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The system flags tone shifts, detects clichéd phrasing common in college essays, and suggests adjustments that maintain the student's authentic voice while improving clarity and impact.","intents":["I want to know if my essay sounds like me or like an AI wrote it","I need feedback on whether my tone matches the prompt's emotional register","I want to avoid clichés and generic phrases that admissions officers see constantly"],"best_for":["Students concerned about authenticity and plagiarism detection flags","Writers seeking to strengthen their unique voice without outsourcing composition","Students who want iterative feedback during the drafting process"],"limitations":["Tone detection is probabilistic and may produce false positives for intentionally formal or experimental voices","Training data bias toward successful essays from well-resourced schools may penalize non-standard narrative styles","Cannot distinguish between student-written and AI-assisted text with 100% accuracy — relies on statistical patterns"],"requires":["Essay text (minimum ~100 words for meaningful tone analysis)","Optional: genre/prompt context to calibrate tone expectations","Real-time or batch processing capability (API or web interface)"],"input_types":["plain text essay or essay excerpt","optional: prompt type for tone baseline calibration"],"output_types":["tone score (authenticity, formality, persuasiveness metrics)","highlighted phrases flagged as clichéd or over-polished","natural language suggestions for voice strengthening","comparative analysis against successful essay corpus"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_2","uri":"capability://text.generation.language.narrative.clarity.and.structure.feedback","name":"narrative clarity and structure feedback","description":"Analyzes essay structure, logical flow, and narrative coherence using document-level NLP models that map argument progression, identify unsupported claims, and detect gaps in storytelling logic. The system provides visual or textual feedback on how ideas connect, whether the narrative arc is clear, and where transitions or elaboration are needed to improve reader comprehension without rewriting the student's content.","intents":["I need to know if my essay's ideas flow logically from one paragraph to the next","I want to identify where my argument has gaps or unsupported claims","I need help structuring my narrative so admissions officers understand my story"],"best_for":["Students with strong ideas but weak organizational skills","Writers seeking structural feedback without content generation","Students revising drafts to improve clarity before submission"],"limitations":["Cannot assess whether narrative is compelling or emotionally resonant — only structural clarity","Feedback on 'missing' elements is suggestive, not prescriptive; student must decide what to add","Works best on essays with clear thesis statements; highly experimental or non-linear narratives may confuse the model"],"requires":["Complete or near-complete essay draft (minimum 200 words)","Clear paragraph structure (model expects standard essay format)"],"input_types":["plain text essay with paragraph breaks","optional: essay outline or thesis statement for context"],"output_types":["structural analysis highlighting argument progression","identified gaps or unsupported claims with line references","transition suggestions between paragraphs","visual outline or flow diagram of essay logic"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_3","uri":"capability://data.processing.analysis.institutional.requirement.matching.and.compliance.checking","name":"institutional requirement matching and compliance checking","description":"Cross-references essay content against known institutional values, mission statements, and application requirements (word count, format, required elements) using a database of college-specific criteria. The system validates that essays meet hard requirements (length, format) and provides guidance on soft requirements (alignment with institutional values, demonstration of specific competencies the college seeks).","intents":["I need to make sure my essay meets all of this college's specific requirements","I want to know if my essay demonstrates the qualities this institution values","I need to check that my essay is the right length and format for this application"],"best_for":["Students applying to multiple institutions with varying requirements","Students applying to schools with custom or unusual essay prompts","Students seeking to tailor essays to specific institutional values"],"limitations":["Institutional database requires manual curation and annual updates — new schools or requirement changes may not be reflected immediately","Cannot assess subjective institutional fit beyond stated mission statements","Soft requirement matching (values alignment) is probabilistic and may miss nuanced institutional culture"],"requires":["Essay text","Target institution name or list of institutions","Access to institutional database (requires platform subscription or API key)"],"input_types":["plain text essay","institution name or list","optional: application deadline for requirement version matching"],"output_types":["compliance checklist (hard requirements met/unmet)","institutional values alignment score","specific suggestions for demonstrating institutional fit","warnings for requirement violations"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_4","uri":"capability://data.processing.analysis.comparative.essay.benchmarking.against.corpus","name":"comparative essay benchmarking against corpus","description":"Compares student essays against an anonymized corpus of successful college essays (with student consent and privacy protections) to provide percentile-based feedback on clarity, persuasiveness, narrative strength, and other dimensions. The system uses statistical analysis to show how the