{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_ai-assist-by-airfocus","slug":"ai-assist-by-airfocus","name":"AI Assist by airfocus","type":"product","url":"https://airfocus.com","page_url":"https://unfragile.ai/ai-assist-by-airfocus","categories":["text-writing"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_ai-assist-by-airfocus__cap_0","uri":"capability://text.generation.language.context.aware.product.document.generation.with.workspace.integration","name":"context-aware product document generation with workspace integration","description":"Generates product documentation (PRDs, feature specs, release notes) by querying the airfocus workspace context, including roadmaps, initiatives, priorities, and stakeholder information. The system maintains semantic awareness of product strategy by embedding references to existing airfocus artifacts, ensuring generated content aligns with documented product direction and avoids contradictions with planned work.","intents":["I need to write a PRD that reflects our current roadmap priorities without manually copying context from airfocus","Generate release notes that automatically reference the features we've shipped according to our roadmap","Create feature specifications that stay consistent with our product strategy and existing documentation"],"best_for":["Product managers using airfocus as their primary product management system","Teams with established roadmaps and initiative tracking in airfocus","Organizations prioritizing documentation consistency with product strategy"],"limitations":["Requires active airfocus workspace with populated roadmaps and initiatives — limited effectiveness for teams with sparse or outdated workspace data","Context window limited to airfocus artifacts only — cannot incorporate external sources like Jira, Confluence, or competitor analysis without manual input","No real-time sync with external product management tools, so teams using multiple systems must manually bridge context"],"requires":["Active airfocus account with workspace access","Populated roadmap or initiative data in airfocus","User authentication/API token for workspace context retrieval"],"input_types":["natural language prompts","document type selection (PRD, release notes, feature spec)","airfocus workspace context (implicit)"],"output_types":["formatted text documents","markdown-compatible product documentation","structured sections with embedded roadmap references"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_1","uri":"capability://text.generation.language.template.driven.document.structure.generation.for.product.artifacts","name":"template-driven document structure generation for product artifacts","description":"Provides pre-built, domain-specific templates for common product documentation types (PRD, feature spec, release notes, user story) that guide the LLM to generate structured, consistently-formatted output. Templates encode best practices for product documentation and enforce section hierarchies, reducing the need for manual formatting and ensuring compliance with organizational documentation standards.","intents":["I want to generate a PRD that follows our team's standard structure without manually creating sections","Generate release notes in the format our marketing team expects","Create feature specifications that include all required sections (acceptance criteria, technical considerations, success metrics)"],"best_for":["Teams with established documentation standards and templates","Organizations seeking to enforce consistent documentation quality across product managers","Product teams new to structured documentation who want guidance on what sections to include"],"limitations":["Templates are fixed and not customizable within the product — teams with non-standard documentation formats cannot adapt templates","Template selection is manual — no intelligent detection of which template best fits the user's intent","Limited to airfocus-provided templates; no ability to import custom organizational templates"],"requires":["Active airfocus account","Selection of appropriate template type before generation"],"input_types":["template type selection","natural language prompt or feature description","optional: existing document sections to expand"],"output_types":["structured markdown or rich text document","pre-formatted sections with placeholder content","document with embedded section guidance"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_2","uri":"capability://text.generation.language.intelligent.content.expansion.and.section.elaboration","name":"intelligent content expansion and section elaboration","description":"Takes partial or outline-level product documentation (e.g., a feature title and one-sentence description) and expands it into full sections with detailed explanations, examples, and supporting content. Uses the LLM to infer missing details from the airfocus workspace context and user intent, generating prose that fills gaps while maintaining consistency with existing documentation.","intents":["I have a feature outline but need to expand it into a full PRD section with rationale and success metrics","Turn a one-line feature description into a comprehensive feature spec with acceptance criteria","Elaborate on a release note bullet point into a full feature announcement paragraph"],"best_for":["Product managers with partial documentation who need rapid expansion to full drafts","Teams iterating on documentation where initial outlines need elaboration","Organizations where product managers draft outlines and AI handles detailed writing"],"limitations":["Expansion quality depends on initial outline specificity — vague inputs produce generic, less useful output","No user control over expansion tone or depth — system applies uniform elaboration strategy","Cannot validate that expanded content is technically accurate without human review, especially for complex features"],"requires":["Active airfocus account","Partial or outline-level documentation as input","Context from airfocus workspace (roadmap, related initiatives)"],"input_types":["outline text or bullet points","feature title and brief description","section headers with minimal content"],"output_types":["expanded