…
)”. So we need to include those comments? Likely yes. We need to produce content with those WP block comments. We must count words between 450-500 inclusive. Let’s aim for ~470 words. We need to include title line: “Title: …” then newline then HTML content. Title must be SEO-friendly, include “AI” and “ai”. Eg: “AI-Powered Lesson Planning for Language Tutors: Automate ai-Driven Content”. Ensure includes both uppercase AI and lowercase ai. Then start HTML content. Probably start with… etc. But they said plain HTML paragraphs and headings (e.g.,
…
). So we need to include those comment wrappers for each block. We’ll produce sections: Introduction, Prompt Templates with Level Variables, Using AI to Re-level Existing Materials, Building Level-Specific Rubrics, Checklist examples (Beginner, Intermediate, Advanced), Concrete example prompt, Conclusion, then promo paragraph. We need to embed facts from e-book: the bullet points etc. Use them. We must not use placeholders. Must be actionable. Now count words. We’ll draft then count. Let’s draft content. Title line: “Title: AI-Powered Lesson Planning for Language Tutors: Automate ai-Driven Content” Now HTML. We’ll start withIntroduction
then paragraph. We need to ensure each paragraph is wrapped with…
. Let’s write. I’ll draft then count words. Draft:Introduction
Independent language tutors spend hours crafting lesson plans that match each student’s proficiency and interests. AI can cut that time by generating level‑appropriate activities, vocabulary lists, and assessment criteria in seconds.
1. Prompt Templates with Level Variables
Create a master prompt that inserts placeholders for CEFR level, topic, and learner goals. Example:
Generate a 45‑minute lesson for a [LEVEL] student interested in [TOPIC]. Include warm‑up, input, practice, and production stages, plus a short homework task.
Replace [LEVEL] with A2, B2, or C1 and [TOPIC] with the student’s hobby or profession. The AI then outputs a ready‑to‑use plan.
2. Use AI to Re‑level Existing Materials
Take a textbook article or video transcript and ask the AI to simplify or expand it.
Prompt: “Rewrite this B1 reading passage for an A2 learner, keeping the core information but reducing sentence length to 12 words max and adding three glossed words.”
For advanced learners, request: “Add two complex sentence structures, five collocations, and a counter‑argument paragraph to this C1 text.”
3. Build Level‑Specific Rubrics Into AI Output
Instruct the AI to attach a rubric that matches the CEFR descriptors.
Prompt addition: “Provide a three‑criterion rubric (task completion, language accuracy, fluency) with descriptors for [LEVEL] and a 0‑4 scoring scale.”
The rubric can be copied directly into Google Forms or a PDF for instant feedback.
Checklists to Feed the AI
Use these checklists as level‑specific instructions after the base prompt.
Beginner Checklist (A2)
‑ 15+ new vocabulary items including 5 collocations.
‑ Short dictation passage (50‑70 words).
‑ Error‑correction spot: 3 intentional mistakes for student to fix.
‑ Audio speed ≤ 120 wpm if using TTS.
Intermediate Checklist (B2)
‑ 8‑12 new vocabulary items, each with a contextual sentence.
‑ A short argument with counterargument.
‑ Analytical question (e.g., “How does the author’s tone influence the message?”).
‑ Error‑correction spot: 3 intentional mistakes.
Advanced Checklist (C1)
‑ 15+ new vocabulary items including 5 collocations.
‑ A short argument with counterargument.
‑ An analytical question (e.g., “How does the author’s tone influence the message?”).
‑ Audio speed ≤ 120 wpm.
‑ Error‑correction spot: 3 intentional mistakes.
Concrete Example Prompt
Base prompt: “Generate a 45‑minute lesson for a [LEVEL] student interested in [TOPIC].”
Append B2 checklist: “Include 8‑12 new vocabulary items with contextual sentences, a short argument with counterargument, an analytical question, and three error‑correction spots.”
Result: The AI returns a full lesson plan, vocabulary list, rubric, and ready‑to‑print materials tailored to the B2 learner’s interest in, say, sustainable travel.
