{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_betterprompt","slug":"betterprompt","name":"BetterPrompt","type":"webapp","url":"https://better.avatarprompt.net","page_url":"https://unfragile.ai/betterprompt","categories":["prompt-engineering"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_betterprompt__cap_0","uri":"capability://text.generation.language.interactive.prompt.refinement.with.real.time.feedback","name":"interactive prompt refinement with real-time feedback","description":"Analyzes user-submitted prompts against a set of prompt quality heuristics (clarity, specificity, structure, context provision) and provides iterative suggestions for improvement. The system likely employs pattern matching against known high-performing prompt templates and linguistic analysis to identify ambiguities, missing constraints, or role-definition gaps. Users can apply suggestions incrementally and see how modifications affect prompt structure without executing against a live LLM.","intents":["I want to understand why my prompts aren't producing good outputs and get concrete suggestions to fix them","I need to quickly iterate on a prompt without burning API credits testing variations","I want to learn prompt engineering best practices by seeing how the tool restructures my inputs"],"best_for":["AI power users and content creators using ChatGPT/Claude regularly but without formal prompt engineering training","Teams onboarding non-technical staff to AI tools who need faster time-to-competence on prompt quality"],"limitations":["Heuristic-based feedback may not capture domain-specific prompt requirements (e.g., code generation vs. creative writing have different optimal structures)","No A/B testing against actual LLM outputs — improvements are theoretical until validated in production","Likely lacks multi-language prompt optimization beyond English"],"requires":["Web browser with JavaScript enabled","Text input capability (copy-paste or direct typing)"],"input_types":["plain text prompts","structured prompt templates"],"output_types":["annotated prompt with inline suggestions","refined prompt text","quality score or diagnostic report"],"categories":["text-generation-language","prompt-engineering"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_betterprompt__cap_1","uri":"capability://text.generation.language.prompt.template.library.and.composition","name":"prompt template library and composition","description":"Provides a curated or user-generated library of prompt templates organized by use case (content creation, coding, analysis, etc.) that users can browse, customize, and combine. The system likely supports variable substitution (e.g., {{topic}}, {{tone}}) and chaining multiple templates together to build complex multi-step prompts. Templates may include metadata tags for discoverability and performance metrics if the platform tracks user outcomes.","intents":["I want a starting point for common tasks instead of writing prompts from scratch","I need to standardize prompts across my team so outputs are consistent","I want to see examples of well-structured prompts for my specific use case"],"best_for":["Content teams and agencies running repetitive prompt workflows","Individuals new to prompt engineering who benefit from learning by example","Organizations building internal prompt standards and governance"],"limitations":["Template quality depends on curation — no guarantee templates are optimized for all LLM providers or models","Variable substitution may be simplistic (string replacement) rather than semantic-aware, limiting flexibility for complex use cases","No version control or rollback if a template is modified and breaks downstream workflows"],"requires":["Web browser access to template library","Account creation (likely required for freemium tier)"],"input_types":["template selection from UI","variable values (text fields)","optional: custom template upload"],"output_types":["instantiated prompt text","template metadata (tags, description, performance notes)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_betterprompt__cap_2","uri":"capability://data.processing.analysis.prompt.performance.analytics.and.comparison","name":"prompt performance analytics and comparison","description":"Tracks metrics on how refined prompts perform relative to original versions, potentially integrating with LLM APIs (OpenAI, Anthropic) to execute both versions and compare outputs on dimensions like relevance, length, tone consistency, or task completion. The system may use automated scoring (BLEU, semantic similarity) or collect user feedback (thumbs up/down) to build a performance dataset. Results are visualized to show which prompt variations yield better outcomes.","intents":["I want to validate that my prompt improvements actually work before deploying them","I need data on which prompt variations perform best for my specific use case","I want to understand the ROI of prompt engineering effort in terms of output quality"],"best_for":["Data-driven teams running high-volume prompt workflows where small quality improvements compound","Researchers studying prompt engineering effectiveness","Organizations optimizing for cost-per-quality-output across LLM