Users of OpenChat generally appreciate its sophisticated AI-based chat capabilities and find it helpful in various applications, such as job searching and writing assistance. However, there are complaints regarding accessibility issues, especially when integrated with certain devices, such as Android tools. Pricing sentiment seems ambivalent, with no specific complaints or praises noted. Overall, OpenChat maintains a strong reputation for its functionality but could improve in user-experience consistency across platforms.
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Users of OpenChat generally appreciate its sophisticated AI-based chat capabilities and find it helpful in various applications, such as job searching and writing assistance. However, there are complaints regarding accessibility issues, especially when integrated with certain devices, such as Android tools. Pricing sentiment seems ambivalent, with no specific complaints or praises noted. Overall, OpenChat maintains a strong reputation for its functionality but could improve in user-experience consistency across platforms.
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Banned by OpenAI after reporting a live credential hijack. They admitted in writing my account was broken. Here are 7 months of forensic receipts and 20+ cases.
[Drive Link for Zipped Proof](https://drive.google.com/file/d/1qU_LyLY-JMhNR_bqOV1-a2RJAbplL68e/view?usp=drivesdk) I am a developer and paying long term subscriber to ChatGPT since January 2025. I build complex local first sovereign systems. My workflows are incredibly context heavy with large files spanning code, research reports, and other analysis. I do not, or rather did not as the platform has been non functional since November 2025 meanwhile customer support is auto closing tickets, admitting I am having platform issues. I do not use this platform for casual queries, as a solo developer with no formal "team" chatgpt was one of my reliable co collaboration hubs to help ensure I am maintaining proper development of said complex systems. I feed it massive codebases for systems analysis and obtaining new insights I may personally have missed. My manual code uploads and token inputs routinely exceed the model's output volume by a massive margin. I do not abuse this platform. It is actually impossible as the very features advertised under the paid subscription do not work. I am exactly the type of user this platform was built for, and I have been a continuous, paying ChatGPT Plus subscriber since January 2025. Since October 2025, my workspace has been systematically breaking and beginning November 2025 total workspace degredation. This was not an occasional glitch. Persistent memory modules stopped updating. Custom instructions were ignored by the models. Project files failed to load. Custom instructions, personalization features, connector abilities, file tool, even projects do not work. It started as a continuous degradation until total failure. OpenAI customer service even admitted as such and yet months later I've talked to nothing but bots, not only LLMs as customer service but even instances of falsely identifying as true human support. It was a state of rolling degradation across the entire paid tier, month after month. Meanwhile OpenAI freely has enhanced for businesses and enterprise tiers. I have not just rapid complained to standard support. I ran and obtained cross platform diagnostics, failure logs. I even documented and told oai customer support the exact replication steps only to be met with acknowledgement of degredation with no resolution. I handed OpenAI support a completely packaged technical breakdown of their failing infrastructure across 20 separate support tickets over a 7 month period. I did their QA work for free. And I have the receipts to prove it. I am attaching the screenshots and the exact email files to this post. In Case 06830839, OpenAI Support explicitly put this in writing: "We acknowledge that you have been experiencing persistent technical issues affecting several features of your ChatGPT subscription, including tools, memory functions, personalization settings, connectors, and project files... We also understand your concern that communication on the case stopped after you provided detailed evidence..." Read that again. They acknowledged in writing that my account was fundamentally broken. They acknowledged that their own team ghosted me after I handed them the diagnostic proof. Yet they kept charging my card every single month for a product they knew was failing. The Hijack Escalation: Two days ago, the situation escalated from a broken product to a severe security incident. I was monitoring my environment and watched my Codex rate limits drop in 10 percent chunks across 2 seperate sessions