{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_promptdrive-ai","slug":"promptdrive-ai","name":"PromptDrive.ai","type":"product","url":"https://promptdrive.ai","page_url":"https://unfragile.ai/promptdrive-ai","categories":["prompt-engineering"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_promptdrive-ai__cap_0","uri":"capability://memory.knowledge.centralized.prompt.storage.and.retrieval.with.full.text.search","name":"centralized prompt storage and retrieval with full-text search","description":"PromptDrive maintains a backend-persisted prompt repository accessible via web application and indexed for full-text search across prompt content, titles, tags, and metadata. Users create prompts through a web form interface, organize them hierarchically via folders and tags, and retrieve them via keyword search without manually scrolling through chat histories or external documents. The search indexing appears to be real-time or near-real-time, enabling rapid discovery of previously saved prompts across potentially hundreds of stored artifacts.","intents":["I need to quickly find a prompt I wrote weeks ago without digging through chat history","I want to organize my prompts by project or use case so I can reuse them efficiently","I need to search across all my prompts by keyword to find similar patterns I've already created"],"best_for":["AI power users managing 50+ prompts across multiple projects","teams with shared prompt libraries requiring centralized discovery","individual users who iterate on prompts and want version-safe storage"],"limitations":["Search functionality scope unknown — unclear if it searches only prompt text or also execution results/metadata","No documented full-text search syntax (wildcards, boolean operators, regex) — likely basic keyword matching only","Maximum prompt library size per user/team unknown — potential performance degradation at scale","Search latency not documented — could be problematic for teams with thousands of prompts"],"requires":["PromptDrive account (free tier available, no credit card required)","Web browser with JavaScript enabled","Internet connectivity to access backend storage"],"input_types":["text (prompt content)","text (tags, folder names, metadata)"],"output_types":["text (matching prompts with metadata)","structured data (prompt objects with tags, folders, creation date)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_1","uri":"capability://text.generation.language.prompt.templating.with.variable.substitution","name":"prompt templating with variable substitution","description":"PromptDrive supports parameterized prompt templates using a variable substitution system that allows users to define placeholders (e.g., {{topic}}, {{tone}}) within prompt text. When executing a prompt, users provide values for each variable, and the system interpolates them into the final prompt before sending to an LLM API. This enables reuse of a single prompt template across multiple contexts without manual editing, reducing cognitive load for repetitive prompting workflows.","intents":["I have a prompt structure I use repeatedly but with different inputs — I want to save it once with placeholders","I want to execute the same prompt against multiple datasets or topics without rewriting it each time","I need to share a prompt template with my team so they can fill in their own variables"],"best_for":["teams with standardized prompting workflows (e.g., content generation, code review, data extraction)","individual users running batch operations on multiple inputs","organizations building prompt libraries for non-technical stakeholders"],"limitations":["Variable syntax not documented — unclear if it supports nested variables, conditional logic, or loops","No documented support for variable validation or type constraints","Maximum number of variables per prompt unknown","No built-in variable history or suggestions — users must manually track which variables they've used","Variable interpolation happens client-side or server-side — latency impact unknown"],"requires":["PromptDrive account","Understanding of variable placeholder syntax (likely {{varName}} or similar)","API keys for target LLM services if executing via web interface"],"input_types":["text (prompt template with variable placeholders)","text (variable values provided at execution time)"],"output_types":["text (interpolated prompt ready for LLM execution)","text (LLM response to interpolated prompt)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_10","uri":"capability://data.processing.analysis.prompt.performance.tracking.and.analytics","name":"prompt performance tracking and analytics","description":"PromptDrive may track execution statistics for prompts run through its interface, including token usage, response latency, model used, and potentially user-defined quality metrics (ratings, success/failure flags). This data enables users to compare prompt performance across models, identify high-performing prompts, and optimize prompts based on empirical results. Analytics may be presented as dashboards, charts, or exportable reports.","intents":["I want to see which of my prompts uses the fewest tokens to reduce API costs","I want to compare how different prompts perform on the same task across models","I want to identify my highest-performing prompts so I can replicate their patterns"],"best_for":["prompt engineers optimizing for cost and performance","teams running A/B tests on prompt variations","organizations tracking ROI on prompt development efforts"],"limitations":["Analytics scope not documented — unclear what metrics are tracked (tokens, latency, quality, cost)","No documented support for custom metrics or user-defined quality ratings","Analytics retention policy unknown — unclear how long historical data is kept","No documented support for comparative analysis across prompts or models","Analytics may be restricted to paid tiers — free tier capabilities unclear","No documented support for exporting analytics or integrating with external BI tools"],"requires":["PromptDrive account","Execution of prompts through PromptDrive interface (not via browser extension)","Likely requires paid tier"],"input_types":["structured data (prompt executions with results)"],"output_types":["structured data (analytics: token count, latency, model, quality metrics)","text/visual (dashboards, charts, performance reports)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_11","uri":"capability://tool.use.integration.api.integration.for.programmatic.prompt.access","name":"api integration for programmatic prompt access","description":"PromptDrive likely provides a REST API that enables programmatic access to the prompt library, allowing developers to retrieve, create, update, and execute prompts via code. This API enables integration with custom applications, automation workflows, and CI/CD pipelines. Developers can authenticate via API keys and interact with prompts as structured data, enabling use cases like automated prompt deployment, batch execution, or integration with custom LLM orchestration frameworks.","intents":["I want to retrieve prompts from PromptDrive in my application without using the web interface","I want to automate prompt execution as part of a larger workflow or pipeline","I want to integrate PromptDrive with my custom LLM orchestration framework"],"best_for":["developers building custom applications that use PromptDrive prompts","teams automating prompt deployment and execution","organizations integrating PromptDrive with existing tooling (Langchain, LlamaIndex, etc.)"],"limitations":["API documentation not publicly available or not mentioned — scope and endpoints unknown","API authentication mechanism not documented — unclear if it uses API keys, OAuth, or other methods","Rate limiting and quota policies not documented","API availability may be restricted to paid tiers","No documented support for webhooks or event-driven integrations","API versioning strategy unknown — unclear how breaking changes are handled"],"requires":["PromptDrive account with API access (likely paid tier)","API key or authentication credentials","Developer familiarity with REST APIs and HTTP clients","Documentation or API reference (not publicly available)"],"input_types":["structured data (API requests: prompt ID, variables, execution parameters)","text (API authentication credentials)"],"output_types":["structured data (prompt objects with metadata)","structured data (execution results: response, tokens, latency)","text (API error messages and status codes)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_2","uri":"capability://tool.use.integration.browser.extension.based.prompt.injection.into.native.llm.interfaces","name":"browser extension-based prompt injection into native llm interfaces","description":"PromptDrive provides a Chrome extension that runs in-context within ChatGPT, Claude, Gemini, and Midjourney web interfaces. The extension maintains a sidebar or popup UI that displays the user's saved prompt library, allowing retrieval and injection of prompts directly into the native chat input field without leaving the LLM interface. This eliminates context-switching friction by enabling users to access their prompt repository while actively working in their preferred LLM platform.","intents":["I'm in ChatGPT right now and want to quickly load a saved prompt without switching tabs","I want to inject a prompt template into Claude's interface and fill in variables without copying/pasting","I need to access my team's shared prompts while working in Midjourney without navigating away"],"best_for":["power users of ChatGPT, Claude, Gemini, or Midjourney who switch between multiple LLM platforms daily","teams collaborating on shared prompts and needing in-context access","users who want to minimize context-switching overhead during iterative prompting"],"limitations":["Extension limited to four LLM platforms — no support for Copilot, Grok, or other emerging LLM interfaces","Unclear if extension can capture/save prompts from native interfaces or only retrieve pre-stored ones","Extension permissions and data handling not documented — potential privacy concern for users storing sensitive prompts","No documented support for prompt execution within the extension itself — users must still submit to native interface","Midjourney integration scope unknown — may be limited to prompt retrieval without full image generation workflow support"],"requires":["Google Chrome browser (version unknown, likely 90+)","PromptDrive account with saved prompts","Active session in ChatGPT, Claude, Gemini, or Midjourney web interface","Extension installed and authenticated to PromptDrive account"],"input_types":["text (prompt selection from sidebar/popup UI)","text (variable values if template-based prompt)"],"output_types":["text (injected into native LLM chat input field)","text (LLM response in native interface)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_3","uri":"capability://tool.use.integration.direct.llm.api.execution.with.user.provided.credentials","name":"direct llm api execution with user-provided credentials","description":"PromptDrive allows users to add API keys for ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google) directly