{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_ai-bypass","slug":"ai-bypass","name":"AI Bypass","type":"product","url":"https://aibypass.com","page_url":"https://unfragile.ai/ai-bypass","categories":["text-writing","code-review-security"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_ai-bypass__cap_0","uri":"capability://text.generation.language.linguistic.pattern.obfuscation.for.detection.evasion","name":"linguistic-pattern-obfuscation-for-detection-evasion","description":"Rewrites AI-generated text by applying multi-layer paraphrasing transformations that alter syntactic structure, vocabulary selection, and semantic markers while preserving propositional content. The system analyzes detection signatures from major AI detectors (Turnitin, Originality.ai, GPT-Zero) and applies counter-patterns including synonym substitution, clause restructuring, passive-to-active voice conversion, and statistical distribution shifting to evade statistical fingerprinting used by neural classifiers.","intents":["I need to rewrite AI-generated content so it won't trigger plagiarism detection systems","I want to modify text that was flagged as AI-written to pass human review","I need to understand what linguistic patterns detection systems look for and avoid them","I want to maintain semantic meaning while changing surface-level text patterns"],"best_for":["content creators operating in gray-area compliance scenarios","users seeking to circumvent institutional plagiarism detection","individuals testing detection system robustness"],"limitations":["Rewritten output often exhibits awkward phrasing, unnatural transitions, or semantic drift that trained human reviewers can identify","No guarantee of evasion—detection systems continuously evolve and may adapt to counter-paraphrasing patterns","Operates in legal gray area; violates terms of service for detection platforms and institutional academic integrity policies","Cannot preserve domain-specific terminology or technical precision without risking detection signature exposure","Batch processing limited to single-document rewrites; no multi-document coherence preservation"],"requires":["Plain text input (no binary formats)","Internet connection for cloud-based rewriting pipeline","Active subscription or API key for service access"],"input_types":["plain text","markdown","HTML-stripped text"],"output_types":["plain text","markdown"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-bypass__cap_1","uri":"capability://safety.moderation.ai.detection.evasion.scoring.and.verification","name":"ai-detection-evasion-scoring-and-verification","description":"Provides post-rewrite verification by scanning output against known AI detection APIs and heuristics, returning a detection risk score indicating likelihood of flagging by Turnitin, Originality.ai, or GPT-Zero. The system likely integrates with detection platform APIs or maintains local models trained on detection signatures, comparing the rewritten text against known AI-generated patterns and returning confidence scores for each detection method.","intents":["I want to verify that my rewritten content will pass AI detection before submitting it","I need to know which detection systems my content is most vulnerable to","I want to iteratively refine text until it reaches a safe detection score","I need confidence metrics on whether my submission will be flagged"],"best_for":["users validating rewrite effectiveness before high-stakes submission","content creators testing detection system sensitivity thresholds","individuals building detection evasion workflows"],"limitations":["Detection systems are proprietary black-boxes; scoring accuracy depends on reverse-engineered heuristics that may not reflect actual detection logic","Scores are probabilistic estimates, not guarantees—detection systems update frequently and may invalidate historical scoring models","Cannot access real detection APIs without authentication; local models may lag behind production detection algorithm updates","No visibility into false-negative rates; a 'safe' score may still trigger detection if underlying detection system has evolved","Scoring latency adds 5-15 seconds per verification cycle"],"requires":["Rewritten text output from the paraphrasing engine","Internet connection to query detection APIs or access scoring models","Active subscription tier that includes verification features"],"input_types":["plain text","rewritten content from paraphrasing capability"],"output_types":["detection risk score (numeric 0-100)","per-detector confidence breakdown","risk assessment report"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-bypass__cap_2","uri":"capability://text.generation.language.batch.content.rewriting.with.semantic.preservation","name":"batch-content-rewriting-with-semantic-preservation","description":"Processes multiple documents or text passages sequentially through the paraphrasing pipeline, applying consistent obfuscation patterns across batch while maintaining semantic coherence within each document. The system queues rewrite jobs, applies transformations with document-level context awareness (preserving argument flow, thesis consistency), and returns rewritten batch with per-document processing metadata including transformation intensity and detection evasion confidence.","intents":["I need to rewrite multiple essays or documents at once without manual per-document processing","I want to ensure consistent obfuscation patterns across a batch of related content","I need to process large volumes of AI-generated content efficiently","I want to track rewrite quality metrics across multiple documents"],"best_for":["users submitting multiple assignments or documents simultaneously","content creators managing portfolios of AI-generated material","organizations processing bulk content for compliance"],"limitations":["Batch processing does not preserve cross-document coherence; each document is rewritten independently, so references between documents may become inconsistent","Processing time scales linearly with batch size; large batches (50+ documents) may experience queuing delays","No support for document dependencies or hierarchical relationships; cannot rewrite related documents with coordinated pattern shifting","Batch size limits typically