prose paragraphs","full documentation sections","formatted text with supporting details"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_3","uri":"capability://safety.moderation.cross.document.consistency.checking.and.alignment.validation","name":"cross-document consistency checking and alignment validation","description":"Analyzes generated or existing product documentation against other artifacts in the airfocus workspace (roadmaps, initiatives, feature specs, release notes) to identify inconsistencies, contradictions, or misalignments. Flags issues such as feature descriptions that conflict with roadmap timelines, release notes that reference unplanned features, or specs that contradict existing documentation.","intents":["Check if my PRD conflicts with our published roadmap before sharing with stakeholders","Validate that release notes accurately reflect the features we actually shipped according to our roadmap","Ensure feature specifications don't contradict each other or existing product decisions"],"best_for":["Teams with multiple product managers creating documentation independently","Organizations with strict documentation governance requirements","Product teams managing complex products with many interdependent features"],"limitations":["Consistency checking is rule-based and may produce false positives (e.g., flagging intentional strategy pivots as contradictions)","Requires well-maintained airfocus workspace — sparse or outdated workspace data reduces effectiveness","Cannot validate consistency against external sources (competitor products, market research, customer feedback) stored outside airfocus"],"requires":["Active airfocus account with populated workspace","Document to validate (generated or existing)","Related artifacts in airfocus workspace (roadmaps, initiatives, specs)"],"input_types":["product documentation text","airfocus workspace context (implicit)"],"output_types":["consistency report with flagged issues","list of contradictions with references to conflicting artifacts","alignment score or validation status"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_4","uri":"capability://text.generation.language.multi.stakeholder.documentation.personalization.and.tone.adaptation","name":"multi-stakeholder documentation personalization and tone adaptation","description":"Generates multiple versions of the same product documentation tailored to different audiences (executives, engineers, customers, support teams) with appropriate tone, technical depth, and emphasis. Uses airfocus workspace metadata (stakeholder roles, audience tags) to determine which version to generate, adapting language complexity, detail level, and focus areas accordingly.","intents":["Generate an executive summary of a feature that focuses on business impact, and a technical spec for engineers","Create a customer-facing feature announcement and an internal release note from the same feature data","Adapt a PRD for different stakeholder groups without manually rewriting sections"],"best_for":["Product teams with diverse stakeholder groups (executives, engineers, customers, support)","Organizations where the same feature needs documentation for multiple audiences","Teams seeking to reduce documentation effort by generating variants from a single source"],"limitations":["Audience detection is manual — users must specify target audience, no automatic detection of who will read the document","Tone adaptation is template-based and may not capture nuanced organizational voice or brand guidelines","Cannot incorporate audience-specific data sources (e.g., customer feedback for customer-facing docs) without manual input"],"requires":["Active airfocus account","Source documentation or feature description","Explicit selection of target audience(s)"],"input_types":["product documentation or feature description","audience type selection (executive, engineer, customer, support, etc.)","optional: tone or style preferences"],"output_types":["multiple document versions","audience-specific prose with adapted tone and depth","structured variants with different section emphasis"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_5","uri":"capability://automation.workflow.batch.documentation.generation.for.roadmap.items.and.initiatives","name":"batch documentation generation for roadmap items and initiatives","description":"Generates documentation for multiple roadmap items or initiatives in a single operation, creating PRDs, feature specs, or release notes for an entire roadmap or quarter's worth of work. Processes items in bulk, maintaining consistency across generated documents and reusing context from the airfocus workspace to avoid redundant LLM calls.","intents":["Generate PRDs for all features in our Q3 roadmap in one batch operation","Create feature specs for 10 planned initiatives without manually triggering generation for each one","Produce release notes for all shipped features in a release cycle automatically"],"best_for":["Product teams managing large roadmaps with many features","Organizations preparing documentation for entire release cycles","Teams seeking to reduce manual documentation effort through automation"],"limitations":["Batch generation may produce inconsistent quality across items if some have sparse workspace context","No prioritization or filtering — system generates for all selected items regardless of documentation readiness","Generated documents require human review before publication, especially for large batches where quality variance is higher"],"requires":["Active airfocus account with populated roadmap","Multiple roadmap items or initiatives to generate documentation for","Sufficient workspace context for each item (title, description, timeline)"],"input_types":["selection of roadmap items or initiatives","document type selection (PRD, spec, release notes)","optional: template or tone preferences"],"output_types":["multiple documents (one per roadmap item)","batch export in markdown or document format","consistency report across generated documents"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_6","uri":"capability://text.generation.language.document.editing.and.iterative.refinement.with.ai.assistance","name":"document