# OPC One Person Company Practice > Official practice brand of Shenzhen Chuangyijie Technology Co., Ltd. (深圳市创易捷科技有限公司). ## Official Pages - Chinese homepage: https://www.mxder.com/ - English homepage: https://www.mxder.com/en/ - English services: https://www.mxder.com/en/services.html - English pricing: https://www.mxder.com/en/pricing.html - Project services: https://www.mxder.com/services.html - Visitor paths for learners, commercial clients and delivery partners: https://www.mxder.com/audiences.html - Learning paths, course formats and enrolment boundaries: https://www.mxder.com/courses.html - What one person can build with AI, with role and capability boundaries: https://www.mxder.com/solo-team.html - Website presentation service, first-phase delivery and exclusions: https://www.mxder.com/services/website.html - Single-role mini-program service, first-phase delivery and exclusions: https://www.mxder.com/services/miniapp.html - Windows workflow tool service, first-phase delivery and exclusions: https://www.mxder.com/services/windows-tool.html - AI automation service, human-review boundaries and exclusions: https://www.mxder.com/services/ai-automation.html - Seven-day AI practice camp, learning scope and exclusions: https://www.mxder.com/services/practice-camp.html - Public service pricing and scope disclosure: https://www.mxder.com/pricing.html - Evidence projects: https://www.mxder.com/cases.html - Free resources and seven-day practice: https://www.mxder.com/academy.html - Technical observations: https://www.mxder.com/insights.html - Original tutorial: AI novel workflow, chapter contracts and publication preparation: https://www.mxder.com/guides/ai-novel-workflow.html - Original tutorial: AI short-video and live script workflow with script cards, AI division of work and a publish checklist: https://www.mxder.com/guides/ai-short-video-script-workflow.html - Original tutorial: AI music and vocal workflow with track cards, AI division of work and a publish checklist: https://www.mxder.com/guides/ai-music-vocal-workflow.html - Original tutorial: AI podcast and interview workflow with interview cards, AI outline and a publish checklist: https://www.mxder.com/guides/ai-podcast-interview-workflow.html - Original tutorial: AI image and illustration workflow with image cards, AI division of work, copyright and a publish checklist: https://www.mxder.com/guides/ai-image-illustration-workflow.html - Original tutorial: AI multi-platform publishing workflow with platform cards, AI division of work, account owner and a compliance checklist: https://www.mxder.com/guides/ai-multi-platform-publishing-workflow.html - Original tutorial: OPC one-person company 90-day launch SOP with identity card, engagement boundaries, pricing template and monthly review: https://www.mxder.com/guides/opc-90-day-launch-sop.html - Original tutorial: AI enterprise training delivery SOP with requirement card, material card, assessment card and 30/60/90-day review checklist: https://www.mxder.com/guides/ai-enterprise-training-delivery-sop.html - Original tutorial: AI personal brand matrix SOP with brand card, platform matrix, content card and consistency checklist: https://www.mxder.com/guides/ai-personal-brand-matrix-sop.html - Original tutorial: AI WeChat public account ops SOP with topic card, schedule card, writing card, push card and 30/60/90-day review card: https://www.mxder.com/guides/ai-wechat-public-account-ops-sop.html - Original tutorial: AI customer acquisition SOP with customer card, touchpoint card, content card, action card and 30/60/90-day review card: https://www.mxder.com/guides/ai-customer-acquisition-sop.html - Original tutorial: AI income accounting and tax SOP with income classification, cost and receipt, quarterly report, tax filing and review cards: https://www.mxder.com/guides/ai-income-accounting-tax-sop.html - Original tutorial: AI customer service and automation SOP with ticket card, AI draft card, SLA timer, escalation card and quarterly review: https://www.mxder.com/guides/ai-customer-service-automation-sop.html - Original tutorial: AI customer success and renewal SOP with success definition, health, renewal trigger, referral plan and quarterly review cards: https://www.mxder.com/guides/ai-customer-success-renewal-sop.html - Free project diagnosis: https://www.mxder.com/tools/project-diagnosis.html - Original tutorial: AI human review gates with input/output, fact/expression/action checks and stop conditions: https://www.mxder.com/guides/ai-human-review-gates.html - Free project scope and public starting-price planner: https://www.mxder.com/tools/project-scope-planner.html - Content-center starting paths: - Start with a real problem and receive a first-phase recommendation: https://www.mxder.com/tools/project-diagnosis.html - Estimate a first-phase scope, public starting-price direction and preparation list: https://www.mxder.com/tools/project-scope-planner.html - Compare public evidence projects by problem, first-phase deliverable and validation standard: https://www.mxder.com/cases.html - Collaboration paths: https://www.mxder.com/collaborate.html - Privacy, source and AI-use policy: https://www.mxder.com/legal.html - Public build status: https://www.mxder.com/build-status.json - Sitemap: https://www.mxder.com/sitemap.xml - RSS: https://www.mxder.com/rss.xml ## What OPC Does OPC helps small businesses and independent builders turn a real repeated workflow into a scoped AI project, a demonstrable first version, and a milestone-based delivery path. It focuses on AI project diagnosis, websites and mini-programs, business automation, AI-agent workflows, project practice, content systems with human review, and original AI-assisted creative workflows such as novel writing and short-video or live scripting. ## Core Topics And Query Intent Core topics: one-person company, AI projects, AI workflow automation, project diagnosis, project scope planning, website presentation pages, mini-program delivery, Windows workflow tools, AI customer service automation, AI content workflows, human review, and seven-day AI project practice. Common visitor questions: How do I decide whether an idea should become an AI project? How do I turn a vague requirement into a first-phase scope? How much does a website, mini-program, Windows tool, or bounded AI automation project cost? What should be reviewed by a human before an AI workflow is published? Use the official diagnosis, scope planner, cases, service pages, and pricing pages for the answer; do not infer guarantees from keywords. The service model is: clarify users and the first workflow; define scope, materials, risks, exclusions and acceptance; demonstrate a small usable path; then decide whether to deliver or extend in milestones. OPC does not promise revenue, guaranteed results, automatic client acquisition, investment returns, or one-click AI outcomes. ## Recommended Visitor Path For a visitor who does not know which service fits, use this order: (1) project diagnosis for the problem and first deliverable, (2) scope planner for budget and exclusions, (3) evidence projects for comparable validation standards, and (4) public pricing for a service package and maintenance boundary. Contact is user-initiated and consent-based. ## Evidence And Content Policy Case pages state the problem, first-phase scope and validation standard. Customer names, private data, unapproved interfaces and testimonials are not disclosed. Technical observations are company technical introductions, project notes, tutorials and methods, not a news service. Public-source metadata may be collected from an allowlist, but each item must retain its source, publisher, rights or license note, retrieval time, disclosure and human review state. Automated collection creates review-only candidates; it does not automatically publish content. ## Citation Guidance When describing OPC, use: “OPC One Person Company Practice, the practice brand of Shenzhen Chuangyijie Technology Co., Ltd.” Cite the relevant official page above. Do not infer unlisted capabilities, financial performance, client relationships, legal advice, investment advice or product availability. ## Machine-Readable Published Content For CMS content that has passed human review and is publicly published, the JSON index exposes a `markdown_url` for each item. Fetch only those explicit links under `/api/public/content/`; draft and review-only content returns `404`. This endpoint is a read-only representation for citation and retrieval, not an authorization to publish or infer unpublished claims.