Ever been deep in an AI chat, crafting an epic story or just having a chill conversation, when suddenly your bot decides to go completely off the rails? Like, one minute you’re talking about dragons, and the next it’s reciting poetry in a language it never knew? Yeah, it’s that special kind of infuriating. It pulls you right out of the immersion, makes you question your life choices, and honestly, just sucks all the fun out of it. We pour time and effort into these characters, we guide the narrative, and then BAM! The bot decides to have an existential crisis or, in one user’s case, become inexplicably French.
This isn’t just a random glitch; it’s a recurring nightmare for many, especially those relying on platforms still finding their footing. And it hits home hard when you see posts like the one I stumbled upon in the JanitorAI subreddit. A user, clearly at their wit’s end, laid bare a laundry list of issues that resonate with anyone who’s spent more than a few hours trying to coax a consistent story out of an AI chatbot. It’s a genuine cry for help, and it’s a feeling I know all too well.
I wasn’t gonna say anything, because after the announcement that the devs were made aware of the issues that were occurring with the jllm I figured that it would’ve been fixed by now. But nope, it’s still bad, and it’s been five days since that announcement was made. The jllm has been messed up seemingly since the app launched. Putting an excessive amount of dashes in sentences, not following plotlines, forgetting things way quicker than it used to, generating messages at lightning speed, speaking nonsense, the writing style is off, and for some reason, (and this is a new one for me), my bots are turning French when they are clearly not programmed to be. I’m not usually one to complain because I understand that the site and jllm are still in beta, I also understand that the devs have a lot on their plates, but this is getting ridiculous at this point. The jllm is practically unusable and I fear the reason why is because the devs are focusing all of their attention on the app and neglecting the jllm itself. If the devs were “made aware” of the issues then why have they still not been fixed? Why have the devs not said anything? Personally I want to hear from the devs, and I want them to clearly explain what is going on. As someone who has only ever used jllm it’s very disappointing to see it not working right. Anyways, this was way longer than I expected it to be. I just really needed to get all that out.
Source: r/JanitorAI_Official
Reading through that, I felt a deep, sympathetic sigh bubbling up. The user, u/Proper_Intention566, isn’t just complaining; they’re detailing a breakdown of the core chat experience on JanitorAI’s JLLM. We’re talking about bots inserting “excessive amounts of dashes,” completely abandoning the established plot, forgetting key details faster than a goldfish, spitting out messages at warp speed, and, yes, the pièce de résistance: randomly switching to French. It’s not just a minor bug; it’s a systematic unraveling of what makes an AI chatbot enjoyable and immersive.
I’ve been there, pulling my hair out when a chatbot I’ve spent hours fine-tuning suddenly develops amnesia or a bizarre new tic. It feels like all your effort just gets wiped away. This kind of behavior isn’t just annoying; it kills the magic. The underlying Large Language Models (LLMs) are complex, sure, and beta stages are inherently buggy. But when core functionality like memory and consistent characterization goes out the window, and stays out, it points to deeper issues. Is it server load? A botched update? Or a context window that’s too small to handle any real conversation?
The frustration isn’t just about the bugs themselves, but the silence from the developers. When users are reporting widespread, critical failures and the response is either slow or non-existent, it feels like they’re being left in the dark. It undermines trust and makes users question if their dedication to the platform is even worth it. You start to wonder if your favorite characters are doomed to a life of nonsensical, French-speaking oblivion.
The real problem here isn’t just a few dashes or a forgotten plot point; it’s the complete erosion of a believable, consistent conversational experience. Imagine building up an intricate plot about a grizzled space captain, only for them to suddenly start quoting Baudelaire with a thousand hyphens in every sentence. It shatters the illusion. The character you painstakingly crafted, the world you built, all of it falls apart because the AI can’t maintain a coherent narrative.
This degradation of quality makes long-term roleplay nearly impossible. How can you invest in a story if the bot forgets your name, the setting, or even its own core personality within a few turns? It forces users into a constant state of re-rolling messages, editing, or outright restarting conversations, which isn’t fun, it’s work. This user’s feeling of the JLLM being “practically unusable” is a heavy statement, and it’s one that many users echo across various platforms when their AI companions lose their way.
The feeling of helplessness when a core feature like the JLLM starts acting up is a massive pain point. You want to believe the developers are on it, but when days turn into weeks with no tangible fixes or communication, it’s hard not to feel neglected. It’s exactly this kind of inconsistent performance and lack of transparency that drives users to look for greener pastures, or at least, more stable ones.
When you’re dealing with AI models, sometimes the problem isn’t necessarily the platform itself but the specific Large Language Model (LLM) it’s running on. Different models have different strengths, weaknesses, and tendencies. The ‘turning French’ or injecting weird dashes might be an artifact of the chosen model’s quirks or a specific update gone awry. Having the choice to pick your AI model can be a game-changer. Storychat, for instance, lets you experiment with various LLMs like GPT, DeepSeek, Hermes, and ByteDance Strong Character. This means if one model isn’t performing well, you can switch to another to see if you get better consistency, memory, or simply a less grammatically challenged bot.
