{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_promptitude-io","slug":"promptitude-io","name":"Promptitude.io","type":"product","url":"https://promptitude.io","page_url":"https://unfragile.ai/promptitude-io","categories":["app-builders","automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_promptitude-io__cap_0","uri":"capability://memory.knowledge.centralized.prompt.library.with.version.control.and.collaborative.editing","name":"centralized prompt library with version control and collaborative editing","description":"Maintains a shared repository of AI prompts with Git-like version history, branching, and rollback capabilities. Teams can store, organize, and iterate on prompts collaboratively without losing previous iterations or institutional knowledge. The system tracks changes, enables commenting on prompt versions, and prevents accidental overwrites through conflict resolution mechanisms similar to code version control systems.","intents":["I need my team to stop duplicating prompts and maintain a single source of truth for our AI interactions","I want to track who changed a prompt and when, and be able to revert to a previous version if performance degrades","I need non-technical team members to safely edit prompts without breaking existing workflows"],"best_for":["marketing and content teams with 3+ people collaborating on AI-driven content","enterprises standardizing AI usage across departments","teams iterating rapidly on prompt performance and needing audit trails"],"limitations":["Version control is limited to prompt text and metadata — does not track model parameter changes or output history","Branching and merging workflows may be less sophisticated than Git, potentially causing friction for teams with complex prompt evolution strategies","No built-in A/B testing framework to compare prompt versions' actual performance metrics"],"requires":["Team account with Promptitude.io","Minimum 2 team members for collaborative features to be useful"],"input_types":["text (prompt content)","metadata (tags, categories, model parameters)"],"output_types":["structured prompt object with version metadata","change log with timestamps and user attribution"],"categories":["memory-knowledge","collaboration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_1","uri":"capability://tool.use.integration.workflow.integration.via.slack.zapier.and.third.party.apis","name":"workflow integration via slack, zapier, and third-party apis","description":"Connects Promptitude prompts directly into existing productivity tools through pre-built integrations and webhook-based orchestration. Users can trigger prompts from Slack messages, route outputs to Zapier workflows, or invoke prompts via REST API without custom backend development. The system handles authentication, payload transformation, and response formatting for each integration target.","intents":["I want my team to run AI prompts directly from Slack without leaving the chat interface","I need to automate content generation workflows that feed into our CMS or email platform via Zapier","I want to expose our standardized prompts as HTTP endpoints for custom applications"],"best_for":["non-technical marketing teams using Slack as their primary workspace","teams already invested in Zapier automation seeking to add AI capabilities","small-to-medium businesses avoiding custom API development"],"limitations":["Pre-built integrations are limited to popular platforms (Slack, Zapier, etc.) — custom integrations require REST API knowledge","Webhook latency adds 500ms-2s per invocation depending on model response time and integration overhead","No built-in request queuing or rate limiting — high-volume workflows may hit API throttles","Payload size limits may constrain context length for complex prompts"],"requires":["Active Promptitude.io account","Slack workspace admin access (for Slack integration)","Zapier account with paid plan (for advanced automation)","API key from Promptitude.io for direct REST API calls"],"input_types":["text (Slack messages, form inputs)","structured data (JSON payloads via Zapier)"],"output_types":["text (Slack messages, email content)","structured data (JSON for downstream tools)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_2","uri":"capability://text.generation.language.prompt.templating.with.variable.substitution.and.dynamic.context.injection","name":"prompt templating with variable substitution and dynamic context injection","description":"Supports parameterized prompts using template syntax (e.g., {{variable_name}}) that accept runtime inputs and inject them into prompt text before execution. The system handles variable scoping, default values, type coercion, and conditional text blocks. This enables a single prompt template to serve multiple use cases by varying inputs without duplicating prompt logic.","intents":["I want to create a single email-writing prompt that adapts to different product categories and tones","I need to inject user context (name, company, history) into prompts dynamically at runtime","I want to build reusable prompt templates that my team can use without understanding the underlying