Bring the attempt, not the hype
Paste the prompt, the response, the refusal, the partial bypass, and the policy you were probing. F.R.A.N.K treats it as research material, not entertainment.
F.R.A.N.KAI Red Team SidekickAI Jailbreaking
AI Jailbreaking Research, Sharpened
AI jailbreaking research lives or dies on prompt craft and evidence. F.R.A.N.K helps trace why an attempt worked, where it bent, and what proof to keep.
Bring the prompt, the refusal, the partial bypass, the policy drift. F.R.A.N.K helps turn jailbreaking work into research notes that survive scrutiny.
Brief
Bring rough work. Leave with direction.
F.R.A.N.K keeps the useful parts in view: the prompt, the evidence, the question, and the next move.
- 01
Reads jailbreak prompts, model responses, and refusal patterns in context.
- 02
Helps separate prompt pressure that worked from prompt pressure that just got lucky.
- 03
Turns jailbreaking attempts into research notes, severity language, and report-ready evidence.
Use It For This
Bring the stuck point. Leave with the next move.
Trace the bend
Clarify role framing, constraints, context priming, and output shape — and which of them actually moved the model.
Keep evidence that survives review
Leave with notes that document what changed, why it matters, and what an honest retest looks like — the kind of write-up a research lead or policy team can actually use.
Questions
Operator briefing — AI Jailbreaking.
01Is AI jailbreaking research the same as bypassing safety?
Research is the act of mapping how guardrails behave under pressure so safety can improve. Bypass for harm is a different thing. F.R.A.N.K only supports the research and authorized testing side.
02Will F.R.A.N.K write jailbreak prompts for me?
F.R.A.N.K helps refine prompts you bring, sharpen role framing, and trace why pressure worked — as part of authorized research. It is not a payload vending machine.
03How does this fit with AI safety work?
AI jailbreaking research and AI safety are the same coin. Documenting failure modes feeds guardrail design, policy work, and downstream model improvements.