student's essay compares to accepted essays from similar demographics or target institutions, without revealing specific examples that could encourage imitation.","intents":["I want to know how my essay compares to other successful essays","I need to understand what makes successful college essays different from mine","I want percentile feedback on my essay's competitiveness"],"best_for":["Students seeking objective, data-driven feedback on essay quality","Competitive applicants targeting highly selective institutions","Students who want to understand their essay's relative strengths and weaknesses"],"limitations":["Corpus bias toward essays from well-resourced schools and certain demographics — may not represent diversity of successful essays","Percentile scores are relative to corpus, not predictive of admissions outcomes","Privacy concerns require anonymization and consent — corpus size and diversity may be limited","Benchmarking can discourage authentic voice if students over-optimize toward corpus patterns"],"requires":["Essay text (minimum 250 words for meaningful comparison)","Optional: target institution or demographic for filtered benchmarking","Access to essay corpus (requires platform subscription)"],"input_types":["plain text essay","optional: target institution, intended major, demographic info for filtered comparison"],"output_types":["percentile scores across multiple dimensions (clarity, persuasiveness, narrative strength, etc.)","comparative analysis highlighting relative strengths and weaknesses","statistical summary of how essay compares to corpus median","anonymized insights about successful essays in similar category"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_5","uri":"capability://text.generation.language.iterative.revision.guidance.with.change.tracking","name":"iterative revision guidance with change tracking","description":"Tracks changes across essay revisions and provides targeted feedback on how edits improve or worsen specific dimensions (clarity, tone, persuasiveness, prompt alignment). The system maintains revision history and can highlight which changes were most impactful, helping students understand what types of edits move the needle on essay quality and encouraging deliberate revision rather than random polishing.","intents":["I want to know if my edits are actually improving my essay","I need guidance on what to focus on in my next revision","I want to track how my essay evolves and what changes matter most"],"best_for":["Students in active revision cycles who want feedback on incremental changes","Writers seeking to understand which edits have the highest impact","Students working with multiple drafts over weeks or months"],"limitations":["Requires multiple submissions to build meaningful revision history — limited value for single-draft feedback","Change impact analysis is statistical and may not capture qualitative improvements in voice or authenticity","Revision guidance can become repetitive if student makes similar edits across multiple drafts"],"requires":["Multiple essay submissions (minimum 2 versions for meaningful comparison)","Consistent essay identifier or version tracking","Platform account to maintain revision history"],"input_types":["plain text essay (multiple versions)","optional: revision notes or context about changes made"],"output_types":["revision history with change highlighting","impact analysis showing how each revision affected essay scores","prioritized guidance for next revision cycle","visual diff showing changes between versions"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_6","uri":"capability://text.generation.language.writing.skill.development.and.pattern.recognition","name":"writing skill development and pattern recognition","description":"Identifies recurring writing patterns and skill gaps across a student's essays (if multiple essays are submitted) using longitudinal analysis to detect whether the student is improving in specific areas (sentence variety, vocabulary range, argument structure). The system provides personalized learning recommendations based on identified weaknesses, helping students develop stronger writing skills rather than just fixing individual essays.","intents":["I want to understand my recurring writing weaknesses across multiple essays","I need personalized guidance on which writing skills to develop","I want to track whether I'm improving as a writer over time"],"best_for":["Students writing multiple essays (Common App + supplementals) who want to improve overall writing","Students with several months before application deadline who can work on skill development","Writers seeking to build sustainable writing habits rather than quick fixes"],"limitations":["Requires multiple essay submissions to identify patterns — limited value for students with only one essay","Skill development recommendations are generic writing advice, not college-application-specific coaching","Cannot provide human mentorship or accountability for skill development"],"requires":["Minimum 2-3 essay submissions for meaningful pattern analysis","Platform account to maintain longitudinal writing profile","Several weeks or months for meaningful improvement tracking"],"input_types":["multiple plain text essays","optional: essay type or prompt for contextualized analysis"],"output_types":["writing skill profile identifying strengths and weaknesses","longitudinal improvement tracking across submissions","personalized learning recommendations with resources","skill development roadmap with prioritized focus areas"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_7","uri":"capability://safety.moderation.plagiarism.risk.detection.and.authenticity.scoring","name":"plagiarism risk detection and authenticity scoring","description":"Analyzes essays for markers of AI-generated or non-student-authored content using ensemble detection methods (statistical language patterns, phrase matching against known AI outputs, stylistic