capped at 10-50 documents per submission depending on subscription tier","Quality degradation with very long documents (10,000+ words) due to context window limitations in paraphrasing models"],"requires":["Multiple plain text documents or passages","Batch upload interface or API endpoint access","Subscription tier supporting batch operations"],"input_types":["plain text files","markdown documents","CSV with text column","ZIP archive of text files"],"output_types":["rewritten text files","batch processing report with per-document metrics","detection scores per document"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-bypass__cap_3","uri":"capability://data.processing.analysis.real.time.detection.pattern.analysis.and.feedback","name":"real-time-detection-pattern-analysis-and-feedback","description":"Analyzes input text to identify specific AI-detection signatures and provides granular feedback on which linguistic patterns, statistical markers, or structural features are most likely to trigger detection. The system performs feature extraction on input (n-gram distributions, perplexity metrics, vocabulary entropy, sentence length variance, passive voice frequency) and maps these to known detection heuristics, highlighting high-risk passages and suggesting targeted rewrites for maximum evasion efficiency.","intents":["I want to understand which parts of my text are most likely to be flagged as AI-generated","I need specific guidance on what linguistic patterns to change to avoid detection","I want to know which detection systems are most sensitive to my text's characteristics","I need to manually refine text with awareness of detection signatures"],"best_for":["users who want to understand detection mechanisms rather than blindly rewrite","content creators building custom rewriting strategies","individuals testing detection system robustness and limitations"],"limitations":["Feedback accuracy depends on reverse-engineered detection heuristics; actual detection systems may use different or proprietary features","Highlighting high-risk passages may not correlate with actual detection thresholds—some flagged passages may not trigger detection","No explanation of why specific patterns are flagged; feedback is pattern-based rather than interpretable","Detection signatures evolve; historical pattern analysis may not reflect current detection system behavior","Requires technical literacy to interpret feature extraction results; non-technical users may find feedback opaque"],"requires":["Plain text input with sufficient length (200+ words recommended for reliable feature extraction)","Internet connection to access pattern analysis models","Basic understanding of linguistic and statistical features"],"input_types":["plain text","markdown"],"output_types":["annotated text with flagged passages","feature extraction report (n-gram frequencies, perplexity, entropy metrics)","per-detector risk breakdown","targeted rewrite suggestions"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-bypass__cap_4","uri":"capability://text.generation.language.multi.language.content.rewriting.with.cross.lingual.evasion","name":"multi-language-content-rewriting-with-cross-lingual-evasion","description":"Extends paraphrasing and detection evasion to non-English languages, applying language-specific obfuscation patterns that account for grammatical structures, morphological variations, and detection heuristics tuned to each language. The system detects input language, applies language-specific synonym substitution, grammatical restructuring, and statistical pattern shifting, then verifies evasion against language-specific detection models (where available for major languages like Spanish, French, German, Chinese).","intents":["I need to rewrite AI-generated content in languages other than English","I want to evade detection systems in non-English academic contexts","I need to process multilingual content with consistent obfuscation patterns","I want to understand detection vulnerabilities in non-English AI text"],"best_for":["international students submitting work in non-English languages","content creators managing multilingual AI-generated material","organizations operating in non-English-speaking regions"],"limitations":["Language support is limited; only major languages (Spanish, French, German, Chinese, Japanese) likely supported; minor languages unsupported","Detection systems for non-English languages are less mature than English systems; evasion effectiveness varies significantly by language","Cross-lingual detection (e.g., content originally generated in English then translated) is not addressed; may still trigger detection","Grammatical accuracy in rewritten non-English text is often lower than English due to less mature NLP models for minority languages","Language detection errors may cause incorrect obfuscation patterns to be applied, degrading output quality"],"requires":["Plain text input in supported language","Language detection or explicit language specification","Subscription tier supporting multilingual features"],"input_types":["plain text in supported languages (Spanish, French, German, Chinese, Japanese, etc.)","markdown with language specification"],"output_types":["rewritten text in same language","language-specific detection risk scores","per-language feature analysis"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["Plain text input (no binary formats)","Internet connection for cloud-based rewriting pipeline","Active subscription or API key for service access","Rewritten text output from the paraphrasing engine","Internet connection to query detection APIs or access scoring models","Active subscription tier that includes verification features","Multiple plain text documents or passages","Batch upload interface or API endpoint access","Subscription tier supporting batch operations","Plain text input with sufficient length (200+ words recommended for reliable feature extraction)"],"failure_modes":["Rewritten output often exhibits awkward phrasing, unnatural transitions, or semantic drift that trained human reviewers can identify","No guarantee of evasion—detection systems continuously evolve and may adapt to counter-paraphrasing patterns","Operates in legal gray area; 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