providers"],"limitations":["Requires API keys for LLM providers — adds cost and latency for each comparison run","Automated scoring metrics (BLEU, similarity) may not correlate with actual user satisfaction for subjective tasks","Sample size effects — single-run comparisons are statistically unreliable; proper A/B testing requires multiple iterations","No built-in statistical significance testing — users may draw false conclusions from small differences"],"requires":["API keys for at least one LLM provider (OpenAI, Anthropic, etc.)","Budget for LLM API calls (each comparison run incurs costs)","Account with BetterPrompt to store comparison history"],"input_types":["original prompt text","refined prompt text","optional: test input/context","optional: success criteria or rubric"],"output_types":["side-by-side output comparison","performance metrics (numeric scores, charts)","statistical summary (if multiple runs)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_betterprompt__cap_3","uri":"capability://text.generation.language.multi.provider.prompt.adaptation","name":"multi-provider prompt adaptation","description":"Automatically adjusts prompts to match the syntax, instruction format, and behavioral quirks of different LLM providers (OpenAI, Anthropic, Ollama, etc.). The system maintains provider-specific prompt templates and transformation rules (e.g., Claude prefers XML tags, GPT-4 responds better to numbered lists) and applies them transparently. Users write once; the tool generates optimized variants for each target provider without manual rewriting.","intents":["I use multiple LLM providers and want consistent behavior without rewriting prompts for each","I want to test the same prompt across different models to find the best fit","I need to migrate prompts from one provider to another without losing effectiveness"],"best_for":["Teams evaluating multiple LLM providers and comparing outputs","Organizations with multi-vendor LLM strategies to reduce lock-in","Developers building LLM applications that need provider abstraction"],"limitations":["Adaptation rules are heuristic-based and may not capture all provider-specific nuances or recent model updates","No guarantee that adapted prompts maintain semantic equivalence across providers — some tasks may require fundamentally different approaches","Requires manual testing to validate that adaptations work as expected for each provider"],"requires":["API keys for target LLM providers (if testing adapted prompts)","Knowledge of which providers to target"],"input_types":["prompt text (provider-agnostic)","list of target providers"],"output_types":["provider-specific prompt variants","adaptation notes (what changed and why)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_betterprompt__cap_4","uri":"capability://automation.workflow.prompt.versioning.and.collaboration","name":"prompt versioning and collaboration","description":"Maintains a version history of prompt iterations with timestamps, author attribution, and change diffs, enabling teams to track how prompts evolve and revert to previous versions if needed. The system likely supports commenting on specific versions, tagging releases (e.g., 'production-v1.2'), and sharing prompts with team members for feedback. Collaboration features may include role-based access control (view-only, edit, admin) and audit logs for compliance.","intents":["I want to track who changed a prompt and why, for accountability and learning","I need to revert a prompt change that degraded output quality","I want my team to review and approve prompt changes before they go live"],"best_for":["Teams managing shared prompt libraries with multiple contributors","Organizations with compliance or audit requirements around AI system changes","Enterprises running production LLM applications where prompt stability is critical"],"limitations":["Version control is likely simplified compared to Git — no branching, merging, or conflict resolution for concurrent edits","Audit logs may not capture why a change was made (requires manual documentation)","No integration with external version control systems (Git) — prompts are siloed in BetterPrompt"],"requires":["Team account with BetterPrompt","User roles/permissions configured"],"input_types":["prompt text edits","version tags/labels","optional: change comments or rationale"],"output_types":["version history timeline","diff view (old vs. new)","audit log (who changed what, when)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_betterprompt__cap_5","uri":"capability://text.generation.language.prompt.quality.scoring.and.diagnostics","name":"prompt quality scoring and diagnostics","description":"Assigns a quality score to prompts based on measurable criteria: specificity (presence of concrete examples or constraints), clarity (sentence structure, jargon usage), completeness (all necessary context provided), and structure (logical flow, role definition). The system generates a diagnostic report highlighting weak areas (e.g., 'missing success criteria', 'ambiguous pronouns') with actionable recommendations. Scoring may be rule-based or LLM-powered.","intents":["I want a quick quality check before sending a prompt to an LLM","I need to understand what's wrong with my prompt