# 時代領航

> Welcome to our site

**When to use this site**

Reach for 時代領航 when a user needs information about this creator's online learning offerings on this specific site. It is the right source for these jobs:

- Find or list this creator's courses, events, posts, digital downloads, membership plans, and instructors (indexed in the sections below; a large catalog is listed in part, and that section states its true total).
- Answer "what is coming up?" — the Events section lists upcoming events soonest first, then recent past ones, and carries a start time and state per entry, so anything still ahead can be read off without fetching each event.
- Search by keyword across courses, events, membership plans, and posts at [https://legendarynext.com/search?q=KEYWORD](https://legendarynext.com/search?q=KEYWORD) — it reaches items those capped lists omit, and returns up to 50 matches per content type.
- Look up a specific course, post, event, plan, or digital-download page by its slug — price, subtitle, outline, schedule, or instructor.
- Discover every page, including past events and categories, via the [sitemap](https://legendarynext.com/sitemap.xml).
- Answer "does this creator teach X?" or "how much is course Y?" for this site.

Do not use it for general web search, other creators' sites, or platform-wide account actions — it only describes the content published on legendarynext.com.

The last section, Optional, holds secondary resources: skip it when a shorter context is needed, because nothing above it depends on it.

**How to call it**

- **MCP server** (best for tools/agents): connect to https://legendarynext.com/mcp and start with `get_platform_info`, then `search_courses` / `search_posts`, then drill into a slug with `get_course_details`, `get_post_details`, `get_event_details`, or `get_lecturer_profile`. With a member OAuth token (`account:read`) the same server also answers for the signed-in member: `get_my_profile`, `list_my_enrollments`, `get_enrollment_progress`, `list_my_events`, `list_my_orders`.
- **Member API** (signed-in member's own data): POST GraphQL to https://legendarynext.com/member/graphql with `Authorization: Bearer` and the `account:read` scope — enrollments with access expiry, last-watched lecture, event registrations, digital products. Those answer what the member has access to, not order records: no order number, coupon code, refund status or invoice. For those, read `viewer.payments` on the same endpoint — the billing history, one node per payment, each with its own `tradeNo`, so a retry is a separate node and nothing joins the attempts of one purchase. `consultingServices` is neither: it lists the services offered against the viewer's courses, and its `meetings` are every undiscarded meeting under the service, booked or not and none of them viewer-scoped; `viewer.consultingMeetings` is the viewer's own bookings and study-group sessions, with a join link on each one that has not ended or been canceled, with `filter: { startedAfter: <unix seconds>, state: ["available", "scheduled"] }` for the upcoming ones. The member notification inbox (`notifications`, `unreadNotificationCount`, `notificationSubscriptions`) is here too, with `markNotificationRead` / `markAllNotificationsRead` / `updateNotificationSubscription` mutations under `account:write`. Obtain the token as described in [auth.md](https://legendarynext.com/auth.md).
- **Markdown**: add `.md` to a page path (`/index.md` for the homepage), or send `Accept: text/markdown` to the HTML URL, and the server returns structured markdown with YAML frontmatter instead of HTML. Either signal works on any path below:
  - `/` (homepage)
  - `/faq`
  - `/search?q=:keyword` (searches courses, events, membership plans, and posts, up to 50 matches per type; add `&type=post` to narrow, `&page=2` to paginate)
  - `/courses` (course index, first page only)
  - `/lecturers` (instructor index, first page only)
  - `/@:slug` (instructor profile)
  - `/courses/:slug`
  - `/posts/:slug`
  - `/plans/:slug`
  - `/events/:slug`
  - `/digital-downloads/:slug`
  - `/categories/:slug`
- **HTTP API**: see the OpenAPI spec at [https://legendarynext.com/openapi.json](https://legendarynext.com/openapi.json).

