Studio

Studio Documents

Long-form documents co-authored with APEX and grounded in the graph.

5 top capabilities387 featuresFrom pyd_product_taxonomy

What it is

Studio Documents — in one paragraph.

Studio Documents for Product Graph is the long-form authoring surface inside Pyramyd Studio. It is built on TipTap 3 / ProseMirror with the StarterKit core plus 170+ Pyramyd-authored block, mark, and behavior extensions, 450+ AI editor extensions (each wired to /api/editor/analyze with a tailored prompt), and a unified MultiPageDocumentJson envelope (`{ schemaVersion, pages, pageOrder, metadata }`) so a single document file can carry many ordered pages just like Studio Slides. It provides a left-side Pages Navigator (drag-to-reorder, rename, duplicate, insert, delete), a 17-section floating/bubble/fixed toolbar with all standard formatting plus headings, alignment, fonts, sizes, colors, code-block language picker, and AI menu, real-time collaboration via Hocuspocus + Y.js with awareness presence and remote cursors, comments with threads + reactions, snapshots + tracked changes + doc-history + doc-compare panels, six import/export formats (PDF export-only, DOCX, external cloud word processor, external note-taking service, external layout word processor, and the Pyramyd-native SmartDoc format with round-trip via /api/documents/export/{format} and /api/documents/import/{format}), provenance fields (source_integration, external_id, integration_source_payload, last_synced_at, last_exported_at, last_exported_format) on every imported or exported doc, a slash-command extension, a global ⌘K command palette that auto-registers every AI extension via AiExtensionRegistrar reading the generated manifest, an inline AI command bar, AI Insights / AI Study / AI Chat side panels, document-level metadata (tags, bookmarks, stats, outline, minimap, table of contents, footnotes panel, index panel), an integration picker for graph nodes / hashtag mentions, a marketplace mount for third-party blocks, accessibility controls (reading level toggle, vim mode, screen-reader-friendly markup, focus mode), and persistence into user_documents.content_json (jsonb) with debounced auto-save through /api/documents and validation auto-repair. The editor host (StudioDocumentsTab.tsx) wires every extension, registers every keymap, and hosts every dialog/panel; the editor toolbar (EditorToolbar.tsx) renders the surface controls.

Top 5 capabilities

The most-built-out capability set.

Each capability is the parent of dozens of typed features in the production taxonomy. Hover any feature in Studio to drill into the underlying nodes.

AI Content Generation

111 features

AI Content Generation for Product Graph is the family of extensions that synthesise net-new content from a prompt and/or the surrounding doc context: about pages, abstracts, account plans, ad copy, agendas, agreements, announcements, biographies, blog posts, board decks, brochures, business plans, campaign briefs, case studies, changelogs, charters, cheatsheets, checklists, contracts, courses, curricula, demo scripts, ebooks, emails, FAQs, handbooks, how-tos, internal memos, letters, manuals, manifestos, meeting agendas, mission statements, newsletters, one-pagers, op-eds, outlines, pitches, plans, playbooks, podcasts, policies, postmortems, presentations, press releases, primers, product briefs, proposals, prospectuses, quickstarts, release notes, reports, roadmaps, runbooks, sales letters, slides, SLAs, social posts, specs, stories, summaries, talking points, taxonomies, technical specs, templates, tutorials, vision statements, walkthroughs, white papers, wikis, workshops, YAML configs, video descriptions, and more.

AI Document Analysis and Insight

106 features

AI Document Analysis and Insight for Product Graph is the family of extensions that reads the document and produces structured output: extractors (action items, decisions, assumptions, entities, key takeaways, mentions, metadata, persona traits, questions, themes, topics, segments, stakeholders), classifiers plus detectors (anti-patterns, bias, contradictions, hallucinations, anomalies, redactions, sentiment, intent, priority), scorers (doc quality score, readability, complexity, summary quality), comparators (paragraph diff, doc similarity, fact comparison), and bespoke audits (accessibility check, access review, fairness audit). Each writes its result either into a side panel, an inline block, or a dedicated annotation layer.

AI Engineering and DevOps

72 features

AI Engineering and DevOps for Product Graph surfaces 60+ extensions for engineering documents: acceptance criteria plus acceptance test generators, ADRs, agent system prompts, agent trace summaries, anti-pattern detector, API design plus API design review, architecture decision logs, bug report generators, build-vs-buy plus buy-vs-build, code-review, code-smell scanner, complexity analyzer, dataset doc generator, dependency graphs, design docs, devops checklists, error budgets, exception catalogs, infrastructure summaries, integration test specs, log pattern detector, microservice splitters, monorepo overviews, performance review, PRDs, pull-request descriptions, refactor suggestions, regression suspects, release notes, root-cause analysis, schema docs, scrum artefacts, security review, SLI/SLO drafts, SRE runbooks, system design, tech-debt audits, technical specs, test coverage analysis, test plans, testing strategy, threat models, traceability matrices, and vulnerability writeups.

AI Sales, GTM and Customer Success

57 features

AI Sales, GTM and Customer Success for Product Graph surfaces about 70 extensions for revenue-facing teams: account plans, ad copy plus ad creative briefs, battlecards, board deck narratives, brand voice, buyer personas, campaign briefs, case studies, churn-risk briefs, competitive intel, conference talks, content calendars, customer-voice extracts, deal one-pagers, demand-gen plans, demo scripts, discovery question banks, email sequences, event recaps, exec summaries, GTM plans, headline generators, kickoff agendas, landing-page copy, lead-magnet briefs, marketing collateral, message houses, negotiation prep, newsletters, objection handlers, partnership briefs, persona archetypes, pitch decks, positioning briefs, presentation outlines, press releases, pricing narratives, product launches, product marketing one-pagers, prospect emails, QBRs, renewal plans, retention briefs, revenue narratives, roadshow plans, sales letters, segment briefs, social posts, sponsor proposals, success plans, support replies, talking points, value-prop pages, vendor briefs, and voice-of-customer summaries.

AI Product and Design

41 features

AI Product and Design for Product Graph surfaces extensions for product and design teams: product briefs, design docs, design reviews, jobs-to-be-done frameworks, personas, PRDs, problem statements, product launch briefs, prototype briefs, requirement docs, user flows, user-research notes, user stories, value propositions, UX writing audits, and wireframe annotations.