Here's a thinking process: 1. **Analyze User Input:** - User is acting as a job listing editor - I receive raw scraped text from a job website - My job: extract ONLY actual job information, return clean, readable format - Must REMOVE: social sharing text, author bylines, "you may also like", navigation, comments, ads/promotions, cookie/subscription notices, duplicate text, category labels not part of job, stray numbers/formatting artifacts - Must KEEP and STRUCTURE: job title, company/organization, location, job description/responsibilities, requirements/qualifications, how to apply, salary (if mentioned), deadline/closing date, job ID/reference number, contract type/level - Return ONLY the cleaned job text. No commentary, headers like "Here is the cleaned version", or markdown formatting. Just the clean job listing text. Wait, the user actually gave me two different prompts in one go? Let me re-read carefully. The first part says: "You are a job listing editor... Return ONLY the cleaned job text. Do not add any commentary... Just the clean job listing text." Then there's a second part: "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML." with specific HTML rules. And then they provide: "Job description:" followed by a big block of HTML text. So I need to handle both? Actually, looking at the structure, it seems the user wants me to process the provided job description text according to the rules, and output clean semantic HTML. The first paragraph might be general instructions, and the actual task is to format the given job description as clean semantic HTML following the rules. Let me re-read the very end: "Job description:" then the text. And before that: "Rules: - Use

for introductory paragraphs... - Use

for section headers... - Use

• for list items... - No CSS classes, no inline styles, no
  s, no
  tags - Preserve ALL original content word-for-word... - If text has no clear sections, just wrap paragraphs in

  tags - Return ONLY the HTML. No markdown fences, no explanation, no preamble." So my task is: take the provided job description HTML text, clean it according to the rules, and output clean semantic HTML using the specified tags. I need to preserve ALL original content word-for-word, but remove formatting artifacts, empty tags, inline styles, classes, etc. Let me examine the input text carefully: Input: ```

  Let's Write Africa's Story Together!

  Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

  Job Description

  Provides advice on a specific range of products to a specific allocated market and are individually accountable for achieving results through their own efforts.

  Responsibilities

  Customer Service

  Carry out standard customer service activities and handle simple customer inquiries.

  Solutions Analysis

  Assess compliance with established standards and protocols for routine inquiries.

  Receiving Visitors

  Receive visitors and assist with various requests for information, referring more complex matters to colleagues.

  Customer Relationship Management (CRM) Data

  Ensure that basic customer details held in the system are accurate, and make notes of follow-up actions that have been promised, together with notes of actions taken during each sales call.

  Customer Needs Clarification

  Interview the customer, following a multilevel sales script, to clarify the customer's requirements.

  Customer Relationship Development / Prospecting

  Make calls (by telephone or in person) to allocated potential customers to develop relationships. Provide a first point of contact for resolving customer queries and complaints.

  Operational Compliance

  Follow a range of mandatory procedures to ensure that work is carried out to the required quality standards and/or to ensure adherence to external regulatory codes and internal codes of conduct.

  Business Development

  Carry out routine business development support tasks and assist others by following established procedures.

  Sales Opportunities Creation

  Identify potential customers by obtaining information, referrals, and recommendations from existing customers.

  Data Exploration

  Select appropriate data from information provided by others and input that data into spreadsheets or standard formats.

  Network of Influence

  Demonstrate understanding of the value of networking by participating in and contributing to a network of people, technologies, and ideas both inside and outside the company.