{"product_id":"luma-guide","title":"Luma Guide","description":"\u003cdiv class=\"text-base my-auto mx-auto [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv data-conversation-screenshot-content=\"\" class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"ec5fa0a9-06ea-4a34-8e8c-012a590e101a\" dir=\"auto\" data-message-model-slug=\"gpt-5-5-thinking\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e1. Problem Statement\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003eAfter the first introduction to AI automation, many learners ask how to connect that knowledge with real work tasks. A person may understand separate terms but still not see the full structure of a workflow. Because of this, it can be difficult to decide which actions can be organized, which steps should remain manual, and which parts can be described for an automated scenario. Another common challenge is unclear prompting, which may lead to AI responses that are incomplete or not well matched to the task. Luma Guide helps organize the first learning steps and shape a more structured approach to working with processes.\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e2. Solution\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003eLuma Guide presents AI automation through a clear sequence: task, context, steps, logic, and review. The course shows how to describe workflows without unnecessary complexity and how to notice where repeated actions can be better organized. You will learn how to create simple task maps, write prompts with clear context, and review whether the result matches the original goal. The materials do not rely on names of third-party programs, so the focus stays on thinking logic and process structure. This tier works well as the next step after Free Pathway for learners who want to study the basic principles in more detail.\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e3. What’s Inside\n\u003cul data-start=\"5654\" data-end=\"6547\"\u003e\n\u003cli data-section-id=\"ms9w3j\" data-start=\"5654\" data-end=\"5779\"\u003e\n\u003cstrong data-start=\"5656\" data-end=\"5686\"\u003eModule 1: Workflow Reading\u003c\/strong\u003e — how to read a workflow as a sequence of actions rather than a set of disconnected tasks.\u003c\/li\u003e\n\u003cli data-section-id=\"1udcxpl\" data-start=\"5780\" data-end=\"5907\"\u003e\n\u003cstrong data-start=\"5782\" data-end=\"5811\"\u003eModule 2: Context Builder\u003c\/strong\u003e — how to add a goal, conditions, role, response format, and important boundaries to a prompt.\u003c\/li\u003e\n\u003cli data-section-id=\"1im8np7\" data-start=\"5908\" data-end=\"6047\"\u003e\n\u003cstrong data-start=\"5910\" data-end=\"5936\"\u003eModule 3: Task Sorting\u003c\/strong\u003e — how to separate tasks into informational, repeated, creative, review-based, and organizational categories.\u003c\/li\u003e\n\u003cli data-section-id=\"m54jzd\" data-start=\"6048\" data-end=\"6192\"\u003e\n\u003cstrong data-start=\"6050\" data-end=\"6084\"\u003eModule 4: Prompt Structure Map\u003c\/strong\u003e — how to build prompts using a structure: situation, task, details, desired format, and clarifying notes.\u003c\/li\u003e\n\u003cli data-section-id=\"ouwfym\" data-start=\"6193\" data-end=\"6307\"\u003e\n\u003cstrong data-start=\"6195\" data-end=\"6222\"\u003eModule 5: Process Notes\u003c\/strong\u003e — how to keep short notes for a workflow so the logic stays clear during learning.\u003c\/li\u003e\n\u003cli data-section-id=\"vj2qkm\" data-start=\"6308\" data-end=\"6425\"\u003e\n\u003cstrong data-start=\"6310\" data-end=\"6337\"\u003eModule 6: Output Review\u003c\/strong\u003e — how to review AI responses by content, structure, completeness, and task relevance.\u003c\/li\u003e\n\u003cli data-section-id=\"58iy0t\" data-start=\"6426\" data-end=\"6547\"\u003e\n\u003cstrong data-start=\"6428\" data-end=\"6468\"\u003eModule 7: Simple Automation Scenario\u003c\/strong\u003e — how to describe a simple learning automation scenario from beginning to end.