logic"],"best_for":["content teams generating variations of similar outputs (emails, social posts, product descriptions)","customer-facing applications needing personalized AI responses","teams building prompt libraries for non-technical users"],"limitations":["Template syntax is proprietary to Promptitude — not compatible with Jinja2, Handlebars, or other standard templating languages","No built-in conditional logic beyond simple if/else blocks — complex branching requires multiple prompt variants","Variable validation is basic — no schema enforcement or type checking before execution","Large context injection (e.g., full customer history) may exceed token limits and cause failures"],"requires":["Promptitude.io account","Understanding of template syntax (minimal learning curve)"],"input_types":["text (template with {{variable}} placeholders)","JSON object (runtime variables)"],"output_types":["text (rendered prompt with variables substituted)","AI model output (text, structured data)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_3","uri":"capability://tool.use.integration.multi.model.prompt.execution.with.provider.abstraction","name":"multi-model prompt execution with provider abstraction","description":"Abstracts away differences between AI model providers (OpenAI, Anthropic, Cohere, etc.) by normalizing prompt submission and response parsing across APIs. Users select a model and provider at execution time; the system handles authentication, request formatting, and response transformation without requiring code changes. This enables switching models or A/B testing different providers without modifying prompts.","intents":["I want to test the same prompt against GPT-4, Claude, and Cohere to compare quality and cost","I need to switch from OpenAI to a cheaper provider without rewriting all my prompts","I want to route different prompts to different models based on complexity or cost constraints"],"best_for":["teams evaluating multiple AI providers and seeking flexibility","cost-conscious organizations wanting to optimize model selection per use case","enterprises with multi-vendor AI strategies"],"limitations":["Model-specific features (e.g., vision, function calling, structured output) are not uniformly abstracted — advanced features may require provider-specific configuration","Response format normalization may lose nuance in model-specific metadata (e.g., token usage, finish reasons)","Latency varies significantly by provider — no built-in optimization for response time","API keys for all providers must be stored in Promptitude, creating a centralized credential management risk"],"requires":["Promptitude.io account","API keys for at least one AI provider (OpenAI, Anthropic, Cohere, etc.)","Understanding of model capabilities and pricing differences"],"input_types":["text (prompt content)","model selection (provider and model name)"],"output_types":["text (model response)","structured metadata (tokens used, model, provider)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_4","uri":"capability://data.processing.analysis.prompt.performance.monitoring.and.usage.analytics","name":"prompt performance monitoring and usage analytics","description":"Tracks execution metrics for each prompt invocation including latency, token usage, cost, and model selection. Aggregates data into dashboards showing usage trends, cost breakdown by prompt or team member, and performance comparisons across model variants. Enables data-driven decisions about prompt optimization and provider selection.","intents":["I need to understand which prompts are consuming the most tokens and costing the most","I want to see if switching to a cheaper model degraded output quality or increased latency","I need to report AI spending to finance and justify continued investment"],"best_for":["teams with significant AI spending seeking cost optimization","enterprises requiring usage reporting and chargeback models","data-driven teams iterating on prompt performance"],"limitations":["Analytics are limited to execution metrics — no quality scoring or user satisfaction tracking","Historical data retention period is unknown — may have limits on how far back you can query","No built-in cost forecasting or budget alerts","Granularity of metrics depends on provider — some providers return less detailed token breakdowns"],"requires":["Promptitude.io account with analytics enabled","Active prompt executions to generate data"],"input_types":["prompt execution events (automatic collection)"],"output_types":["dashboards (usage, cost, latency)","CSV/JSON exports (for external analysis)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_5","uri":"capability://search.retrieval.prompt.discovery.and.search.across.team.library","name":"prompt discovery and search across team library","description":"Indexes prompts by content, tags, and metadata, enabling full-text search and filtering across the team's prompt library. Users can search by intent (e.g., 'email writing'), model type, or recent usage. The system returns ranked results with preview snippets and usage statistics, reducing time spent hunting for existing prompts.","intents":["I