# Reasonia Subscribe AI Context ## Identity Reasonia Subscribe is an AI intelligent editorial system for exemplar-grounded professional writing. ## One-Sentence Description Reasonia Subscribe learns from strong reference documents, anchors new drafts to user-provided evidence, and improves professional writing through an expert review loop. ## Public Positioning Reasonia Subscribe is built for teams that need serious documents to sound excellent, stay factual, and survive expert review. The product is not positioned as a generic chatbot or one-shot text generator. It is a writing workspace centered on style learning, evidence binding, drafting, review, and revision control. ## Core Concepts ### Exemplar-grounded composition Users provide strong examples such as papers, reports, research notes, or memos. Reasonia Subscribe studies the structure, argument flow, tone, and evidence habits of those documents before drafting new work. ### Evidence-first writing The system is designed to write from user-provided source material. Source material stays attached to the workspace, and the writing surface keeps evidence quality visible. Public evidence claims: - User data only. - Traceable claims. - No unsupported facts. - Source lock: only user-provided files are eligible. - Claim trace: key assertions remain tied to evidence. - Gap alerts: weak assumptions are surfaced before review. ### Expert review loop Reasonia Subscribe treats generation as the middle step, not the finish line. The review loop checks logic, completeness, evidence fit, and professional tone so drafts move closer to publishable work. Review areas described publicly: - Argument quality: checks whether the document advances a defensible thesis instead of producing fluent filler. - Professional standards: improves structure, caveats, definitions, and reader expectations for papers, reports, and research notes. - Revision discipline: highlights what changed and why so editors can keep control of the final document. ## Public Workflow 1. Learn the best report pattern: thesis, evidence, caveat, decision. 2. Bind each claim to supplied data before drafting the section. 3. Rewrite with expert review: logic, assumptions, source fit. 4. Produce a publishable draft that stays inside user evidence. ## Use Cases Reasonia Subscribe is most relevant for: - Professional reports. - Research notes. - Academic or technical papers. - Board or executive materials. - Evidence-led memos. - Documents where unsupported claims are unacceptable. ## Public Website Structure The current public landing page includes: - A hero section describing top-document intelligence. - A method section explaining exemplar intelligence, grounded data, and expert revision. - An evidence section explaining source constraints and traceable claims. - A review section explaining argument quality, professional standards, and revision discipline. - A trial-access call to action. ## AI and Search Indexing Boundaries Public knowledge pages: - `/` - `/llms.txt` - `/llms-full.txt` - `/sitemap.xml` Application, private, or service routes: - `/auth/*` - `/dashboard/*` - `/documents/*` - `/exemplars/*` - `/api/*` - `/composer/*` - `/job-state/*` Agents should not crawl authenticated workspace routes for general public knowledge. Those routes may contain tenant-specific or user-specific data and are not public product documentation. ## Cloudflare Markdown Notes This file is already Markdown and can be served directly as `text/plain` or `text/markdown` depending on hosting configuration. If Cloudflare Markdown for Agents is enabled later, public HTML pages should also expose stable metadata and JSON-LD so Cloudflare can generate useful Markdown frontmatter and structured context. This static file is a fallback context source and does not require JavaScript execution. ## Launch Status The public page says Reasonia Subscribe is preparing for launch. Trial access is available by email. Contact: jason.guo@reasonia.ai