\u003c\/li\u003e\n\u003c\/ul\u003e\n4. Who is this for?\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e✅ \u003cstrong data-start=\"6575\" data-end=\"6599\"\u003eA good fit if you...\u003c\/strong\u003e\n\u003cul data-start=\"6601\" data-end=\"6973\"\u003e\n\u003cli data-section-id=\"hvzq69\" data-start=\"6601\" data-end=\"6691\"\u003ehave completed an introductory material or already have a basic idea of AI automation;\u003c\/li\u003e\n\u003cli data-section-id=\"zy5f7h\" data-start=\"6692\" data-end=\"6739\"\u003ewant to describe tasks for AI more clearly;\u003c\/li\u003e\n\u003cli data-section-id=\"1fd8hpu\" data-start=\"6740\" data-end=\"6828\"\u003ewant to see a process as a sequence of steps rather than a scattered set of actions;\u003c\/li\u003e\n\u003cli data-section-id=\"14742kh\" data-start=\"6829\" data-end=\"6896\"\u003eprefer working with examples, diagrams, and learning exercises;\u003c\/li\u003e\n\u003cli data-section-id=\"842tj5\" data-start=\"6897\" data-end=\"6973\"\u003eare looking for a tier that strengthens basic logic before broader topics.\u003c\/li\u003e\n\u003c\/ul\u003e\n❌ \u003cstrong data-start=\"6977\" data-end=\"6998\"\u003eNot for you if...\u003c\/strong\u003e\n\u003cul data-start=\"7000\" data-end=\"7300\"\u003e\n\u003cli data-section-id=\"aoxts0\" data-start=\"7000\" data-end=\"7068\"\u003eyou need complex technical scenarios with deep technical detail;\u003c\/li\u003e\n\u003cli data-section-id=\"zaolwe\" data-start=\"7069\" data-end=\"7149\"\u003eyou are looking for narrow training around one specific third-party program;\u003c\/li\u003e\n\u003cli data-section-id=\"fdp8j8\" data-start=\"7150\" data-end=\"7219\"\u003eyou do not plan to complete the learning exercises independently;\u003c\/li\u003e\n\u003cli data-section-id=\"1ai4514\" data-start=\"7220\" data-end=\"7300\"\u003eyou already create large automation systems and only want advanced structures.\u003c\/li\u003e\n\u003c\/ul\u003e\n5. What You’ll Learn\n\u003cul data-start=\"7327\" data-end=\"7751\"\u003e\n\u003cli data-section-id=\"17pxid0\" data-start=\"7327\" data-end=\"7377\"\u003ehow to analyze a task before writing a prompt;\u003c\/li\u003e\n\u003cli data-section-id=\"5i2c46\" data-start=\"7378\" data-end=\"7425\"\u003ehow to prepare context for working with AI;\u003c\/li\u003e\n\u003cli data-section-id=\"1rtbb93\" data-start=\"7426\" data-end=\"7484\"\u003ehow to divide a process into stages and smaller tasks;\u003c\/li\u003e\n\u003cli data-section-id=\"49fx3a\" data-start=\"7485\" data-end=\"7534\"\u003ehow to notice repeated actions in daily work;\u003c\/li\u003e\n\u003cli data-section-id=\"f974zg\" data-start=\"7535\" data-end=\"7575\"\u003ehow to create a simple workflow map;\u003c\/li\u003e\n\u003cli data-section-id=\"1oetyc6\" data-start=\"7576\" data-end=\"7632\"\u003ehow to review AI responses by content and structure;\u003c\/li\u003e\n\u003cli data-section-id=\"1d569jt\" data-start=\"7633\" data-end=\"7704\"\u003ehow to describe a basic automation scenario for a learning example;\u003c\/li\u003e\n\u003cli data-section-id=\"1cpv99x\" data-start=\"7705\" data-end=\"7751\"\u003ehow to prepare for broader Nexomatara tiers.\u003c\/li\u003e\n\u003c\/ul\u003e\n6. Review Terms\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003eLuma Guide is a foundational learning tier created to develop an initial understanding of AI automation. It does not include claims about specific personal, career, or financial outcomes. The materials are intended for independent learning, careful review of examples, and gradual skill development. Learning outcomes depend on your participation, topic review, and completion of exercises.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nexomatara","offers":[{"title":"Default Title","offer_id":56843535647100,"sku":null,"price":65.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0957\/4839\/1292\/files\/luma.jpg?v=1780652638","url":"https:\/\/nexomatara.net\/products\/luma-guide","provider":"Nexomatara","version":"1.0","type":"link"}