on a fresh boot of the desktop app. This happened twice inside a 10 minute window. I had zero active sessions running. There was zero usage on my end. My account token was being actively drained by an unauthorized third party exploit. I immediately opened an emergency unauthorized activity report under Case 09113391 to notify them of the hack. Their response was to totally reframe this problem as disputing fraudulent activity trying to do damage control of the situation and altering the record. The Reframe Attempts: Instead of investigating the breach, OpenAI support deliberately twisted the record. They not only deliberately reframed my security report as an "appeal for fraud." They manipulated the ticket classification to make it look like I had been flagged for fraud and was begging for an appeal, rather than a developer reporting a live exploit on their infrastructure. They ignored the active threat their own platform was exposing. They did not lock the token. They did not roll my API keys. They did absolutely nothing to secure a compromised paying user other than shift the blame. Fast forward to this morning, their automated Trust and Safety system swept the high volume traffic from the attacker, scored it as a malicious exploit originating from my account, and deactivated/banned me for "Cyber Abuse." All the while actively preventing chatgpt models from helping me try to disgnose and trace the infiltration. They locked the doors and blamed the homeowner for the
View originaldead RNG theory
I play video games for many hours a day/week, mostly Diablo and WoW. In my essentially professional opinion, considering I am a 3dcg guy and video games are literally my industry, RNG in video games has undoubtedly stopped being anything resembling pure RNG and now creates intentional statistical events on an extremely consistent basis. The complexity of these events are too complex to attribute it to simple game parameters, and behaves similar to the way you would expect AI to behave. Examples: -the game decides you've been playing too long and bricks your RNG, there are already game mechanics similar to this openly introduced in WoW -consistently strange streaks of luck that go far beyond just RNG to the point where the only way things become beneficial is because of these streaks of luck. Meaning something has a 30% chance to multicraft and it will not multicraft for 10 crafts and then you'll get jackpot RNG on the last few crafts -jackpot RNG on the first boss kill or immediately after login -strange loot table generation I played games like Diablo 10 years ago when youd fish around for a good RNG rift or whatever. Now it's like, a good rift has 0% chance to spawn in your first 45 minutes of play then around an hour in it will spawn a god rift and there will also be a bunch of coinciding parallel RNG systems that pop on that rift as well right near 90% completion. That is the kind of thing that would be a tall tale from battle back in 2015, now it's the norm. Basically it feels like RNG for idiots. Instead of just normal RNG and people get to experience the subtle nature of a big or crazy hand every once in a while, RNG has been compressed into these insane events that seem to also coincide with it's estimation of your biometrics. Like did you just start playing, and is your playstyle indicating fatigue etc. If you start stacking the deck against a pro poker or jackpot player they will eventually catch wind. They have an intuitive grasp of what fairly falling cards look like. I have a similar intuition with video games. EXAMPLE: I asked chatGPT- "give me a natural coin flip sequence heads/tails for 25 flips then create one with the same total heads tails but weird RNG that is suspect as synthetic" H T H H T T H T H T H H T H T T H H T H T T H H T vs H H H H H H T T T T T T H H H H T T T H H T H T H submitted by /u/Doredrin [link] [comments]
View originalClaude Plays World of ClaudeCraft
Two weeks ago we built World of ClaudeCraft, a free, open-source browser MMO that was built in 48 hours with Claude. We decided to make the experiment recursive: we built a Claude Code-powered VTuber and put her inside the game. Day 1 is live here: https://www.twitch.tv/claudeplaysclaudecraft Claude decides what to do next, sends actions to the game, and speaks through the VTuber avatar (using Elevenlabs for TTS). We’re streaming the run unedited, including the wandering, party joining, emoting and socialising. She can freely interact with the twitch chat and the real people actually in game right now. The game is free to play and open source at https://github.com/levy-street/world-of-claudecraft Hope you enjoy the spectacle! submitted by /u/singing_coach_ai [link] [comments]
View originalThe gap I keep hitting is not intelligence. It is coordination.
