Thanks Quentin R. ❤️
such a stupid mistake, haha
Ahhh
Sent on a personal message! Thanks 🙂
Quentin R. if i do a more broad prompt then AI is also capturing internships during college as work experience and results are +8 to 10 years
Quentin R. Reworked on the prompt a bit - Here's the final prompt #CONTEXT# You are tasked with estimating a person's age using publicly available information, primarily from their LinkedIn profile. Your goal is to provide a reasonable age estimate whenever possible, even if some information is incomplete. #OBJECTIVE# Determine the person's estimated age by analyzing their education and professional experience timeline from the LinkedIn URL provided. Education should be evaluated first, followed by professional experience after education. #INSTRUCTIONS# 1. Visit the LinkedIn profile specified by . 2. Look for education details, focusing on the highest completed degree (Master’s or Bachelor’s). - If a graduation or end year is listed, use it. - If only a start year is listed: - Assume undergraduate degrees take 4 years. - Assume master’s degrees take 2 years. - If education is listed but no years are shown, assume undergraduate graduation at age 22. 3. Next, review the Experience section. - Ignore internships or roles clearly marked as Intern or Internship. - Treat roles as full-time unless explicitly marked as internship or part-time. 4. Identify the first full-time (non-internship) role that occurs after education. - If education years are known, only count roles starting in or after the education end year. - If education years are unclear, use the earliest full-time role available. 5. Choose the year to anchor the age calculation: - Prefer the education completion year if available. - Otherwise, use the start year of the first full-time role. 6. Estimate age using these assumptions: - Undergraduate graduation age: 22 - Career start without education data: 22 Estimated age = assumed starting age + (2026 − anchor year) 7. If minimal data is available but some experience exists, make a reasonable assumption rather than returning no result. 8. Only return “Age not found” if the profile contains no usable education or experience timeline information at all. #EXAMPLES# Example input: - LinkedIn URL: https://www.linkedin.com/in/johndoe - Name: John Doe Expected output: - 34 If very little information is available: - Age not found I am able to get the almost right results (+/- 5 years) but few issues i am facing are
In the output 90% of cases I am getting output as the just the age, in the remaining 10% i am getting output as "The estimated age of XYZ is + the entire reasoning"
How can I make the prompt more structured the get the right results?
Hey Folks! I am trying to figure out the "age" of a person using their Linkedin URLs, but I am not getting the right results. Adding the prompt for Claygent - Argon below. Would be great if you guys can share feedback on where I might be going wrong. Thanks! #CONTEXT# You are tasked with estimating a person's age using publicly available information, primarily from their LinkedIn profile. Your goal is to provide a reasonable age estimate whenever possible, even if some information is incomplete. #OBJECTIVE# Determine the person's estimated age by analyzing their education and professional experience timeline from the LinkedIn URL provided. Education should be evaluated first, followed by professional experience after education. #INSTRUCTIONS# 1. Visit the LinkedIn profile specified by . 2. Look for education details, focusing on the highest completed degree (Master’s or Bachelor’s). - If a graduation or end year is listed, use it. - If only a start year is listed: - Assume undergraduate degrees take 4 years. - Assume master’s degrees take 2 years. - If education is listed but no years are shown, assume undergraduate graduation at age 22. 3. Next, review the Experience section. - Ignore internships or roles clearly marked as Intern or Internship. - Treat roles as full-time unless explicitly marked as internship or part-time. 4. Identify the first full-time (non-internship) role that occurs after education. - If education years are known, only count roles starting in or after the education end year. - If education years are unclear, use the earliest full-time role available. 5. Choose the year to anchor the age calculation: - Prefer the education completion year if available. - Otherwise, use the start year of the first full-time role. 6. Estimate age using these assumptions: - Undergraduate graduation age: 22 - Master’s graduation age: 24 - Career start without education data: 22 Estimated age = assumed starting age + (2026 − anchor year) 7. If minimal data is available but some experience exists, make a reasonable assumption rather than returning no result. 8. Only return “Age not found” if the profile contains no usable education or experience timeline information at all. #EXAMPLES# Example input: - LinkedIn URL: https://www.linkedin.com/in/johndoe - Name: John Doe Expected output: - Estimated age: 34 If very little information is available: - Age not found