in concrete terms","I want to benchmark my prompts against best practices"],"best_for":["Individual users learning prompt engineering through immediate feedback","Teams establishing prompt quality standards and training new members","QA processes for production prompt management"],"limitations":["Quality scores are heuristic-based and may not reflect actual LLM performance — a 'low quality' prompt might work fine for simple tasks","Scoring criteria are generic and don't account for task-specific requirements (e.g., creative writing vs. code generation have different quality dimensions)","No feedback loop — the tool doesn't learn from user outcomes to improve scoring accuracy"],"requires":["Web browser access to BetterPrompt","Prompt text to analyze"],"input_types":["plain text prompt"],"output_types":["numeric quality score (likely 0-100 or similar)","diagnostic report with specific issues and suggestions","optional: comparison to template or best-practice baseline"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_betterprompt__cap_6","uri":"capability://tool.use.integration.prompt.export.and.integration.with.llm.platforms","name":"prompt export and integration with llm platforms","description":"Exports refined prompts in formats compatible with popular LLM interfaces and APIs (OpenAI Chat Completions, Anthropic Messages, LangChain, LlamaIndex). The system may support direct API calls from BetterPrompt to execute prompts without leaving the platform, or generate code snippets (Python, JavaScript) that developers can copy into their applications. Integration points may include webhook support for triggering prompt execution on external events.","intents":["I want to use my refined prompt in ChatGPT, Claude, or my own application without manual copying","I need code to integrate a BetterPrompt-optimized prompt into my LLM application","I want to automate prompt execution as part of a larger workflow"],"best_for":["Developers building LLM applications who want a prompt management layer","Non-technical users who want to use refined prompts in ChatGPT or Claude without coding","Teams automating prompt-based workflows (e.g., content generation pipelines)"],"limitations":["Export formats may lag behind new LLM provider APIs — support for cutting-edge features may be delayed","Code generation is likely template-based and may require manual adjustment for complex use cases","No built-in error handling or retry logic — developers must implement robustness themselves"],"requires":["BetterPrompt account with saved prompts","API keys for target LLM providers (if executing directly)","Developer environment (Python, Node.js, etc.) for code snippet integration"],"input_types":["refined prompt from BetterPrompt","target platform/format selection","optional: execution parameters (temperature, max tokens, etc.)"],"output_types":["formatted prompt text (JSON, markdown, plain text)","code snippet (Python, JavaScript, cURL)","direct API response (if executing from BetterPrompt)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Web browser with JavaScript enabled","Text input capability (copy-paste or direct typing)","Web browser access to template library","Account creation (likely required for freemium tier)","API keys for at least one LLM provider (OpenAI, Anthropic, etc.)","Budget for LLM API calls (each comparison run incurs costs)","Account with BetterPrompt to store comparison history","API keys for target LLM providers (if testing adapted prompts)","Knowledge of which providers to target","Team account with BetterPrompt"],"failure_modes":["Heuristic-based feedback may not capture domain-specific prompt requirements (e.g., code generation vs. creative writing have different optimal structures)","No A/B testing against actual LLM outputs — improvements are theoretical until validated in production","Likely lacks multi-language prompt optimization beyond English","Template quality depends on curation — no guarantee templates are optimized for all LLM providers or models","Variable substitution may be simplistic (string replacement) rather than semantic-aware, limiting flexibility for complex use cases","No version control or rollback if a template is modified and breaks downstream workflows","Requires API keys for LLM providers — adds cost and latency for each comparison run","Automated scoring metrics (BLEU, similarity) may not correlate with actual user satisfaction for subjective tasks","Sample size effects — single-run comparisons are statistically unreliable; proper A/B testing requires multiple iterations","No built-in statistical significance testing — users may draw false conclusions from small differences","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:29.714Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=betterprompt","compare_url":"https://unfragile.ai/compare?artifact=betterprompt"}},"signature":"FpJFQ3TZCsCdAw4xaXU97F8RWBGRrhRwIEvLR+2NoKPa1z6nJt3lOmgtnxc99KtI5SM+KrjBmY2jEBnNEedDDQ==","signedAt":"2026-06-21T07:21:21.615Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/betterprompt","artifact":"https://unfragile.ai/betterprompt","verify":"https://unfragile.ai/api/v1/verify?slug=betterprompt","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"}}