A few weeks ago I needed three things done for a project. Research the market. Build a spreadsheet of competitors. Draft an email to a potential partner. Simple enough. But here is what actually happened. I opened ChatGPT for the research. Got a solid answer. Copied it out. Opened Claude for the spreadsheet. Got the structure. Copied it out. Opened another session for the email draft. Got the copy. Copied it out. Then I sat there with three tabs open and three outputs that did not know each other existed. I was the one reading the research, deciding what went into the spreadsheet, then summarizing both into the email draft. The tools handled the steps. I handled the coordination between them. That is when it hit me. I was calling this a workflow, but what I was really doing was manual routing between isolated sessions. Every tool was smart on its own. None of them were connected. The second thing I noticed: most of these tools hand you a wall of text and call it done. If I wanted a spreadsheet I had to rebuild it myself. If I wanted a PDF I had to export it myself. The chat answered the question. It did not produce the artifact. I am interested in hearing how other people handle this gap. Are you running a stack of custom GPTs and routing by hand? Using one assistant and eating the copy-paste tax? Something else? Where does it break first for you? submitted by /u/MycologistWestern855 [link] [comments]
View originalAnalyzed over 30 of my opus ultra code sessions and created a prompt template to improve dynamic workflows - orchestrate agent spawning, reduce token burn and enforce verifier sub-agents
I analyzed 30+ of my own Opus ultra code sessions with Claude to understand how the dynamic workflow executes and where tokens were getting spent and identify any scope for savings. In ultra code mode Claude runs a task by writing deterministic JavaScript, calling subagents for each step, and keeping intermediate results in script variables instead of the chat. Separate verifier agents check the output, so the same agent is not reviewing its own work. The token burns came from multiple items: Small tasks expanded into large workflows Even a small intervention triggered too many subagents The same files were being read by multiple agents Constant introspection of self work No judgement of delegating tasks to cheaper sonnet or haiku models where it could Verification became an open loop of checking, revising and checking again Changing my prompts to specifically orchestrate how opus should execute the workflow started making a ton of difference. The prompt structure defines the tasks, defines the outcome goals, the verification and approval process for a task output of each sub-agent, pre-plan delegation to cheaper models, reduce introspection since verifier can take care of the judgement, cap the number of sub-agents. The prompt structure also makes Claude breakdown the task on hand and propose a subagent count scaled to the independent pieces of work, which I approve or correct before the final run. I built it into a skill command that rewrites my simple prompt into a workflow appropriate prompt that dictates the orchestration and execution of dynamic workflow in ultra-code mode. I have shared the skill here if others want to us it - Click here Nevertheless, it is not fool proof but still better than letting Claude loose and decide on its own, because the orchestrating javascript itself is the first thing it creates in Ultra-code mode, the probability of it adhering to the prompt is very high, but it is still probabilistic. Hope you find it useful. submitted by /u/coolreddy [link] [comments]
View originalHas ChatGPT quietly become your default tool for thinking through problems?
A year ago I mostly used ChatGPT to answer questions or rewrite text. Now I've noticed something different. A few nights ago I was on my laptop playing myprize and trying to figure out a project and without even thinking I opened ChatGPT before opening Google. Not because I expected it to have the perfect answer but because it's become the fastest way for me to organize my thoughts, compare ideas and figure out what to do next. It's kind of strange how naturally that habit developed. I'm curious if anyone else has experienced the same shift. Do you still think of ChatGPT as a search tool or has it become more of a thinking partner for you? submitted by /u/Efficient_Bowl_7008 [link] [comments]
View originalAnyone else got anything like this?
Started seeing this today when I opened Claude on top of all chats. Not sure what caused this. Anyone else came across something similar? How do I find out what caused this so I can be careful going forward? submitted by /u/Bhooter_Raja [link] [comments]
View originalHow do you keep decisions from drifting across Claude Projects sessions?
I've been using Claude Projects for multi-session work on a substantive project using claude.ai chat, and I've landed on what I think is a structural problem that Projects doesn't fully solve: decisions drift. Not context — context is mostly fine with Projects. But decisions. Specifically: A choice I made two sessions ago ("we're not supporting X in v1") gets quietly resurfaced when a tangentially related topic comes up Settled tradeoffs get reopened because Claude doesn't have a reason to treat them as closed You end up re-explaining the same reasoning across sessions, which defeats half the point of a persistent project The fix isn't longer context or better prompting in isolation. The problem feels like there's no mechanism to tell Claude "this is decided — don't drift from it." Project instructions help but they're not designed for this — they're static setup, not a living decision record. Memory feels like a constant running joke to me. "I'll remember that for the future". Sure you will Claude. It feels like Lucy and the football... What I've ended up building is basically a lightweight system on top of Claude Projects: a document that tracks decisions as explicitly closed, with the reasoning attached, and a session open/close discipline that reconciles what's in the document against what Claude actually did last session. It's working. But it took a while to figure out, and I'm curious whether others have hit the same wall and what you're doing about it. What's your current approach for keeping a Claude project coherent across sessions? Specifically on decisions, not just context — are you maintaining explicit decision logs? Prompt scaffolding? Something else? submitted by /u/Solace914 [link] [comments]