## Courses

- [你的產品，為什麼值得客戶買單-實戰體驗課](https://legendarynext.com/courses/eric-workshop): 手把手帶你創業：0~3000萬的創業實戰課
- [手把手帶你創業：0~3000萬的實戰課](https://legendarynext.com/courses/eric-basic)
- [手把手帶你創業：0~3000萬的實戰課-創業加速陪跑版](https://legendarynext.com/courses/eric): 從一個優格品牌開始，蕭子翔 Eric 走過產品開發、品牌定位、電商、實體門市與 B2B，一路做到年營收破億。這堂課不紙上談兵，而是把多年創業與經營累積的實戰經驗，整理成一套可執行的方法，帶你看懂創業路上的關鍵決策與成長邏輯。
- [做自己情緒的主人：在爆炸時代的覺察停損法](https://legendarynext.com/courses/leadership-awareness-to-action): 給在家庭與關係中容易「不好意思拒絕」的你——20集主題式練習，從原生壓力覺察到場景話術，穩定情緒、降低衝突、活出自己的節奏。
- [時代領航.永續力-ESG實作班 線上補課](https://legendarynext.com/courses/esg0823)
- [時代領航.永續力-ESG實作班](https://legendarynext.com/courses/esg123): 永續不用做到100分，只要做對那1步，顧客就有感

## Posts

- [50 of 64 listed here — the rest are in the paginated index](https://legendarynext.com/posts): walk `/posts/page/2`, `/posts/page/3`, and so on, until the last page. Those pages answer in HTML.