within the platform. Users can then execute saved prompts against these LLM services without leaving the PromptDrive web interface. The system accepts the user's API key, constructs an API request with the prompt content, sends it to the target LLM service, and returns the response within the PromptDrive UI. This enables prompt iteration and testing without switching to the native LLM interface.","intents":["I want to test a prompt against multiple LLM models (ChatGPT, Claude, Gemini) without manually copying/pasting into each interface","I need to execute a prompt template with variables and see the response all within PromptDrive","I want to iterate on a prompt and compare outputs across different LLM providers in one interface"],"best_for":["prompt engineers comparing LLM outputs across multiple providers","teams testing prompts before deploying to production","individual users who want a unified interface for multi-model prompt execution"],"limitations":["Users must provide their own API keys — PromptDrive does not offer managed API access or pooled credentials","Users pay for LLM API usage separately from PromptDrive subscription — cost transparency unclear","No documented rate limiting or quota management within PromptDrive — users hit provider rate limits directly","API key storage and encryption not documented — potential security concern if keys are not encrypted at rest","No documented support for streaming responses — likely returns full response only, not token-by-token streaming","Model selection limited to default models per provider — no documented support for fine-tuned or custom models"],"requires":["PromptDrive account","API key for at least one of: OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini)","Active API billing account with the target LLM provider","Internet connectivity to reach LLM provider APIs"],"input_types":["text (prompt content, optionally with variables)","text (variable values if template-based)","text (API key for target LLM service)"],"output_types":["text (LLM response)","structured data (response metadata: tokens used, model, latency)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_4","uri":"capability://tool.use.integration.prompt.sharing.via.unique.urls.with.access.control","name":"prompt sharing via unique urls with access control","description":"PromptDrive generates unique, shareable URLs for individual prompts and folders that can be shared with other users or made public. The system supports both public (anyone with link can view) and private (authenticated users only) sharing modes. Recipients can view the shared prompt, copy it to their own library, or execute it if they have API keys configured. The sharing mechanism appears to use URL-based access tokens rather than role-based permissions, enabling simple, link-based collaboration without complex permission management.","intents":["I want to share a prompt with a colleague without giving them access to my entire prompt library","I want to publish a prompt template publicly so others can use and iterate on it","I want to share a folder of related prompts with my team for a specific project"],"best_for":["teams collaborating on shared prompt libraries","prompt creators sharing templates with the broader community","organizations building internal prompt marketplaces"],"limitations":["Access control model not documented — unclear if shared prompts can be edited by recipients or only viewed/copied","No documented expiration dates or revocation mechanism for shared links","Sharing granularity unclear — can users share individual prompts, folders, or both?","No documented audit logging for shared prompts — unclear who accessed shared links or when","Public sharing implications not documented — unclear if public prompts are indexed by search engines or discoverable within PromptDrive","No documented support for password-protected or time-limited shares"],"requires":["PromptDrive account with at least one saved prompt or folder","Recipient email address or public link distribution method","Recipient must have PromptDrive account to execute shared prompts (API key requirement unclear)"],"input_types":["text (prompt or folder to share)","text (access mode: public or private)","text (recipient email or public link)"],"output_types":["text (unique shareable URL)","structured data (share metadata: access mode, creation date, recipient)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_5","uri":"capability://tool.use.integration.team.collaboration.with.comments.and.permissions","name":"team collaboration with comments and permissions","description":"PromptDrive supports team workspaces where multiple users can access shared prompts, add comments to prompts for discussion, and operate under a permissions model that controls who can view, edit, or delete prompts. The system appears to support team-level organization with shared folders and prompts, enabling collaborative prompt development and refinement. Comments are stored alongside prompts, enabling asynchronous discussion without requiring external communication tools.","intents":["My team wants to iterate on a prompt together with feedback and discussion","I need to control which team members can edit vs. only view our shared prompts","I want to leave feedback on a prompt without sending a separate message"],"best_for":["teams of 3+ people collaborating on shared prompt libraries","organizations with formal approval workflows for prompt changes","distributed teams needing asynchronous prompt feedback mechanisms"],"limitations":["Permission model not documented — unclear