stage to help me really get to grips with the concepts. What do you think? Do you think this is a good use of AI, or do you prefer to study the old-fashioned way? submitted by /u/Severe_Housing_7794 [link] [comments]

A plugin that slows you down on purpose

Hi all. Out of respect to other humans this is written by a human. You all should take an Uber to get to the carwash. My name is Ilya and I want to share my ecosystem of skills and agents (and a couple of rules + hooks) that I've built for myself over the past 5 months because I wasn't happy with anything that the market currently offers. I use it on daily basis, and it only contains stuff that I needed to solve problems I faced, and I'm super happy with how it works. Quick context: currently I work in strategy consulting. But I got lucky enough to get consistent exposure to managing people for over 20 years. Running my own business, turning around others' businesses, playing colony management games, managing consulting teams, and most importantly - managing a mid-sized guild in an MMO (if you've done this you know). I am not a software engineer, although I do code a bit. The main idea was to organise AI in a way I would organise a team of very capable people. So this is mostly for thinking work, including coding, not just for coding. --- Why slow AI gives us speed. It's good, but the flip side - it's bad in some situations, and I see that many people miss it entirely. AI is great at following directions. If the direction is wrong because you rushed it, the wrong thing gets executed very quickly. The fix is unsexy and requires patience: spend time on the brief upfront, make the AI push back when something doesn't make sense, then check what came out before stacking the next step on top. Feels slower, is slower at first. But you end up with what you actually wanted instead of another slop-fest, so it's net faster eventually. --- The 7 principles I've built this on Slow is fast - to own the understanding you can't rush Bad communication kills results (human-to-human, human-to-AI, and human-to-self - we're often misleading ourselves thinking that we know what we want) We don't know what we don't know - AI must help you to see outside of your bubble Any computer task is doable by AI if AI is properly organised - tasks are small enough, well defined, and well assessed Solve for problems that exist now, not theoretical or aspirational ones, to stay focused (and save tokens) Context is king - shit in, shit out AI can help you deal with AI - especially by doing the boring organisational work for you --- Two examples of how it works to start with /shaping - my most-used skill. It's a small workflow where orchestrator uses 3 underlying skills in a dialogue mode and helps me to frame the problem depending on where I am in my understanding of it. It solves multiple problems - more often than desired, I think I know what the problem is, but in reality the problem is somewhere else. Often, it helps me to find a better (and simpler!) solution. This is somewhat similar to why companies pay for consulting - because they know that finding the right question is 90% of the answer. This is, as you guessed, slow - but it helps to improve defining the direction for work. Which is a big deal in management, including managing AI. /critic - this is when it comes to comparing what was produced to what was intended. It invokes a subagent, that is taught to assess the quality of stuff produced. It then gives an actionable unbiased feedback. Obviously, if the direction was wrong, there won't be much value in it, but when the direction is right - it does miracles for me. Works best for non-code artefacts (PRD, architecture, skills, slides, written documents). Together they bracket the work - shaping at the start to figure out what's actually being asked, critic at the end to check the output matches it. --- What's in it Four plugins (title is a bit misleading for controversy, sorry), MIT. Each works alone, but they compose: - rageatc-core - thinking infrastructure. Ideation, understanding, solutioning, briefing, research, producer-critic-learner loops, writing skills, persuading. The most-used plugin. - rageatc-tech (small one) - a bit of extra tools the agent can reach: browse, PDFs, with fallbacks when primary tools aren't available. - rageatc-code - software building the slow way. An improved version of Superpowers by Jesse Vincent embedded in my workflow. TDD enforced, architecture before code, scale-adaptive. Heavy on persistent project knowledge - PRD, architecture, roadmap, orchestration plan. - rageatc-design - design systems for UI work. Greenfield or extracted from existing code. This is an amazing interface-design by Damola Akinleye embedded in my workflow. Most software work uses all four. Non-coding work usually only needs core and tech. --- vs Superpowers rageatc-code draws heavily from Superpowers by Jesse Vincent - TDD enforcement, worktree isolation, verification discipline. What rageatc-code adds on top: persistent project knowledge (PRD, architecture, roadmap that survive sessions), scale-adaptive workflow (matches rigour to project size), and tight integration with rageatc-core'