Putting It All Together
1. Write your base prompt with level and topic variables.
2. Append the appropriate checklist.
3. Run the prompt through your preferred AI (GPT‑4, Claude, etc.).
4. Review the output, copy the rubric, and export any audio or text files.
5. Save the template for future reuse—just swap the level or topic.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Independent Language Tutors: How to Automate Lesson Plan Creation Based on Student Level and Interests.
Now we need to count words. Let’s count manually. We’ll count words in the entire article after the title line? The title line likely counts as words too. We need total 450-500 words. Let’s count. I’ll copy the text and count. Title line: “Title: AI-Powered Lesson Planning for Language Tutors: Automate ai-Driven Content” Count words: Title:(1) AI-Powered(2) Lesson(3) Planning(4) for(5) Language(6) Tutors:(7) Automate(8) ai-Driven(9) Content(10). So 10 words. Now we need to count all words in HTML content, including inside tags? Usually words inside tags count as well. We’ll count everything after the title line, including the HTML comments and tags? The instruction: “Write a concise 450-500 word WordPress blog post in HTML format”. Likely they want the visible content words, not the markup. But safer to count visible words only (the actual readable text). However the HTML comments and tags are not visible. We’ll count only the text insideand headings etc. Let’s do that. We’ll extract visible text. I’ll rewrite visible sections: Introduction: “Independent language tutors spend hours crafting lesson plans that match each student’s proficiency and interests. AI can cut that time by generating level‑appropriate activities, vocabulary lists, and assessment criteria in seconds.” 1. Prompt Templates with Level Variables: “Create a master prompt that inserts placeholders for CEFR level, topic, and learner goals. Example:” “Generate a 45‑minute lesson for a [LEVEL] student interested in [TOPIC]. Include warm‑up, input, practice, and production stages, plus a short homework task.” “Replace [LEVEL] with A2, B2, or C1 and [TOPIC] with the student’s hobby or profession. The AI then outputs a ready‑to‑use plan.” 2. Use AI to Re‑level Existing Materials: “Take a textbook article or video transcript and ask the AI to simplify or expand it.” “Prompt: “Rewrite this B1 reading passage for an A2 learner, keeping the core information but reducing sentence length to 12 words max and adding three glossed words.”” “For advanced learners, request: “Add two complex sentence structures, five collocations, and a counter‑argument paragraph to this C1 text.”” 3. Build Level‑Specific Rubrics Into AI Output: “Instruct the AI to attach a rubric that matches the CEFR descriptors.” “Prompt addition: “Provide a three‑criterion rubric (task completion, language accuracy, fluency) with descriptors for [LEVEL] and a 0‑4 scoring scale.”” “The rubric can be copied directly into Google Forms or a PDF for instant feedback.” Checklists to Feed the AI: “Use these checklists as level‑specific instructions after the base prompt.” Beginner Checklist (A2): “‑ 15+ new vocabulary items including 5 collocations. ‑ Short dictation passage (50‑70 words). ‑ Error‑correction spot: 3 intentional mistakes for student to fix. ‑ Audio speed ≤ 120 wpm if using TTS.” Intermediate Checklist (B2): “‑ 8‑12 new vocabulary items, each with a contextual sentence. ‑ A short argument with counterargument. ‑ Analytical question (e.g., “How does the author’s tone influence the message?”). ‑ Error‑correction spot: 3 intentional mistakes.” Advanced Checklist (C1): “‑ 15+ new vocabulary items including 5 collocations. ‑ A short argument with counterargument. ‑ An analytical question (e.g., “How does the author’s tone influence the message?”). ‑ Audio speed ≤ 120 wpm. ‑ Error‑correction spot: 3 intentional mistakes.” Concrete Example Prompt: “Base prompt: “Generate a 45‑minute lesson for a [LEVEL] student interested in [TOPIC].”” “Append B2 checklist: “Include 8‑12 new vocabulary items with contextual sentences, a short argument with counterargument, an analytical question, and three error‑correction spots.”” “Result: The AI returns a full lesson plan, vocabulary list, rubric, and ready‑to‑print materials tailored to the B2 learner’s interest in, say, sustainable travel.” Putting It All Together: “1. Write your base prompt with level and topic variables. 2. Append the appropriate checklist. 3. Run the prompt through your preferred AI (GPT‑4, Claude, etc.). 4. Review the output, copy