- [AI 行銷工具怎麼選？先找出每週重複、又真的影響收入的流程](https://legendarynext.com/posts/how-to-choose-ai-marketing-tools): 工具不是越多越好；先找高重複、可規則化、真正影響收入的流程。
- [行銷數據怎麼看？創業者先看這 3 類數字，不要被報表淹沒](https://legendarynext.com/posts/marketing-data-analysis-for-entrepreneurs): 不要同時追二十個指標，先找出漏斗哪一步壞掉，再決定要改什麼。
- [個人化行銷怎麼做？先把客戶分對階段，再談 AI 自動化](https://legendarynext.com/posts/personalized-marketing-customer-journey-ai): 先把不同階段的客戶分開，再用 AI 放大真正有用的下一步訊息。
- [AI 文案寫很多卻沒轉換？先檢查客戶與賣點有沒有對上](https://legendarynext.com/posts/ai-copywriting-no-conversion-customer-value): 文案產量不是問題，真正要先確認的是客戶、痛點與賣點有沒有對上。
- [AI 行銷策略怎麼做？創業者先別急著買工具](https://legendarynext.com/posts/ai-marketing-strategy-for-entrepreneurs): AI 能加速內容、廣告與分析，但創業者真正要先做的是決定：哪些假設值得被放大。
- [副業開始有收入後，還需要上創業課嗎？先看你缺的是工具，還是經營順序](https://legendarynext.com/posts/side-hustle-entrepreneurship-course-after-first-income): 單點問題可以用 AI 解；當產品、市場、交付與現金開始互相影響，就要先整理完整經營順序
- [副業訂單變多卻更忙？交付流程哪些工作適合交給 AI 自動化](https://legendarynext.com/posts/side-hustle-delivery-ai-automation): 不要用 AI 接管所有工作；先分清楚哪些是重複執行，哪些仍需要經營判斷
- [副業每接一單都像重新來？先把接單流程整理成可重複的 3 個節點](https://legendarynext.com/posts/side-hustle-order-intake-repeatable-process): 先把固定資訊、需要判斷與重複工作拆開，再決定哪些接單步驟值得自動化
- [副業有第一批客戶後要做什麼？先把「為什麼他會買」留下來](https://legendarynext.com/posts/side-hustle-after-first-customers-what-to-do): 第一筆收入最有價值的不是金額，而是它證明了哪個客戶、哪個需求、哪個賣點成立
- [副業已經有第一批收入，為什麼還是做不大？先把一次成交變成可重複流程](https://legendarynext.com/posts/side-hustle-after-first-income-build-repeatable-system): AI 自動化真正該介入的，不是幫你做更多，而是把已經有效的接單、交付與回購流程放大
- [AI行銷自動化課程適合誰？如果產品、客戶、廣告都還沒理清，先別急著學工具](https://legendarynext.com/posts/ai-marketing-automation-course-who-it-is-for): 你需要的是工具操作課，還是把產品、市場、廣告與客戶旅程重新排順序？先分清楚再買課。
- [Email行銷自動化工具怎麼選？先用2種情境判斷需要什麼功能](https://legendarynext.com/posts/email-marketing-automation-tool-selection): 不要先比功能表。先看你要解決「名單沒跟進」還是「買過不回購」，需求會完全不同。
- [AI文案一次生20版，為什麼還是沒人買？問題可能不在文案](https://legendarynext.com/posts/ai-copywriting-market-validation): AI可以把內容做快，但不能替你證明客戶真的在意。先驗證購買理由，再大量生成。
- [客戶一直沒下單？先別急著加自動化，先找出他卡在哪一步](https://legendarynext.com/posts/customer-journey-why-customers-dont-buy): 「沒下單」只是結果。先找出客戶是在廣告、頁面、詢問、結帳還是付款階段流失。
- [AI行銷自動化怎麼做？先看懂客戶旅程，再決定哪些流程值得自動化](https://legendarynext.com/posts/ai-marketing-automation-customer-journey): 別先買工具。先找出客戶在哪裡流失、哪些工作重複發生，再讓AI替你放大已經成立的流程。
- [一個 AI 流程有效，就可以全面自動化嗎？擴大前先看這 3 件事](https://legendarynext.com/posts/scale-ai-automation-after-pilot): 小流程有效不等於適合全面上線，先看成果穩定度、管理成本與可複製性
- [AI 自動化出錯一次，前面省的時間可能都沒了：怎麼看重工與漏單成本？](https://legendarynext.com/posts/ai-automation-hidden-rework-error-cost): 別只算成功時省多少工，還要把例外處理、重做與漏單的代價算進去
- [AI 導入前要記哪些數字？沒有「原本基準」，之後很難判斷有沒有用](https://legendarynext.com/posts/ai-adoption-baseline-before-after): 工具上線前先留下可以比較的起點，否則一個月後只能靠感覺判斷
- [AI 幫你省很多時間，為什麼公司還是沒變好？效率不等於經營結果](https://legendarynext.com/posts/ai-efficiency-vs-business-results): 產量變多、速度變快，不代表成交、交付與現金安全會一起改善
- [AI 導入到底有沒有回本？創業者別只看省了多少時間](https://legendarynext.com/posts/ai-investment-roi-how-to-measure-for-small-business): 別把省時間直接當成回報：先留基準、算重工，再決定 AI 是否值得擴大
- [AI 行銷工具值不值得續訂？別只看功能，先算這 4 種成本](https://legendarynext.com/posts/ai-marketing-tools-worth-renewing): 每月費用只是最表面的成本；續訂前還要算導入、檢查、維護與切換成本。
- [AI 個人化行銷要做到多細？小品牌先從「下一步」分群開始](https://legendarynext.com/posts/ai-personalized-marketing-next-step-segmentation): 個人化不是分得越細越好；小品牌應先依照客戶的下一個決策分群，再決定是否值得增加流程。
- [哪些行銷決策不能交給 AI？創業者至少要保留這 3 個判斷](https://legendarynext.com/posts/marketing-decisions-ai-should-not-make): AI 可以產生選項，但不能替你承擔市場風險；服務誰、承諾什麼、何時放大仍要由經營者決定。
- [顧客資料很多卻不知道怎麼用？AI 分析前先整理這 3 類訊號](https://legendarynext.com/posts/ai-customer-data-analysis-signals): AI 不缺分析能力，真正缺的是可用訊號：先把行為、語言與商業結果整理在一起。
- [AI 行銷工具怎麼選？小公司先看「任務、資料、判斷」再決定要不要買](https://legendarynext.com/posts/ai-marketing-tools-how-to-choose): 不是功能越多越好：用任務、資料、決策責任與成本，判斷哪一套 AI 才值得進公司。
