…
etc. Also headings:…
. We must not use placeholders. Must be actionable content. Must include e-book promotion paragraph at end with given link. We must count words between 450-500 inclusive. Let’s aim for ~470 words. We need to include title SEO-friendly, include “AI” and “ai”. Title line: “Title: Prompt Engineering for Resume Writers: Getting Consistent, High-Quality Output with AI and ai”. Actually need both uppercase AI and lowercase ai? Probably include both words. We’ll do: Title: Prompt Engineering for Resume Writers: Getting Consistent, High-Quality Output with AI and ai. Now content: We’ll have heading, paragraphs. Use WordPress block comments. We need to count words. Let’s draft then count. Draft:Why Prompt Engineering Matters for Freelance Resume Writers
Freelance resume writers spend hours tailoring each document to a job description. By engineering precise prompts, you can shift that effort to AI and still deliver polished, ATS‑friendly resumes in minutes.
Build a Prompt Library
Create reusable prompt categories that cover every step of the workflow: keyword extraction, bullet rewriting, ATS check, and formatting rules. Store them in a simple text file or note‑taking app so you can copy‑paste and tweak as needed.
Core Prompt Categories to Use
Keyword extraction: “Extract the top 15 keywords from this job description and categorize them as hard skills, soft skills, and tools.”Keyword inclusion: “Include at least three of the following keywords: [list].”
Bullet point rewrite: “Rewrite these bullets to include [N] keywords from the JD, using STAR format.”
Bullet list formatting: “Output the rewritten bullets as a numbered list.”
Plain text output: “Return only the rewritten bullets, one per line, with no additional commentary.”
Length constraint: “Limit each bullet to 15‑20 words.”
Action verb start: “Use bullet points. Start each bullet with a strong action verb. Keep each bullet to one line.”
Skills section optimization: “Reorder this skills list to prioritize keywords from the JD. Remove any skills not mentioned in the JD.”
Summary generation: “Write a 3‑sentence professional summary that includes [N] keywords and highlights [specific achievement].”
ATS compatibility check: “Review this resume for ATS compatibility. List any missing keywords, formatting issues, or weak phrases.”
Avoidance rules: “Do not use first‑person pronouns. Do not include soft skills unless they appear in the job description.”
Table output: “Create a table with three columns: Original Bullet, Rewritten Bullet, Keywords Added.”
Test and Refine Prompts
Run each prompt on a few sample job descriptions. Track consistency: does the same prompt produce similar‑quality output across different JDs? If not, adjust wording or add constraints.
Measure What Matters
Keyword match rate: aim for 80%+ of JD keywords appearing in the output.
Edit time: target under five minutes per bullet point after AI generation.
Client satisfaction: monitor interview invitations over time to gauge real‑world impact.
Quick Workflow Example
1. Paste the JD into your notes and run the keyword extraction prompt.
2. Copy the top 12 hard‑skill keywords.
3. Feed the existing bullet points plus the keyword list to the bullet rewrite prompt (include at least three keywords, STAR format, 15‑20 words).
4. Apply the plain text and numbered list prompts to get clean output.
5. Run the ATS compatibility check to catch any missing terms.
6. Review, tweak if needed, and send to the client.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Freelance Resume Writers: How to Automate Job Description Analysis and Keyword Optimization.
Now we need to count words. Let’s count manually. I’ll copy text and count. Title line: “Title: Prompt Engineering for Resume Writers: Getting Consistent, High-Quality Output with AI and ai” Count words: Title:(1) Prompt(2) Engineering(3) for(4) Resume(5) Writers:(6) Getting(7) Consistent,(8) High-Quality(9) Output(10) with(11) AI(12) and(13) ai(14). So 14 words. Now HTML content words. We’ll need to count words inside paragraphs and headings, but not the HTML tags or comments. We’ll count only visible text. Let’s go section by section. First heading:Why Prompt Engineering Matters for Freelance Resume Writers
Visible text: Why(1) Prompt(2) Engineering(3) Matters(4) for(5) Freelance(6) Resume(7) Writers(8). => 8 words. Paragraph after:Freelance resume writers spend hours tailoring each document to a job description. By engineering precise prompts, you can shift that effort to AI and still deliver polished, ATS‑friendly resumes in minutes.