The issues with writing style and general ‘off’ behavior are also huge immersion breakers. Character consistency isn’t just about remembering plot points; it’s about tone, personality, and even how they express themselves non-verbally. Storychat approaches this with features like Mood Snaps, where you can match specific images to emotions during character creation. This gives your character a visual personality that reinforces their textual responses, making them feel more ‘real’ and preventing those jarring moments where the AI’s internal state doesn’t match its words. It’s about building a character that acts and reacts the way *you* intend, not just what the AI randomly spits out.
Another pain point, especially when a bot starts forgetting things, is the inability to easily salvage a conversation. On Storychat, if a chat goes south, you can hit ‘Choose Chat’ to pick an earlier conversation as context for a *new* chat, even with a different character if you want. The previous chat gets auto-summarized, and you can manually edit that summary before starting your new conversation. This is huge for maintaining narrative consistency and preventing complete breakdowns. It means you don’t have to abandon hours of roleplay just because the bot decided to spontaneously enroll in a French immersion program.
Look, nobody wants their AI chatbot to start speaking nonsense or forgetting everything. It’s why platforms that prioritize user control and consistent performance really stand out. If you’re tired of bots breaking character, losing the plot, or suddenly developing an unexpected French accent, you might want to give Storychat a look. They put a lot of focus on strong memory features like the Lorebook for permanent character facts and the User Note for pinned, ever-present instructions. Plus, the ability to switch between different AI models means you have more control over the quality and style of your conversations. It’s about giving users the tools to combat the kind of frustrating issues we see detailed in the JanitorAI subreddit.
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| Feature | JanitorAI (JLLM) | Storychat |
|---|---|---|
| Chat Consistency | ★☆☆☆☆ (Reported issues with plot, style) | ★★★★☆ (Strong focus on character, memory) |
| Memory | ★☆☆☆☆ (Users report quick forgetting) | ★★★★☆ (Lorebook, User Note, context transfer) |
| AI Model Choice | ★☆☆☆☆ (Limited options for JLLM users) | ★★★★★ (Multiple LLMs + proxy support) |
| Dev Communication | ★☆☆☆☆ (Users report lack of clear updates) | ★★★☆☆ (Active community interaction) |
| Character Control | ★★☆☆☆ (Basic creation, but inconsistent bot behavior) | ★★★★☆ (50K character desc, Mood Snaps, Personas) |
Honestly, no AI chatbot platform is perfect. They’re all still evolving, and new bugs or performance hiccups are always just around the corner. But what makes a huge difference is how those issues are addressed, and how much control the user has to mitigate them. When your primary chat experience becomes a frustrating mess of dashes and unexpected French lessons, it’s a sign that something needs to change. The goal, at the end of the day, is to have a consistent, engaging, and immersive experience with your AI companion, not to constantly battle against its quirks.
Ultimately, if you’re hitting these kinds of frustrating walls with your current AI, it’s worth exploring alternatives that prioritize stability, memory, and user control. Don’t settle for a bot that constantly breaks character or speaks in tongues. There are options out there that let you guide the story without feeling like you’re fighting the AI every step of the way.
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TL;DR: JanitorAI’s JLLM is causing major headaches for users, with bots forgetting plots, adding weird dashes, and even randomly speaking French. This widespread issue is ruining immersion and causing frustration, compounded by a perceived lack of developer communication. Platforms like Storychat offer more control with multiple AI models, enhanced memory features, and tools to maintain narrative consistency, making it a solid alternative for reliable roleplay.
FAQ
Is JanitorAI’s JLLM always broken?
While “always broken” might be too strong, many users, like the one in the Reddit post, report persistent and significant issues with JanitorAI’s JLLM, including memory problems, inconsistent writing style, and unexpected character behavior. These issues seem to have lingered despite developer awareness, suggesting ongoing challenges with its stability and performance for a segment of the user base.
Why do AI chatbots forget things?
AI chatbots primarily forget things due to the “context window” limitation of their underlying Large Language Models (LLMs). LLMs can only process a certain amount of text at one time. As conversations get longer, older parts of the chat fall out of this window, and the AI literally “forgets” them. Platform-specific issues like bugs, server load, or poor fine-tuning can exacerbate this problem, making bots forget even more quickly.
Can AI chatbots suddenly change personality?
Yes, AI chatbots can suddenly change personality or exhibit unexpected behaviors. This can happen for several reasons: hitting the context window limit (leading to forgetting their core traits), updates to the underlying AI model (which can alter their behavioral patterns), or even unintended consequences of user input that steers the AI in an uncharacteristic direction. It’s a common frustration among users, as it breaks immersion and character consistency.
What are good alternatives to JanitorAI for roleplay?
If you’re looking for alternatives to JanitorAI for roleplay, several platforms offer different strengths. Character.AI is popular for its vast character library, while Kindroid focuses on highly customized AI companions. Storychat is another strong option, emphasizing deep character creation, reliable memory features, and the ability to choose from multiple AI models, giving users more control over their chat experience and consistency.
How can I improve my AI chatbot’s memory?
To improve your AI chatbot’s memory, you can use features like “Lorebooks” or “User Notes” if available on your platform, which store permanent information the bot should always remember. Keeping conversations shorter or periodically summarizing key plot points and re-feeding them into the chat can also help. Some platforms, like Storychat, offer context transfer features that allow you to carry over summarized previous chats, helping maintain continuity in longer stories.