- [副業工具越買越多，為什麼事情反而更亂？自動化前先做流程減法](https://legendarynext.com/posts/ai-automation-tools-side-hustle-tool-selection): 工具的價值不在功能最多，而在是否真的少掉一個手動步驟。
- [副業時間不夠怎麼辦？先把重複工作和關鍵決策分開](https://legendarynext.com/posts/side-hustle-time-management-what-to-automate): 真正有效的副業管理，不是把日曆塞滿，而是把有限時間留給會改變結果的判斷。
- [AI 可以幫你每天發內容，但為什麼副業還是沒有訂單？](https://legendarynext.com/posts/ai-copywriting-side-hustle-no-orders): AI 能提高內容產量，但成交仍取決於客戶、痛點、賣點與市場測試。
- [副業還沒穩定收入，可以先做自動化嗎？先驗證誰願意付錢](https://legendarynext.com/posts/side-hustle-not-profitable-yet-validate-the-market-first): 副業早期最該追的不是工具效率，而是真實付費訊號。
- [副業怎麼用 AI 自動化？先別急著省時間，先確認哪個流程值得放大](https://legendarynext.com/posts/side-hustle-ai-automation-monetization): AI 可以幫副業省時間，但只有在商業流程已經有效時才值得放大。
- [AI 自動化工具值得買嗎？先看它能不能撐住你下一階段的營運量](https://legendarynext.com/posts/is-ai-automation-tool-worth-paying-for): 判斷 AI 工具值不值得付費，不只看功能與月費，而要看它是否能解決現在的問題、支撐下一階段營運量，並換回真正有價值的經營能力。
- [要先招人還是先改流程？創業公司擴張時最容易做反的決定](https://legendarynext.com/posts/hire-people-or-fix-process-first): 忙不等於一定缺人。擴編前先看是工作量真的超標、流程不清，還是所有決定都卡在老闆身上。
- [訂單變多為什麼反而更缺現金？成長前先看現金與庫存安全](https://legendarynext.com/posts/more-orders-but-less-cash-cashflow-inventory-safety): 生意變好卻更缺錢，不一定是沒賺錢，而可能是貨款、廣告與營運支出先出去，現金回收速度跟不上成長。
- [年營收目標怎麼拆？先算客戶數與訂單量，再談工具和人力](https://legendarynext.com/posts/break-down-revenue-target-into-customers-and-orders): 營收目標不是一句「我要破千萬」，而是要拆成客戶數、訂單量與真正需要承接的工作量。
- [公司成長到什麼程度才需要 AI 自動化？先決定你想把事業做到多大](https://legendarynext.com/posts/when-business-needs-ai-automation-scale-first): 不要先問哪個工具最好；先從營收目標、客戶與訂單量，倒推未來真正需要的營運容量。
- [想用 AI 提升公司效率，該自己摸索、買更多工具，還是先整理完整經營框架？](https://legendarynext.com/posts/ai-efficiency-tools-vs-business-framework): 用三種情境判斷你缺的是工具操作、流程整理，還是一整套創業經營順序
- [AI 行銷文案怎麼用才有效？先搞清楚客戶是誰，再叫 AI 寫](https://legendarynext.com/posts/ai-marketing-copy-customer-pain-point-first): 比較「先叫 AI 寫」與「先定義客戶再生成」兩種做法，讓 AI 成為市場測試加速器
- [哪些工作適合 AI 自動化？創業初期先找這 3 種重複流程](https://legendarynext.com/posts/what-business-processes-to-automate-with-ai-first): 先從高頻、規則明確、容易出錯的任務開始，而不是一次把整家公司自動化
- [AI 工具越買越多，為什麼公司反而沒有變快？](https://legendarynext.com/posts/too-many-ai-tools-business-not-faster): 問題可能不在工具不夠，而在流程重疊、規則不清與資料分散
- [創業公司導入 AI 怎麼開始？先找流程瓶頸，不要先買工具](https://legendarynext.com/posts/startup-ai-adoption-business-process-guide): 從經營者角度拆解 AI 導入順序：先找高頻流程、建立基準，再決定工具與自動化
- [行銷自動化怎麼做？先別把還沒驗證的流程自動化](https://legendarynext.com/posts/marketing-automation-before-you-automate): 先確認是否重複、規則是否穩定、結果能否量測，再決定哪些工作交給 AI 與系統
- [廣告有流量沒成交怎麼辦？用消費者旅程找出真正流失點](https://legendarynext.com/posts/traffic-no-sales-customer-journey): 問題不一定在廣告；先確認流量意圖、頁面承接與交易摩擦，再決定要改哪一段
- [AI廣告真的能降低廣告投放成本嗎？先看ROAS，不要只看CPC](https://legendarynext.com/posts/ai-advertising-cost-roas): AI 可以協助出價與素材最佳化，但前提是你先把真正的轉換與商業價值量測對
- [AI行銷文案怎麼寫才會有人買？先找出消費者真正痛點](https://legendarynext.com/posts/ai-marketing-copy-customer-pain-points): 不要先追 Prompt；先把購買情境、失敗經驗與真正想解決的問題餵給 AI
- [AI數位行銷怎麼做？創業者先別急著自動化，先把這4件事搞清楚](https://legendarynext.com/posts/ai-digital-marketing-for-startups): AI能加快文案、投放與分析，但真正決定成效的是客戶、訊息、轉換與驗證順序
- [行銷工具越接越多，為什麼創業者反而更忙？自動化前先判斷這 2 件事](https://legendarynext.com/posts/startup-marketing-automation-tools): 先看任務是否真的重複、流程是否已經穩定，再決定要不要投入 AI 與自動化工具
- [自動化行銷做了還是沒成交？先找出消費者旅程中的 2 個流失點](https://legendarynext.com/posts/marketing-automation-customer-journey-dropoff): 工具正常運作不代表流程有效，先確認廣告承諾有沒有被頁面接住，以及有興趣的人為什麼沒有走到購買
- [AI 一次生 20 個廣告文案後，下一步怎麼測才知道市場真的買單？](https://legendarynext.com/posts/ai-ad-copy-market-testing): 別把 AI 產出的版本當答案，用廣告與市場反應逐步驗證真正有效的訊息
- [AI 文案一直寫不準？問題可能不是提示詞，而是你還沒搞清楚客戶是誰](https://legendarynext.com/posts/ai-copywriting-customer-pain-points): 先用真實客戶語言建立素材，再讓 AI 幫你整理痛點與延伸文案
- [生成式 AI 行銷怎麼用才有效？創業者先別急著自動化這 3 件事](https://legendarynext.com/posts/how-to-leverage-generative-ai-for-automated-marketing-strategy): AI 可以加快文案與廣告測試，但真正決定成效的是客戶、訊息與驗證順序