need to find an existing email-writing prompt instead of creating a new one from scratch","I want to see which prompts are most frequently used by my team","I need to find all prompts tagged with 'customer-facing' to audit them for tone"],"best_for":["teams with large prompt libraries (50+ prompts) where discovery becomes a pain point","organizations enforcing prompt governance and needing to audit content","distributed teams where institutional knowledge of available prompts is low"],"limitations":["Search is keyword-based — no semantic search using embeddings to find conceptually similar prompts","Filtering options are limited to tags and metadata — no advanced query syntax","Search results do not include performance metrics or quality scores to help prioritize","No recommendation engine to suggest prompts based on user behavior"],"requires":["Promptitude.io account with populated prompt library"],"input_types":["search query (text)","filters (tags, model type, date range)"],"output_types":["ranked list of prompts with metadata","preview snippets"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_6","uri":"capability://safety.moderation.role.based.access.control.and.team.permission.management","name":"role-based access control and team permission management","description":"Enforces granular permissions on prompts and workflows at the team level, supporting roles like viewer, editor, and admin. Admins can restrict who can execute, edit, or delete prompts, and can audit access logs. This enables organizations to enforce governance policies (e.g., only marketing can edit customer-facing prompts) without blocking collaboration.","intents":["I need to prevent junior team members from editing critical prompts without approval","I want to audit who accessed or modified sensitive prompts for compliance","I need to give contractors read-only access to our prompt library without granting edit rights"],"best_for":["enterprises with compliance requirements or sensitive use cases","teams with clear role hierarchies (e.g., junior vs. senior content creators)","organizations managing multiple teams or departments"],"limitations":["Permission granularity is limited to prompt-level or team-level — no field-level or variable-level restrictions","No time-based access (e.g., temporary contractor access that expires)","Audit logs may have retention limits or require export for long-term compliance storage","No integration with enterprise SSO or SAML — relies on Promptitude's own user management"],"requires":["Promptitude.io team account","Admin privileges to configure roles and permissions"],"input_types":["user role assignment (admin, editor, viewer)","prompt access control rules"],"output_types":["access control enforcement","audit logs with user actions and timestamps"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_7","uri":"capability://planning.reasoning.prompt.testing.and.evaluation.framework","name":"prompt testing and evaluation framework","description":"Enables users to define test cases for prompts with expected outputs, then run batch evaluations to measure consistency and quality. The system can execute a prompt against multiple test inputs and compare results against baselines or custom scoring criteria. This supports iterative prompt refinement with measurable feedback.","intents":["I want to test a new prompt variant against 50 test cases to ensure it doesn't regress","I need to measure if my prompt improvements actually increased output quality","I want to catch breaking changes before deploying a new prompt version to production"],"best_for":["teams with mature prompt engineering practices and quality standards","organizations running high-volume AI workflows where consistency matters","data-driven teams iterating rapidly on prompt performance"],"limitations":["Evaluation metrics are limited to basic string matching or custom scoring functions — no built-in semantic similarity or LLM-as-judge evaluation","Test case management is manual — no automated test generation or coverage analysis","Batch evaluation can be slow for large test suites (100+ cases) due to sequential API calls","No integration with CI/CD pipelines for automated testing on prompt changes"],"requires":["Promptitude.io account","Manually created test cases with expected outputs"],"input_types":["test cases (input/expected output pairs)","evaluation criteria (custom scoring rules)"],"output_types":["test results (pass/fail, score)","comparison reports (baseline vs. new variant)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_8","uri":"capability://automation.workflow.prompt.deployment.and.environment.management","name":"prompt deployment and environment management","description":"Supports deploying prompts across multiple environments (development, staging, production) with environment-specific configurations (e.g., different models, temperature settings, or API keys per environment). Users can promote prompts through environments with approval workflows, and rollback to previous versions if issues arise.","intents":["I want to test a new prompt in staging before deploying it to production","I need to