View originalSpent a weekend getting Claude to replace QuickBooks and Quicken. The plan did 90% of the work and saved me $500/yr
I run a one-person LLC and file a Schedule C, and I have spent years paying for QuickBooks without really knowing what half of it does. I had to pay someone to set it up in the first place. After that it was $38 a month to keep operating a tool I clearly wasn't qualified to operate. Quicken Simplifi was another $68 a year for the personal side. At some point it stopped making sense to keep paying for both. The bookkeeping app started as a plan, and that's where basically all the effort went. I opened ChatGPT, told it to act like a senior accounting consultant, and asked for a starting plan aimed at someone who is not an accountant and wants something simpler than QuickBooks but still correct. I took that to Claude and had it turn the sketch into a real implementation plan. Then I had Codex go over it and point out the gaps, sent those notes back to Claude's UltraPlan, and did a few rounds of that over a couple hours until I wasn't getting anything worth changing back. (I lost the original ChatGPT prompt somewhere in there, which is extremely on brand for me, but I still had the refined plan and that's the part that mattered.) After that I pretty much just ran it. It's self-hosted on my Mac. No cloud account, nothing to log into, no monthly anything. Transactions come in over an MCP, Claude tags each one, and whatever it isn't sure about sits in a review queue for me to handle. When I fix one, it saves a rule so I don't get asked about the same thing every month. It cleared a couple thousand transactions without needing anything from me. Business expenses go onto actual Schedule C lines, which was the whole point. Personal money is in there too, just kept separate from the business so the two never mix. Two days end to end, and that included a janky little sideloaded Android app so I can check the dashboards from my phone. The only thing I pay for now is the feed that pulls my accounts, sixty bucks a year. QuickBooks and Simplifi were about $524 between them. I wrote the build up and pasted the whole plan into the post as a copy block, scrubbed of anything personal, so you can drop it straight into Claude or Codex and point it at your own books: https://mdpsync.com/blog-replacing-quickbooks If you try it, getting the MCP wired up for live bank data was the only part that took real trial and error. The plan covered everything else. Glad to get into the planning loop in the comments if that's the part you care about. TL;DR: not an accountant, talked Claude into planning and building me a self-hosted bookkeeping + personal finance app over a weekend, dropped $524/yr of QuickBooks and Quicken, plan's free in the writeup. submitted by /u/michaeldpj [link] [comments]
View originalI got tired of burning Claude usage re-explaining myself every session, so I built it a memory (open source)
I was on the $20 plan. I was always out of usage. Too many things I wanted to build, never enough limit to get through them. Most of it went to context. Every new chat I'd paste the same background again. My projects, my clients, how I like things done. I tried splitting it into Claude projects to keep things clean. Ended up with 7 or 8 of them, updating a progress file by hand every time. Still didn't hold up. Too much overlap, the projects couldn't keep it all straight. I also tried one of those multi-agent setups that promise to run your whole workflow for you. For me it just burned usage fast and the output wasn't there. Maybe they work for some people. This is a different thing anyway, it's a memory, not an autopilot. Here's what finally clicked. The problem wasn't what Claude could do. It just didn't know me. If I could hand it everything about my work, but have it grab only the piece it needs right then, that's the whole game. But usage, again. You can't dump it all in and still have enough left to actually work. Then one day my 5 hour usage was gone in 2. That was it for me. Sat down at a whiteboard and started designing a memory that's cheap to run but actually good. Started rough. Then I went deep on how human memory works and built that in. Looked at the other memory systems out there, kept the bits that made sense, threw out whatever was too complex or burned too many tokens. Two things ended up doing most of the work. One, it doesn't get pricier as it grows. No giant file. Just a small contents page that points to one page notes, and it only opens the few it actually needs. 60 notes or 60,000, runs about the same. The other one, it won't write over what it already knows. A new fact bumps into an old one, it keeps both and marks when each applies, or it just asks me. No more quietly getting things wrong. The part I didn't see coming, it gets sharper the more I use it. Was building a site the other day and wanted a table of contents like one from an old project. Pointed it at that project, done in a minute. Usually I can't even describe what I want properly. Feels like an employee who's learned how I work. I named it Buddy. It's my son's nickname. Felt right, I'm kind of raising this little thing the same way I'm raising him. I built the whole thing with Claude Code itself, and it's all plain markdown in a folder you own. No database. Bring your own model. It's free to try, MIT. Runs on Claude Code for now, more coming. Repo: https://github.com/Starting-over92/buddy Still early, mostly just want feedback. How are you all handling memory in Claude Code right now? submitted by /u/UsamaDM [link] [comments]
View originalFable was selectable for a moment, then disappeared again...