if it's role-based (admin/editor/viewer), ownership-based, or custom","Team size limits unknown — no documented maximum team members per workspace","Comment threading and notification system not documented","No documented audit trail for who edited prompts or when — version control scope unclear","Collaboration features may be restricted to paid tiers — free tier capabilities unknown","No documented support for comment mentions, @notifications, or comment resolution workflows"],"requires":["PromptDrive team account (paid tier, likely)","Team members with PromptDrive accounts","Team invitation/onboarding workflow (mechanism unknown)"],"input_types":["text (prompt content)","text (comments on prompts)","structured data (permission assignments: user role, resource access)"],"output_types":["text (shared prompts with comment threads)","structured data (team member list with roles)","structured data (activity log of changes and comments)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_6","uri":"capability://memory.knowledge.prompt.organization.via.hierarchical.folders.and.tags","name":"prompt organization via hierarchical folders and tags","description":"PromptDrive provides two complementary organizational systems: hierarchical folders (tree-based structure) and flat tags (multi-select labels). Users can organize prompts into nested folders (e.g., /Marketing/Email/Campaigns) and apply multiple tags to each prompt (e.g., #email, #copywriting, #A/B-testing). Both systems are searchable and filterable, enabling users to navigate their prompt library via folder browsing or tag-based filtering. This dual-system approach accommodates both hierarchical thinkers (folder-based) and tag-based thinkers.","intents":["I want to organize my prompts by project, use case, or team so I can find them quickly","I want to tag prompts with multiple labels so I can filter by topic, tone, or model type","I want to browse my prompts hierarchically by folder or filter by tags without using search"],"best_for":["users with 20+ prompts who need structured organization","teams with shared prompt libraries requiring clear taxonomy","power users who want both hierarchical and tag-based navigation"],"limitations":["Maximum folder nesting depth unknown — unclear if deeply nested structures are supported","Tag autocomplete or suggestions not documented — users may create duplicate tags","No documented tag hierarchy or parent-child tag relationships","Folder/tag rename or bulk operations not documented","No documented support for smart folders or saved searches","Performance impact of large folder structures unknown"],"requires":["PromptDrive account","At least one saved prompt to organize"],"input_types":["text (folder names and hierarchy)","text (tag names and assignments)"],"output_types":["structured data (folder tree with prompt counts)","structured data (tag list with associated prompts)","text (filtered prompt list by folder or tag)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_7","uri":"capability://memory.knowledge.prompt.versioning.and.change.history","name":"prompt versioning and change history","description":"PromptDrive maintains a version history of prompts, allowing users to view previous versions, compare changes between versions, and potentially revert to earlier versions. The system tracks who made changes and when, enabling audit trails for collaborative prompt development. This capability is critical for teams iterating on prompts, as it prevents accidental loss of working versions and enables rollback if a new version performs worse than a previous one.","intents":["I accidentally modified a prompt and want to revert to the version that was working","I want to see what changed in a prompt between yesterday and today","I want to compare two versions of a prompt to understand which changes improved performance"],"best_for":["teams iterating on shared prompts with multiple contributors","prompt engineers A/B testing different prompt versions","organizations requiring audit trails for compliance or governance"],"limitations":["Version control scope not documented — unclear if it's automatic on every save or manual checkpoints only","Version comparison UI not documented — unclear if it shows diffs, side-by-side views, or full version text","Version retention policy unknown — unclear how many versions are kept or if old versions are deleted","No documented support for version tagging or naming (e.g., 'v1-high-performing', 'v2-experimental')","Revert mechanism not documented — unclear if reverting creates a new version or overwrites current","No documented support for branching or parallel version development"],"requires":["PromptDrive account","At least one saved prompt with multiple edits","Likely requires paid tier (version control often restricted to paid plans)"],"input_types":["text (prompt edits and modifications)"],"output_types":["text (previous prompt versions)","structured data (version metadata: timestamp, author, change summary)","text (diff or comparison between versions)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_8","uri":"capability://memory.knowledge.prompt.metadata.and.contextual.annotations","name":"prompt metadata and contextual annotations","description":"PromptDrive allows users to attach metadata to prompts beyond the prompt text itself, including descriptions, notes, tags, creation date, last modified date, and potentially execution statistics (model used, token count, response quality ratings). Users can add contextual annotations to explain the prompt's purpose, intended use case, or performance characteristics. This metadata