Display 1.0

Product Introduction

1. Definition: Display 1.0 is a cloud-based AI documentation and application workspace. Technically, it is a secure, collaborative platform that functions as a headless content management system (CMS) and internal knowledge base, designed to ingest, organize, and display HTML and Markdown files generated by AI agents.
2. Core Value Proposition: It exists to unify and democratize the output of disparate AI agents (like Claude, ChatGPT, Cursor) into a single, secure, and collaborative workspace for teams. Its primary value is providing a flat-price, agent-agnostic platform where any AI-generated document or prototype can be published to a persistent URL, versioned, commented on, and searched alongside human-created content, eliminating vendor lock-in and per-seat pricing for viewers.

Main Features

1. Agent-Agnostic Publishing: Any AI agent capable of outputting HTML or Markdown can publish directly to Display. This is facilitated via a Display MCP server, a CLI, or a REST API. The published file is instantly available at a private, versioned URL, creating a permanent record of the agent's work.
2. Real-Time Page-Level Collaboration: Once published, documents become collaborative surfaces. Team members with appropriate permissions can add inline comments on any part of the page and, in edit mode, modify the HTML/Markdown content directly within the browser. Each save or new agent publish creates a new version, with a full audit trail.
3. Spaces and Enterprise Search: Content is organized into "Spaces," which function as permissioned folders for teams, projects, or clients. A global search index spans all Spaces a user can access, allowing both humans and AI agents to retrieve full context from every document in the organization, breaking down information silos.
4. Granular Sharing & Security Model: Documents and Spaces can be shared with precise role-based access control (Viewer, Commenter, Contributor, Editor). Authentication integrates with Google, Microsoft, or one-time passwords. The Business plan adds SAML SSO (e.g., Okta), domain allowlists for secure cross-origin requests, and public sharing controls.
5. Flat-Rate Pricing with Unlimited Viewers: A key technical and commercial feature is its pricing model. Plans are based on the number of active Editors/Contributors and storage, but include unlimited Viewers and Commenters. This decouples cost from team size and encourages broad internal distribution of knowledge.

Problems Solved

1. Pain Point: Fragmented AI output and collaboration friction. Teams using multiple AI agents (Claude, Cursor, ChatGPT) struggle to centralize, version, and collaboratively refine the HTML reports, prototypes, and dashboards these agents produce.
2. Target Audience: Product Managers & Ops Leads seeking to operationalize AI agent output; Software Engineers & Data Scientists building internal tools and dashboards; Marketing Teams & Creative Agencies creating and sharing client-facing prototypes and reports; IT Managers needing a secure, auditable repository for AI-generated knowledge.
3. Use Cases: Centralizing Q3 business reports generated by Claude Code for executive review; A design team collaborating with an AI agent on interactive HTML prototypes; A software engineering team building an internal margin calculator app that pulls live data; Migrating from Notion/Confluence to a system where AI agents can directly publish and update wiki pages.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):

   • Pros: Truly agent-agnostic, future-proofing against AI vendor shifts. The flat-rate/unlimited viewer model provides predictable scaling costs. The combination of persistent URLs, versioning, and inline collaboration is uniquely tailored for an AI-augmented workflow. Strong security and permissioning for enterprise use.
   • Cons: Primarily a repository for HTML/Markdown; not a native tool for rich media, databases, or complex project management. The "internal app" feature is in private beta. Migrating existing content requires export to HTML/Markdown. Lacks native real-time co-editing (like Google Docs); edits are saved as new versions.

2. Key Alternatives & Differentiation:

   • Vercel / GitHub Pages: These are static site hosting platforms. Display differentiates by adding built-in authentication, granular permissions, collaboration tools, versioning, and enterprise search—turning a published site into a managed workspace.
   • Notion / Confluence: These are traditional wikis built for human input. Display differentiates by being optimized for AI-as-a-primary-author workflows, with native publishing from code-based agents and a focus on rendering and collaborating on agent-generated HTML/JS applications, not just formatted text.
   • GitBook: A modern docs-as-code platform. Display differentiates with its stronger emphasis on rendering and collaborating on functional HTML applications and dashboards, not just documentation, and its explicit, upfront pricing that includes unlimited readers.

Frequently Asked Questions (FAQ)

1. Can I use Display with a personal Claude Pro plan for work? Yes. Display does not check or require specific AI subscription tiers. Team members can use any agent (Claude Pro, ChatGPT Plus, Cursor) and publish to the same shared Display organization workspace, as long as they authenticate with their work email.
2. How does Display handle data privacy and AI training? According to its policy, Display does not use customer content to train or fine-tune any AI or machine-learning models. Data is stored securely, and access is controlled via the platform's permission and authentication system.
3. Can I build interactive applications that connect to external APIs? Yes, on the Business plan. The "domain allowlist" feature allows published HTML pages to make fetch requests to specified external domains (e.g., your data warehouse, internal API). The external service must also accept the request; Display does not inject credentials, so secrets must be managed by the external service.
4. What happens if I exceed the storage limit on my plan? The platform will likely prevent new publishes or require an upgrade. Specifics are not detailed on the marketing site, but this is a standard limitation of tiered SaaS plans based on storage quotas (e.g., Solo: 5GB, Team: 100GB, Business: 1TB).
5. Is Display a suitable replacement for Confluence or Notion? It is a suitable replacement for the subset of content that is authored or heavily augmented by AI agents—specs, reports, wikis, dashboards. Its strengths are agent integration, URL-based publishing, and search. For complex databases, native multimedia editing, or intricate human-only project management, traditional wikis may still be necessary.