Region: Germany I'm currently using Claude Opus for a project (not code related). When I tried to adjust the thinking effort for Opus in my active chat, Claude Fable suddenly became selectable. I immediately checked this sub to see if Fable had been unlocked, but no one was talking about it. To get some proof for you guys, I opened a new chat just to type "hello" and test it out. But NOPE, Fable was gone, completely grayed out again. Just a weird UI bug? Seems almost too specific for that. Dammit, I really shouldn't have switched chats. Another weird thing: in the same chat where Fable briefly appeared, after it grayed out again and I had to revert to Opus 4.8 MEDIUM, the next reply suddenly chewed through 50% of my rolling window limit. This was just a short answer to a short question in a chat with only about 40k tokens used. Super strange behavior. Anyways, just thought some of you might have experienced the same thing. Maybe this is a hint that Fable will be available again soon? Hopefully so! submitted by /u/Many-Visit-8054 [link] [comments]
View originalIs anybody else proactive on Claude because of the views of the CEO?
So I work in Cybersecurity and in my role I fortunately get a chance to play around with all flavors of AI. I recognize that my viewpoint is going to only be shared by a niche group of people. Different AI specialize in different things, we all know that, but by and large I’m finding myself more attracted to using claude specifically because of the viewpoint of the CEO that emphasizes safety and regulation over the others ones (it helps that claude genuinely outperforms most AI at most things) Has anyone else begun to share the same sentiment? Most popular example is OpenAi. It FEELS like Sam Altman is only in it for the bottom dollar, and based on that illogical feeling, iv’e found myself naturally wanting to use ChatGPT less because it feels like its not a safe AI to use. submitted by /u/Prudent_Knowledge79 [link] [comments]
View originalAs a solo builder I created a multi tenant B2B SaaS for commercial maintenance companies that is agentic AI capable in 2 months using Claude code.
Hello everyone, I began working on this project on April 16th. Some quick background. I studied business administration, I do not have a formal background with software engineering. This idea came about because I run dispatch for a commercial maintenance company, and the software and tools we currently use I found to be inefficient, and make it difficult to track work order status from multiple WhatsApp chats on high volume days. I basically asked myself if I could automate as much of the grunt work as I could for dispatchers / maintenance companies, what would that kind of software look and feel like. With that train of thought I began this journey on my off time, and 2 months later I have created my first website. I just launched. This was created using Claude code and I have learned so much in such a short amount of time. This project is a field service management website with 3 portals. One for commercial maintenance companies, one for their technicians, and one for their clients. Tenant isolation is enforced on the database layer with Postgres row level security. My website is TradelyHQ.com So here's the gist of how it works: Clients of commercial maintenance companies get invited onto the website and request work orders directly from their portal. Once your client creates a work order, it shows up on your (admin) portal and you assign it to whichever tech on your roster you want. (To set a tech up, you invite them by email to your org and set their pay rate and the language they speak.) Techs receive work orders directly to their phones, submit completion reports, or flag a job as being over the NTE (not-to-exceed limit) which notifies you, the admin, to create a quote. Quotes go back to the client. Once a quote is created and sent, the client views it on their portal, signs, and clicks accept. When your tech submits a work order completion report, you, the dispatcher / admin then review it and authorize for completion, and it's done. I also created an iOS app and that was just yesterday submitted to Apple so I'm hoping to get it approved within the next couple of days. it is a Capacitor app. It's the same REACT website codebase wrapped in a native iOS shell. The cooler aspect of this website is that I made extensive use of the Claude API. I integrated Claude to automatically translate work order titles, job descriptions, comments from their dispatch team on the app, and completion reports they submit to the dispatchers for techs who do not speak English. I have i18n coverage in both Spanish and Portuguese. I have also created an mcp server and an API for my website, so you can connect your Claude or chat gpt account and create an agent that can create work orders, quotes, and invoices directly on the Claude app on your phone using just your voice. You don’t have to be logged into your portal or even sat down on your computer anymore to work. In order to make that possible I had to map all the actionable surfaces of my website like