enables better discoverability and helps teams understand the intent behind each prompt without reading the full prompt text.","intents":["I want to document what a prompt is for so my team understands its purpose","I want to track which model performs best with each prompt","I want to add notes about a prompt's performance or limitations for future reference"],"best_for":["teams building shared prompt libraries with documentation requirements","prompt engineers tracking performance metrics across prompts","organizations standardizing prompt documentation practices"],"limitations":["Metadata fields not fully documented — unclear what fields are supported beyond description and tags","No documented support for custom metadata fields or user-defined attributes","Execution statistics tracking not documented — unclear if response quality, token count, or latency are tracked","No documented support for metadata templates or standardized documentation formats","Metadata search/filtering not documented — unclear if users can filter by metadata fields"],"requires":["PromptDrive account","At least one saved prompt"],"input_types":["text (prompt description, notes, tags)","structured data (metadata fields: creation date, author, model, performance metrics)"],"output_types":["structured data (prompt with full metadata)","text (prompt library view with metadata columns)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_promptdrive-ai__cap_9","uri":"capability://data.processing.analysis.prompt.import.and.export.with.format.conversion","name":"prompt import and export with format conversion","description":"PromptDrive supports importing prompts from external sources (likely CSV, JSON, or plain text formats) and exporting prompts to standard formats for backup, migration, or integration with external tools. The system likely provides bulk import/export capabilities for teams migrating from other prompt management tools or building integrations with custom systems. Export formats may include JSON (for programmatic access), CSV (for spreadsheet tools), or plain text (for archival).","intents":["I want to migrate my prompts from another tool into PromptDrive","I want to back up my prompts in a portable format in case I switch tools","I want to export my prompts to integrate with a custom workflow or automation tool"],"best_for":["teams migrating from other prompt management platforms","users building custom integrations or automation workflows","organizations requiring data portability and backup strategies"],"limitations":["Supported import/export formats not documented — unclear if JSON, CSV, or other formats are supported","Bulk import limits unknown — unclear if there are file size or prompt count limits","Format mapping not documented — unclear how metadata (tags, folders, variables) are handled during import/export","No documented support for scheduled exports or automated backups","Export granularity unclear — can users export individual prompts, folders, or entire libraries?","No documented support for format validation or error handling during import"],"requires":["PromptDrive account","Source file in supported format (likely JSON or CSV)","Likely requires paid tier (import/export often restricted)"],"input_types":["file (JSON, CSV, or plain text with prompts)","structured data (prompt selection for export)"],"output_types":["file (exported prompts in selected format)","structured data (import results: success count, error count, validation report)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["PromptDrive account (free tier available, no credit card required)","Web browser with JavaScript enabled","Internet connectivity to access backend storage","PromptDrive account","Understanding of variable placeholder syntax (likely {{varName}} or similar)","API keys for target LLM services if executing via web interface","Execution of prompts through PromptDrive interface (not via browser extension)","Likely requires paid tier","PromptDrive account with API access (likely paid tier)","API key or authentication credentials"],"failure_modes":["Search functionality scope unknown — unclear if it searches only prompt text or also execution results/metadata","No documented full-text search syntax (wildcards, boolean operators, regex) — likely basic keyword matching only","Maximum prompt library size per user/team unknown — potential performance degradation at scale","Search latency not documented — could be problematic for teams with thousands of prompts","Variable syntax not documented — unclear if it supports nested variables, conditional logic, or loops","No documented support for variable validation or type constraints","Maximum number of variables per prompt unknown","No built-in variable history or suggestions — users must manually track which variables they've used","Variable interpolation happens client-side or server-side — latency impact unknown","Analytics scope not documented — unclear what metrics are tracked (tokens, latency, quality, cost)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"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":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=promptdrive-ai","compare_url":"https://unfragile.ai/compare?artifact=promptdrive-ai"}},"signature":"MAEGp1rpLW6cKnbHLjihMiZEE627VoaLW6TPbc6Kxd9An4ackFve28hxNiF3f+/V87YRTWLDbrhemoOTbKLhBA==","signedAt":"2026-06-21T05:52:01.248Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/promptdrive-ai","artifact":"https://unfragile.ai/promptdrive-ai","verify":"https://unfragile.ai/api/v1/verify?slug=promptdrive-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"}}