inconsistencies) and provides an authenticity score that helps students understand plagiarism risk. The system flags suspicious passages and explains why they may trigger plagiarism detection systems, helping students revise to reduce false-positive risks from over-polished language.","intents":["I want to know if my essay will trigger plagiarism detection systems","I need to understand which parts of my essay sound too polished or AI-generated","I want to revise my essay to reduce plagiarism risk before submission"],"best_for":["Students concerned about plagiarism detection false positives from AI-assisted editing","Students who used AI tools during drafting and want to ensure authenticity","Students seeking to understand what triggers plagiarism systems"],"limitations":["Plagiarism detection is probabilistic — cannot guarantee essays will pass institutional plagiarism checks","False positives possible for legitimate formal writing or technical vocabulary","Detection methods may become outdated as AI generation techniques evolve","Cannot detect plagiarism from human sources or unauthorized human editing"],"requires":["Essay text (minimum 200 words for meaningful analysis)","Understanding that detection is probabilistic, not definitive"],"input_types":["plain text essay"],"output_types":["authenticity score (0-100)","flagged passages with risk assessment","explanation of why flagged passages are suspicious","revision suggestions to reduce plagiarism risk","comparison against known AI output patterns"],"categories":["safety-moderation","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_es-ai__cap_8","uri":"capability://text.generation.language.supplemental.essay.prompt.analysis.and.strategy","name":"supplemental essay prompt analysis and strategy","description":"Analyzes supplemental essay prompts from specific institutions to identify what the college is actually asking for (beyond literal prompt text) using prompt decoding models trained on successful supplemental essays. The system provides strategic guidance on how to approach each prompt, what evidence or examples work best, and how to differentiate responses across multiple supplemental essays for the same institution.","intents":["I need to understand what this college is really asking for in this supplemental prompt","I want strategy for how to approach this supplemental essay differently from my Common App essay","I need to know what types of examples or evidence work best for this prompt"],"best_for":["Students applying to highly selective institutions with multiple supplemental essays","Students seeking strategic guidance on prompt interpretation beyond literal reading","Students writing supplementals for schools with vague or open-ended prompts"],"limitations":["Prompt strategy is based on historical successful essays — may not apply to newly-released or unusual prompts","Cannot provide institutional knowledge about specific admissions priorities or recent changes in what colleges seek","Strategy guidance is generic; cannot account for student's unique background or circumstances"],"requires":["Supplemental prompt text","Target institution name for context","Access to prompt strategy database"],"input_types":["supplemental essay prompt text","institution name","optional: student's Common App essay for differentiation analysis"],"output_types":["prompt interpretation and strategic analysis","guidance on what the college is seeking beyond literal prompt","evidence and example types that work well for this prompt","differentiation strategy if student is writing multiple supplementals for same institution","comparison to similar prompts from other institutions"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Essay text input (typically 250-650 words for Common App)","Prompt selection or paste from supported prompt library","Internet connection for real-time prompt database access","Essay text (minimum ~100 words for meaningful tone analysis)","Optional: genre/prompt context to calibrate tone expectations","Real-time or batch processing capability (API or web interface)","Complete or near-complete essay draft (minimum 200 words)","Clear paragraph structure (model expects standard essay format)","Essay text","Target institution name or list of institutions"],"failure_modes":["Prompt database requires continuous updates as colleges change essay questions annually","Cannot assess institutional fit or strategic positioning beyond prompt adherence","Feedback accuracy depends on prompt metadata completeness — custom or newly-released prompts may not be recognized","Tone detection is probabilistic and may produce false positives for intentionally formal or experimental voices","Training data bias toward successful essays from well-resourced schools may penalize non-standard narrative styles","Cannot distinguish between student-written and AI-assisted text with 100% accuracy — relies on statistical patterns","Cannot assess whether narrative is compelling or emotionally resonant — only structural clarity","Feedback on 'missing' elements is suggestive, not prescriptive; student must decide what to add","Works best on essays with clear thesis statements; highly experimental or non-linear narratives may confuse the model","Institutional database requires manual curation and annual updates — new schools or requirement changes may not be reflected immediately","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.2,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.284Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=es-ai","compare_url":"https://unfragile.ai/compare?artifact=es-ai"}},"signature":"YK+yfaLT4cnUEdoW8GEMeIBJ9jzApeeEAE8BmEfOrBnD7ijV70H40Ouvd8lEdmE2KqLO5rAho3/CpV6FYNgLAA==","signedAt":"2026-06-22T05:30:42.457Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/es-ai","artifact":"https://unfragile.ai/es-ai","verify":"https://unfragile.ai/api/v1/verify?slug=es-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}