…
). Title line: “Title: …” then newline newline then HTML content. We must not use placeholders like {Programming_Language}. Must write complete actionable content. Must include e-book promotion paragraph at end exactly as given. We need to count words. Let’s draft about 470 words. We need to ensure we count words correctly. Let’s draft then count. We need to include headings: maybe h2, h3 etc. Use HTML comments for wp blocks? The requirement: “write as plain HTML paragraphs and headings (e.g.,…
)”. So we need to wrap each paragraph in that comment block? Probably yes. Use that format for each paragraph. Also headings likely similar:…
. We’ll produce: Then blank line. Then HTML. Let’s craft. Paragraph 1 intro. Paragraph 2 about breaking down complex operations. Paragraph 3 about checklist accuracy etc. Paragraph 4 about strong structured prompt example. Paragraph 5 about weak prompt pitfalls. Paragraph 6 about best practices for testing and safety. Paragraph 7 conclusion / call to action. Then e-book promo paragraph. We need to ensure total words 450-500. Let’s write and count. I’ll write content then count manually. Draft: Title: The First Prompt: Instructing AI to Generate Accurate Code ExamplesFreelance technical writers who work with API/SaaS products can save hours by letting AI generate code snippets and keep documentation in sync. The key is a well‑crafted first prompt that tells the model exactly what to produce.
Start by breaking a complex operation into sequential steps instead of asking for one monolithic example. For instance, if you need to show how to create a resource, retrieve it, update it, and delete it, ask the AI for each step in its own prompt. This makes the output easier to verify and reduces the chance of hallucinated details.
Use the following checklist to judge every snippet the AI returns:
- Accuracy – endpoint path, HTTP method, and parameter names must match the official API spec.
- Clarity – variable and function names should be intuitive so a developer new to the API can grasp the purpose instantly.
- Placeholders – replace any secret values (API keys, tokens, passwords) with obvious placeholders like
YOUR_API_KEY. - Runability – copy the code into a sandbox such as Replit, CodePen, or a local script and verify it runs without syntax errors.
- Safety – ensure the snippet avoids insecure practices like hardcoded credentials or disabling SSL verification.
A strong, structured prompt looks like this:
Task: Create a Python code snippet that makes a POST request to the endpoint: https://api.example.com/v1/projects.
Authentication: Bearer token. Use placeholder: YOUR_TOKEN.
Include error handling: raise an exception for 4xx/5xx status codes and handle connection timeouts.
Return the JSON response.Notice how the prompt specifies language, HTTP method, full endpoint, authentication method, placeholder format, and required error handling. The AI can then produce a focused, usable snippet.
A weak prompt omits these constraints, leading to vague or incorrect output. For example, asking “Show me how to call the API” leaves the model to guess the method, endpoint, and security details, often resulting in hardcoded keys or missing error checks.
After receiving the snippet, run it in a sandbox, compare the endpoint and parameters to the spec, and verify that placeholders are used. If any item fails the checklist, refine the prompt—add missing details or clarify the workflow—and ask again.
By treating the first prompt as a contract, freelance writers can reliably automate code generation and keep documentation up‑to‑date with minimal manual review.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Freelance Technical Writers (API/SaaS): How to Automate Code Snippet Generation and Documentation Updates.
Now count words. We need to count words in the entire article after the title line? The title line “Title: …” counts as words? Probably yes. We’ll count everything after “Title: …” including that line? Safer to count all words in output. Let’s count manually. I’ll copy text and count. Title line: “Title: The First Prompt: Instructing AI to Generate Accurate Code Examples” Words: Title:(1) The(2) First(3) Prompt:(4) Instructing(5) AI(6) to(7) Generate(8) Accurate(9) Code(10) Examples(11) So 11 words. Now paragraphs. I’ll count each paragraph’s words. Paragraph 1: “Freelance technical writers who work with API/SaaS products can save hours by letting AI generate code snippets and keep documentation in sync. The key is a well‑crafted first prompt that tells the model exactly what to produce.
” Words: Freelance1 technical2 writers3 who4 work5 with6 API/SaaS7 products8 can9 save10 hours11 by12 letting13 AI14 generate15 code16 snippets17 and18 keep19 documentation20 in21 sync.22 The23 key24 is25 a26 well‑crafted27 first28 prompt29 that30 tells31 the32 model33 exactly34 what35 to36 produce37. 37 words. Paragraph 2: “Start by breaking a complex operation into sequential steps instead of asking for one monolithic example. For instance, if you need to show how to create a resource, retrieve it, update it, and delete it, ask the AI for each step in its own prompt. This makes the output easier to verify and reduces the chance of hallucinated details.
” Words: Start1 by2 breaking3 a4 complex5 operation6 into7 sequential8 steps9 instead10 of11 asking12 for13 one14 monolithic15 example.16 For17 instance,18 if19 you20 need21 to22 show23 how24 to25 create26 a27 resource,28 retrieve29 it,30 update31 it,32 and33 delete34 it,35 ask36 the37 AI38 for39 each40 step41 in42 its43 own44 prompt.45 This46 makes47 the48 output49 easier50 to51 verify52 and53 reduces54 the55 chance56 of57 hallucinated58 details59. 59 words. Paragraph 3: “Use the following checklist to judge every snippet the AI returns:
” Words: Use1 the2 following3 checklist4 to5 judge6 every7 snippet8 the9 AI10 returns11. 11 words. List: “- Accuracy – endpoint path, HTTP method, and parameter names must match the official API spec.
- Clarity – variable and function names should be intuitive so a developer new to the API can grasp the purpose instantly.
- Placeholders – replace any secret values (API keys, tokens, passwords) with obvious placeholders like
YOUR_API_KEY. - Runability – copy the code into a sandbox such as Replit, CodePen, or a local script and verify it runs without syntax errors.
- Safety – ensure the snippet avoids insecure practices like hardcoded credentials or disabling SSL verification.
YOUR_API_KEY.”
Words: Placeholders1 – replace2 any3 secret4 values5 (API6 keys,7 tokens,8 passwords)9 with10 obvious11 placeholders12 like13 YOUR_API_KEY14.
14 words.
Fourth: “Runability – copy the code into a sandbox such as Replit, CodePen, or a local script and verify it runs without syntax errors.”
Words: Runability1 – copy2 the3 code4 into5 a6 sandbox7 such8 as9 Replit,10 CodePen,11 or12 a13 local14 script15 and16 verify17 it18 runs19 without20 syntax21 errors22.
22 words.
Fifth: “Safety – ensure the snippet avoids insecure practices like hardcoded credentials or disabling SSL verification.”
Words: Safety1 – ensure2 the3 snippet4 avoids5 insecure6 practices7 like8 hardcoded9 credentials10 or11 disabling12 SSL13 verification14.
14 words.
Now total list words = 14+20+14+22+14 = 84 words.
Paragraph 4: “A strong, structured prompt looks like this:
” Words: A1 strong,2 structured3 prompt4 looks5 like6 this7. 7 words. Preformatted block: “Task: Create a Python code snippet that makes a POST request to the endpoint: https://api.example.com/v1/projects.
Authentication: Bearer token. Use placeholder: YOUR_TOKEN.
Include error handling: raise an exception for 4xx/5xx status codes and handle connection timeouts.
Return the JSON response. ... as words separated by spaces. Let’s count.
Content