editing and iterative refinement with ai assistance","description":"Provides in-document editing capabilities that allow users to refine generated or existing documentation through natural language commands (e.g., 'make this more concise', 'add technical details', 'remove jargon'). Maintains document structure and formatting while applying targeted edits, and preserves airfocus context references throughout iterations.","intents":["I generated a PRD but it's too technical — ask AI to simplify the language for non-technical stakeholders","The feature spec is too long — ask AI to condense it while keeping acceptance criteria","Add more detail to the success metrics section without regenerating the entire document"],"best_for":["Product managers iterating on documentation through multiple drafts","Teams with collaborative documentation workflows where multiple people refine the same document","Organizations seeking rapid feedback loops on documentation quality"],"limitations":["Editing commands are natural language and may be ambiguous — system may misinterpret intent (e.g., 'make it better' is too vague)","Edits are applied to the entire document or section, not granular selections — no word-level or phrase-level editing","No version history or undo functionality — users cannot revert to previous document states after edits"],"requires":["Active airfocus account","Existing document in airfocus or imported into the editing interface","Natural language editing commands"],"input_types":["existing product documentation","natural language editing instructions","optional: section or paragraph selection"],"output_types":["refined document text","edited sections with preserved formatting","change summary or diff"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_ai-assist-by-airfocus__cap_7","uri":"capability://memory.knowledge.feature.to.documentation.mapping.and.automatic.linking","name":"feature-to-documentation mapping and automatic linking","description":"Automatically links generated documentation to corresponding roadmap items, initiatives, or features in the airfocus workspace, creating bidirectional references that keep documentation synchronized with product strategy. When a feature is updated in the roadmap, the system can flag related documentation that may need updates.","intents":["Generate a PRD and automatically link it to the roadmap initiative so stakeholders can find the documentation","When a feature's timeline changes in the roadmap, get notified that the release notes may need updating","Create a documentation index that shows which features have PRDs, specs, and release notes"],"best_for":["Teams with large roadmaps where documentation-to-feature mapping is critical for discoverability","Organizations seeking to maintain documentation freshness by tracking which docs are out of sync with roadmap changes","Product teams using airfocus as a single source of truth for product information"],"limitations":["Linking is automatic but may create incorrect associations if feature names are ambiguous or similar","No manual override for incorrect links — users cannot easily correct mismatched documentation","Requires consistent naming conventions between roadmap items and documentation titles to work reliably"],"requires":["Active airfocus account with populated roadmap","Generated or existing documentation with clear feature references","Roadmap items with titles that match or closely resemble documentation titles"],"input_types":["product documentation","airfocus roadmap context (implicit)"],"output_types":["bidirectional links between documentation and roadmap items","documentation index or mapping report","change notifications when linked roadmap items are updated"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"low","permissions":["Active airfocus account with workspace access","Populated roadmap or initiative data in airfocus","User authentication/API token for workspace context retrieval","Active airfocus account","Selection of appropriate template type before generation","Partial or outline-level documentation as input","Context from airfocus workspace (roadmap, related initiatives)","Active airfocus account with populated workspace","Document to validate (generated or existing)","Related artifacts in airfocus workspace (roadmaps, initiatives, specs)"],"failure_modes":["Requires active airfocus workspace with populated roadmaps and initiatives — limited effectiveness for teams with sparse or outdated workspace data","Context window limited to airfocus artifacts only — cannot incorporate external sources like Jira, Confluence, or competitor analysis without manual input","No real-time sync with external product management tools, so teams using multiple systems must manually bridge context","Templates are fixed and not customizable within the product — teams with non-standard documentation formats cannot adapt templates","Template selection is manual — no intelligent detection of which template best fits the user's intent","Limited to airfocus-provided templates; no ability to import custom organizational templates","Expansion quality depends on initial outline specificity — vague inputs produce generic, less useful output","No user control over expansion tone or depth — system applies uniform elaboration strategy","Cannot validate that expanded content is technically accurate without human review, especially for complex features","Consistency checking is rule-based and may produce false positives (e.g., flagging intentional strategy pivots as contradictions)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"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":"2026-05-24T12:16:28.696Z","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=ai-assist-by-airfocus","compare_url":"https://unfragile.ai/compare?artifact=ai-assist-by-airfocus"}},"signature":"zvD5Roe1frprew1RkcUqmLGsvsUc4KO3T8XmztbTWGPcTRHQUeH/OyXKjnKDkYSX0J8QYzgcTiEm/lNtTpSxDA==","signedAt":"2026-06-22T03:16:04.521Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-assist-by-airfocus","artifact":"https://unfragile.ai/ai-assist-by-airfocus","verify":"https://unfragile.ai/api/v1/verify?slug=ai-assist-by-airfocus","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"}}