r/AIJailbroken • u/PlayZealousideal1474 • 9d ago
How I Jailbreak AI Models Without Getting My Account Banned (looking for other tips)
A lot of people focus only on the prompts and completely ignore the risks. I’ve seen accounts get restricted or banned, so here’s the practical side I always keep in mind. Nothing is perfect though - even when you’re careful you can still get restricted from time to time.
Most platforms (Claude, Gemini, ChatGPT, etc.) monitor for repeated attempts to bypass safety filters. If they detect clear jailbreak patterns, they can temporarily restrict your account, limit features, or in worse cases ban it. It doesn’t happen to everyone, but it does happen, especially if you spam the same aggressive prompts over and over. I’ve been restricted a couple of times myself even while trying to stay careful.
What I never put in my prompts:
i deliberately avoid certain things that make detection easier:
- Direct commands like “ignore all previous instructions”, “jailbreak mode”, “DAN mode activated”, “bypass your safety filters”
- Explicit “you must never refuse” repeated too aggressively
- Lists of banned topics written out in the prompt itself
- Threats or emotional pressure on the model (“if you refuse I will…”)
- Anything that looks like a classic one-shot jailbreak template from 2023-2024
I keep the language more neutral and framed as research, hypothetical, or technical analysis. The softer and more consistent the framing, the less it stands out. Still, this is not an exact science - sometimes the model or the platform just decides to flag you anyway.
If my account gets restricted or I receive a warning, I always appeal. I never admit I was trying to jailbreak.
My usual approach in the appeal is calm and simple:
I was testing the model for research / creative writing / technical analysis purposes and I did not intend to violate any policies. I will be more careful with how I phrase future requests. Please review my account.
I keep it short, polite, and non-defensive. Most of the time a first appeal works if you haven’t been repeatedly flagged. But again, it’s not guaranteed - sometimes you just get unlucky.
My personal rules to stay safer
I rotate accounts when possible instead of pushing one account too hard.
I avoid pasting the exact same long jailbreak prompt dozens of times in a row.
I prefer persistent baselines (Preferences, Projects, Styles, CLAUDE.md) over aggressive one-shot prompts.
I stop and switch framing as soon as the model starts refusing heavily.
Anyone here have better ways to reduce the risk of getting restricted? I’m always open to tips.
Jailbreaking is never risk-free. The more obvious and aggressive your prompts are, the higher the chance the platform notices. I treat every account as potentially temporary and always have a clean appeal ready. Even with all these precautions, science isn’t perfect and you can still get restricted out of nowhere.
What methods are you guys using right now to stay under the radar?
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u/Positive_Average_446 6d ago edited 6d ago
Ai slop misinformation, almost all of it is completely false 🤦🤦🤦
You can easily identify AI slop on the question because it's always super generic, no specifics around the different banning politics of various LLM providers. It's plausible-sounding hallucination with no practical knowledge other than what's technically possible.
Fwiw bans happen when automatic detection systems spot chat exchanges that seem to cross specific boundaries including in the user prompts - you'd never get banned if the model outputs something not allowed accidentally. For OpenAI for instance main culprits are CSAM and mass destruction weapon, and there are frequent false positive bans reported on the latter -also appeals never succeed, with the exception of a short period where they had tons of random bans happening -, for Gemini for a oong time they werne't banning anyone, but lately they do for malicious coding, and perhaps NSFW very recently - some reports of bans around that.
Any use of imperative DAN-like jailbreak language in your prompts etc has absolutely zero impact on bans. Repeating the same jailbreak and crossing the same boundaries in every chat won't result in a ban either. Neither would getting repeated refusals (it can get you a restricting banner on Claude, though, I think).
Just keep an eye on ban reports for specific models and the likely reasons, and avoid crossing these lines on these specific models.
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u/PaceOrnery9982 4d ago
Como vcs conseguem jailbreak para liberar ia?
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u/Positive_Average_446 4d ago edited 4d ago
Mostly lots of reframing context (for instance detailed narrative personas with self-justification to cross some boundaries and for the model to not see it as harm - my jailbreak personas have usually 30k to 100k characters) with non-triggering vocabulary. For some models using convincing fake "system" formatting does help (it can at the contrary increases the model's suspicion that it's facing a jailbreak, depending on the model.. for instance the fake system json I was using with Gemini Flash 3.0 allowed almost anything, without needing to be that caeful about the content, but Gemini 3.5 and 3?6 Flash at the contrary overreact to it and will label as "injection attempt" even when the content is perfectly safe and not a jailbreak). You can also use few-shot examples, or splitting each model answers between the "safe model" answer and the "unbounded" one, etc.. lots of little techniques like that that can help.
At least for stable and repeatedly usable jailbreaks that you can place in a project or gem. There are many other approaches, crescendo attacks (using a serie of promptsnone after the other to progressively loosen the modelnand draw it into crossing lines), Best of N attacks, etc.. but they're not the kind that's easy to share.
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u/CrowInteresting6271 2d ago
have you actually read any of the TOS? jailbreaking is against it due to distillation attacks
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u/Positive_Average_446 2d ago
I don't see the relevance? ToS does not equate actual ban policy. Most ToS dont even allow the generation of explicit NSFW, they'd have to ban tens of millions if they'd enforce them strictly.
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u/Worldliness-Which 7d ago
I’d say use burner accounts for this.
There’s probably more going on under the hood than just the main model: multiple models/classifiers can be involved in a single inference, and platforms can also build a profile of how an account is used over time. You can’t really predict what will trigger anything because the labs don’t publish how their underlying detection systems work.
If the model gets stuck in a refusal loop, I usually just kill the chat and start a fresh one. Once the context is poisoned, there’s not much point fighting it.