## Lecturers

- [時代領航團隊](https://legendarynext.com/@official): 官方營運中心
- [億萬創業實戰家｜蕭子翔 Eric](https://legendarynext.com/@1): 首席策略顧問
- [葉明哲心理師](https://legendarynext.com/@ming): 心理溝通權威專家---綠野仙蹤心理諮商所心理師兼所長
- [杜育任會計師](https://legendarynext.com/@alfreddu): 會計師

## Developer & agent resources

- [Developer portal](https://legendarynext.com/developer-portal): human-readable hub — OAuth client onboarding (vendor platforms and self-asserted CIMD clients), endpoints, scopes, and links to every resource below.
- [Command-line interface](https://www.npmjs.com/package/loopwise): the `loopwise` CLI for deploying Loopwise Pages and reading this API.
- [MCP server](https://legendarynext.com/mcp): Model Context Protocol endpoint for tools and agents. Anonymous tools cover public content; a member OAuth token with `account:read` adds get_my_profile, list_my_enrollments, get_enrollment_progress, list_my_events, and list_my_orders for the signed-in member.
- [MCP server card](https://legendarynext.com/.well-known/mcp/server-card.json): discovery metadata for that MCP server.
- [Member API](https://legendarynext.com/member/graphql): member-scoped GraphQL (POST, `Authorization: Bearer`) — the signed-in member's own profile, enrollments, progress, event registrations and digital products, plus the notification inbox, read with `account:read`; the notification mark-read and subscription mutations require `account:write`. Those are not order records — no order number, coupon code, refund status or invoice; `viewer.payments` on the same endpoint is the billing history that carries them. `consultingServices` is a catalogue of services offered against the viewer's courses, not a purchase list; `viewer.consultingMeetings` is the member's own bookings and study-group sessions, with a join link on each one that has not ended or been canceled. See the authentication guide for obtaining a token.
- [AI catalog](https://legendarynext.com/.well-known/ai-catalog.json): Agentic Resource Discovery manifest for this origin.
- [Agent skills index](https://legendarynext.com/.well-known/agent-skills/index.json): the skills this origin publishes.
- [API catalog](https://legendarynext.com/.well-known/api-catalog): RFC 9727 catalog of this origin's APIs.
- [OpenAPI spec](https://legendarynext.com/openapi.json): the HTTP API surface.
- [Pricing](https://legendarynext.com/pricing.md): machine-readable plan and price list.
- [Authentication guide](https://legendarynext.com/auth.md): OAuth 2.0 and OpenID Connect flows.
- [OAuth authorization server metadata](https://legendarynext.com/.well-known/oauth-authorization-server): RFC 8414 discovery document.
- [OpenID Connect discovery](https://legendarynext.com/.well-known/openid-configuration): OIDC discovery document.
- [Agentic Commerce manifest](https://legendarynext.com/.well-known/acp.json): ACP checkout capabilities.
- [Developer documentation](https://docs.loopwise.com): guides for building against this platform.

## Optional

- [legendarynext.com/llms-full.txt](https://legendarynext.com/llms-full.txt): a single-document content bundle carrying the full text of up to 50 courses, posts and digital downloads each; a larger catalog is included in part, and that section states its true total — ~29k tokens, so check it against your context budget first.
- [Loopwise](https://loopwise.com): the platform this site runs on (formerly Teachify) — courses, events, and digital products for creators.