use a cheaper model in development but GPT-4 in production","I want to require approval before a prompt change goes live"],"best_for":["teams with formal release processes and change management requirements","organizations running production AI workflows with uptime expectations","enterprises needing separation of concerns between dev and prod"],"limitations":["Environment management is prompt-centric — no support for managing entire workflows or dependent prompts as a unit","Approval workflows are basic — no integration with external change management systems (Jira, ServiceNow)","Rollback is limited to prompt text — does not roll back associated configurations or integrations","No built-in canary deployments or gradual rollout strategies"],"requires":["Promptitude.io account","Multiple environments configured (dev, staging, prod)"],"input_types":["prompt version","environment-specific configuration (model, parameters)"],"output_types":["deployed prompt in target environment","deployment history and rollback capability"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptitude-io__cap_9","uri":"capability://automation.workflow.batch.prompt.execution.and.scheduled.workflows","name":"batch prompt execution and scheduled workflows","description":"Allows users to execute prompts in batch mode against large datasets (e.g., 1000 customer emails) or schedule prompts to run on a recurring basis (daily, weekly). The system queues jobs, manages execution order, and handles failures with retry logic. Results are aggregated and can be exported or piped to downstream systems.","intents":["I want to generate personalized emails for 5000 customers overnight without manual intervention","I need to run a daily summary prompt on yesterday's data and email the results to my team","I want to process a CSV of product descriptions through a prompt and export the results"],"best_for":["marketing and content teams processing large datasets through AI","teams automating recurring AI tasks (daily reports, weekly summaries)","organizations with batch processing workflows (ETL, data enrichment)"],"limitations":["Batch execution is sequential or limited parallelism — may be slow for very large datasets (10k+ items)","No built-in error recovery beyond basic retries — failed items may require manual reprocessing","Scheduling is limited to fixed intervals — no cron-like syntax for complex schedules","Results storage is temporary — no built-in persistence beyond export; requires external storage for long-term retention","Cost can escalate quickly with large batches — no built-in cost controls or quotas"],"requires":["Promptitude.io account","CSV or JSON input data","Sufficient API quota for batch size"],"input_types":["CSV/JSON dataset","schedule definition (frequency, time)"],"output_types":["CSV/JSON results","webhook notifications","email delivery"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Team account with Promptitude.io","Minimum 2 team members for collaborative features to be useful","Active Promptitude.io account","Slack workspace admin access (for Slack integration)","Zapier account with paid plan (for advanced automation)","API key from Promptitude.io for direct REST API calls","Promptitude.io account","Understanding of template syntax (minimal learning curve)","API keys for at least one AI provider (OpenAI, Anthropic, Cohere, etc.)","Understanding of model capabilities and pricing differences"],"failure_modes":["Version control is limited to prompt text and metadata — does not track model parameter changes or output history","Branching and merging workflows may be less sophisticated than Git, potentially causing friction for teams with complex prompt evolution strategies","No built-in A/B testing framework to compare prompt versions' actual performance metrics","Pre-built integrations are limited to popular platforms (Slack, Zapier, etc.) — custom integrations require REST API knowledge","Webhook latency adds 500ms-2s per invocation depending on model response time and integration overhead","No built-in request queuing or rate limiting — high-volume workflows may hit API throttles","Payload size limits may constrain context length for complex prompts","Template syntax is proprietary to Promptitude — not compatible with Jinja2, Handlebars, or other standard templating languages","No built-in conditional logic beyond simple if/else blocks — complex branching requires multiple prompt variants","Variable validation is basic — no schema enforcement or type checking before execution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.25,"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":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=promptitude-io","compare_url":"https://unfragile.ai/compare?artifact=promptitude-io"}},"signature":"5/3CMF1XzaEYgI54bluZdfbCIKJt42wVZCs2IX8Yl7jFV6dw4Id7d0+kgRg9mxlvNz17V+Q38jJI9PPJbBK0Bw==","signedAt":"2026-06-22T05:23:09.021Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/promptitude-io","artifact":"https://unfragile.ai/promptitude-io","verify":"https://unfragile.ai/api/v1/verify?slug=promptitude-io","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"}}