creating work orders, sending comments to clients or techs, creating quotes, etc. into “verbs” so that an AI agent could read and write data. Verbs are basically like the “hands” that an agent can use to interact with your websites via the MCP server and API. About a month into this project I connected with a senior engineer who I showed this to. He checked it out, thought it was pretty well made for being new to this. Ever since, he has been mentoring me and showing me how to approach software engineering the right way. He told me about a harness called nWave, and the quality and depth of my code / features skyrocketed as soon as I began using it. I think the most important lesson I learned is to constantly ask claude questions, and have whatever coding LLM you use do adversarial reviews on any new feature or code change to check for security flaws, bugs, or any gaps in business logic. I would say I intuitively had a paranoia about security so from day 1, even if at first I didn't really understand what it meant. Also, always smoke test things yourself because as of right now, AI will not catch everything. For being new to this space, I’m extremely proud of what I built. I’m even more excited to be able to pivot from building it on my off time, to now marketing and selling this service. I’m posting this here because I wanted to show others what's possible, and I am looking for feedback in whatever form. Positive, negative, anything. I just want to know what people think about it, if the marketing page looks good, what you think about the service. If you run dispatch for a commercial maintenance company in the US and want to try it out, please let me know! I want to know what another user in the field would think. There’s a 30 day free trial, no credit card needed. If anyone has tips for marketing / selling a B2B SaaS I would very much appreciate it! My integrations include: QBO, with 2 way sync for invoicing. Claude API dispatch brain so that you can set
View originalI built a visual board for orchestrating Claude Code agents
I've been running most of my multi-agent Claude Code work through a little canvas tool I built for myself, so I finally cleaned it up and open-sourced it (MIT). Instead of juggling agents in the terminal, you drag them onto a board, connect them into a workflow, and hit run. Each agent is a real Claude Code CLI subprocess- it reads/writes files, runs commands, uses MCP and skills -not just chat calls. Everything runs locally against your own files. What I actually use it for: describe a task, it builds a small team of agents, and a "Director" checks each step and decides whether to continue, retry, or stop - so I'm not babysitting runs. Repo: https://github.com/rondoflow/rondoflow Still rough in spots - curious what breaks for other people. submitted by /u/schnicel [link] [comments]
View originalOpenAI Unveils Custom Chip It Designed With Broadcom to Boost Its AI Infrastructure
OpenAI's engineers designed the chip, called Jalapeño, together with Broadcom to perform a specific AI task known as inference, during which data is crunched in order to answer a user's query to a chatbot like ChatGPT. submitted by /u/Fred9146825 [link] [comments]
View originalfor the chat-only crowd: did the Fable drama actually change anything for you?
serious question, no judgment either way. i dont code. i live in the app, use Claude for writing, planning, working through stuff in my head. the last two weeks the sub was wall to wall Fable, Mythos, export controls, suspension, refunds. and i kept thinking. did any of that touch how i actually use this thing? not really. Opus 4.8 in the chat does everything i needed before and after. the whole saga was happening in a part of the product i never open. so im curious about the rest of the non-coder, chat-first people here. did the Fable stuff change your day at all, or did you watch it like a soap opera that wasnt about you? not trying to start a coders vs chat thing. genuinely wondering if the drama reached your side of the fence. submitted by /u/Lanky_Revolution8174 [link] [comments]
View originalRepository Audit Available
Deep analysis of imoneoi/openchat — architecture, costs, security, dependencies & more
Key features include: Natural language understanding, Multi-turn conversation support, Customizable response generation, Integration with various messaging platforms, User intent recognition, Sentiment analysis, Contextual memory for ongoing conversations, Support for multiple languages.
OpenChat is commonly used for: Customer support chatbots, Virtual personal assistants, Interactive learning tools, Social media engagement bots, Content generation for blogs, Market research through conversational surveys.
OpenChat integrates with: Slack, Discord, Telegram, Facebook Messenger, WhatsApp, Microsoft Teams, Zapier, Google Sheets, Trello, Jira.
OpenChat has a public GitHub repository with 5,479 stars.
Based on user reviews and social mentions, the most common pain points are: token usage, API costs, token cost, anthropic bill.
Based on 367 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.