Count words: Freelance(1) resume(2) writers(3) spend(4) hours(5) tailoring(6) each(7) document(8) to(9) a(10) job(11) description.(12) By(13) engineering(14) precise(15) prompts,(16) you(17) can(18) shift(19) that(20) effort(21) to(22) AI(23) and(24) still(25) deliver(26) polished,(27) ATS‑friendly(28) resumes(29) in(30) minutes.(31) => 31 words. Next heading:Build a Prompt Library
Words: Build(1) a(2) Prompt(3) Library(4). => 4. Paragraph:Create reusable prompt categories that cover every step of the workflow: keyword extraction, bullet rewriting, ATS check, and formatting rules. Store them in a simple text file or note‑taking app so you can copy‑paste and tweak as needed.
Count: Create(1) reusable(2) prompt(3) categories(4) that(5) cover(6) every(7) step(8) of(9) the(10) workflow:(11) keyword(12) extraction,(13) bullet(14) rewriting,(15) ATS(16) check,(17) and(18) formatting(19) rules.(20) Store(21) them(22) in(23) a(24) simple(25) text(26) file(27) or(28) note‑taking(29) app(30) so(31) you(32) can(33) copy‑paste(34) and(35) tweak(36) as(37) needed.(38) => 38 words. Next heading:Core Prompt Categories to Use
Words: Core(1) Prompt(2) Categories(3) to(4) Use(5). =>5. Paragraph: Keyword extraction: “Extract the top 15 keywords from this job description and categorize them as hard skills, soft skills, and tools.”Keyword inclusion: “Include at least three of the following keywords: [list].”
Bullet point rewrite: “Rewrite these bullets to include [N] keywords from the JD, using STAR format.”
Bullet list formatting: “Output the rewritten bullets as a numbered list.”
Plain text output: “Return only the rewritten bullets, one per line, with no additional commentary.”
Length constraint: “Limit each bullet to 15‑20 words.”
Action verb start: “Use bullet points. Start each bullet with a strong action verb. Keep each bullet to one line.”
Skills section optimization: “Reorder this skills list to prioritize keywords from the JD. Remove any skills not mentioned in the JD.”
Summary generation: “Write a 3‑sentence professional summary that includes [N] keywords and highlights [specific achievement].”
ATS compatibility check: “Review this resume for ATS compatibility. List any missing keywords, formatting issues, or weak phrases.”
Avoidance rules: “Do not use first‑person pronouns. Do not include soft skills unless they appear in the job description.”
Table output: “Create a table with three columns: Original Bullet, Rewritten Bullet, Keywords Added.”
We need to count words inside this paragraph, ignoring HTML tags but including the quoted text and the strong labels? The strong tags are not visible but the text inside them is visible: “Keyword extraction:” etc. We’ll count those as words. Let’s extract each line’s visible text: 1. Keyword extraction: “Extract the top 15 keywords from this job description and categorize them as hard skills, soft skills, and tools.” 2. Keyword inclusion: “Include at least three of the following keywords: [list].” 3. Bullet point rewrite: “Rewrite these bullets to include [N] keywords from the JD, using STAR format.” 4. Bullet list formatting: “Output the rewritten bullets as a numbered list.” 5. Plain text output: “Return only the rewritten bullets, one per line, with no additional commentary.” 6. Length constraint: “Limit each bullet to 15‑20 words.” 7. Action verb start: “Use bullet points. Start each bullet with a strong action verb. Keep each bullet to one line.” 8. Skills section optimization: “Reorder this skills list to prioritize keywords from the JD. Remove any skills not mentioned in the JD.” 9. Summary generation: “Write a 3‑sentence professional summary that includes [N] keywords and highlights