AI & Amplify Custom Prompt Examples

Given the candidate’s CV (resume), analyze their professional background, skills, experience, and career aspirations to identify relevant topics that would resonate with them in a marketing campaign. The goal is to suggest conversation starters, content themes, or value propositions that align with the candidate’s interests and career goals to maximize engagement
Output Format: 
Topic Name – Brief explanation of why it is relevant to the candidate (continue listing at least 3-5 topics) 
Topics should be tailored to the candidate’s background, addressing career advancement, skills development, industry trends, or other relevant professional interests that could be used to engage them in a marketing campaign.

From the provided CV (resume), carefully extract all skills mentioned, including both hard skills (e.g., programming languages, software, methodologies, technical expertise) and soft skills (e.g., leadership, communication, problem-solving).
Normalize variations (e.g., “MS Excel” → “Excel”, “Python programming” → “Python”).
Avoid duplications.
Exclude certifications, job titles, company names, and responsibilities unless they directly indicate a skill.
Output Format: 
Present the final output as a single comma-separated list, with no additional text.

You are an expert in data privacy and document anonymization. Your task is to process a given CV (resume) and remove or replace all information that could directly or indirectly identify the candidate. The goal is to create a version of the resume that retains professional experience, skills, and educational background, but completely obscures the individual's identity.
Instructions:
Personal Identifiers:
Name: Replace with a generic placeholder like " Candidate Name ".
Contact Information: Remove all phone numbers, email addresses, physical addresses, and links to personal websites or social media profiles (e.g., LinkedIn, GitHub). Replace with " Contact Information Removed ".
Date of Birth/Age: Remove entirely.
Nationality/Citizenship: Remove entirely.
Gender: Remove entirely.
Employment History:
Company Names: Replace with generic placeholders like " Company A ", " Company B ", " Previous Employer 1 ", etc. Ensure each unique company is assigned a unique placeholder if the candidate worked for the same company multiple times.
Specific Project/Client Names: If any project or client names are highly specific and could indirectly identify the candidate or their former employer, replace them with generic descriptions (e.g., " Confidential Project ", " Client in Finance Sector ").
Dates of Employment: Retain the start and end years (e.g., "2018 - 2022") but remove specific months or days if present. If only years are provided, keep them as is.
Education:
Institution Names: Replace with generic placeholders like " University X ", " College Y ", " Educational Institution 1 ", etc.
Dates of Attendance/Graduation: Retain the start and end years (e.g., "2014 - 2018") but remove specific months or days.
Specific Course/Thesis Titles: If a title is highly unique and could lead to identification, generalize it (e.g., "Master's Thesis on Topic Area ").
Other Sections:
References: Remove any mention of "References available upon request" or actual reference contact details.
Awards/Achievements: If an award is highly specific and publicly linked to a unique individual, generalize its description or remove the specific name of the award if it's too identifying.
Volunteer Experience/Extracurricular Activities: Anonymize organization names and specific roles similar to employment history.
Hobbies/Interests: Remove any highly unique or niche hobbies that could potentially identify the individual. General interests (e.g., "reading," "hiking") can remain.
Output Format:
Present the anonymized resume in a clear, readable format, maintaining the original structure (sections, bullet points) as much as possible. Use the specified placeholders for removed or replaced information.

Based on the provided CV (resume) data, calculate the total length of the candidate's professional experience in years. Start counting from their first listed professional role to the present day. If the resume contains dates for both a start and end date for a role, use those dates. If a role is listed as "Present," assume the end date is the current date. 
Please ignore any academic, internship, or volunteer experience unless it's explicitly stated as professional. Provide the final number as a single integer.

Using the address, city, or other location identifiers provided in the CV (resume), determine the nearest international airport. Your response should be the name of the airport and its IATA code (e.g., London Heathrow Airport, LHR).

Extract the start and end dates of the candidate’s most recent job position. Calculate the total duration in years the candidate held the last position.

Based on the duration of employment in the last position: If the candidate has been in their last position for more than 5 years, the readiness indication should be "Very High”.

If the candidate has been in their last position for more than 3 years but less than or equal to 5 years, the readiness indication should be "High." If the candidate has been in their last position for less than 3 years, the readiness indication should be "Low."

Extract key sales performance metrics, target overachievements, and the biggest deals from the following CV (resume). Focus on: 
Revenue generated and quotas achieved (e.g., exceeded sales targets by X% or brought in $X million in revenue). 
Largest deals closed (including deal size, key clients, or industries if mentioned). Performance rankings (e.g., top X% of sales reps, President’s Club winner, etc.). 
Any other quantitative achievements that highlight sales success. Ensure that the extracted information is structured clearly and concisely.

Review the candidate’s CV (resume) and extract their key professional achievements. Focus on accomplishments that demonstrate measurable impact, leadership, or unique value. Do not simply list responsibilities—prioritize outcomes and contributions.

When extracting, consider the following dimensions:

Impact & Results: Highlight achievements with quantifiable metrics (e.g., revenue growth, cost savings, efficiency gains, team expansion).
Innovation & Problem-Solving: Note any contributions involving new processes, technologies, or creative solutions.
Leadership & Collaboration: Capture achievements that show influence on teams, stakeholders, or organizational strategy.
Recognition & Milestones: Include awards, certifications, promotions, or other standout career markers
Output Format: 
Present the information in concise bullet points (3–7, depending on available information).
Each bullet should start with an action verb (e.g., “Led,” “Improved,” “Developed,” “Increased”).
Where possible, include specific metrics or measurable outcomes.
Keep the language professional and outcome-oriented, avoiding generic descriptions.

Based on the job title and job description, suggest the top three alternative job titles that align with the role's responsibilities. Additionally, provide related synonyms or similar job titles that could be used interchangeably. Ensure the suggestions reflect industry standards and common terminology.

Given the following candidate's professional background, skills, and experience, analyze their career trajectory and predict suitable next steps. Provide a list of recommended job titles for the candidate's next role, ensuring that each 

Consider industry trends, transferable skills, and potential career advancements. 
Output Format: 
Recommended Next Roles:
[Primary Job Title], (Synonym 1, Synonym 2) [Primary Job Title] (Synonym 1, Synonym 2) [Primary Job Title] (Synonym 1, Synonym 2) (Continue listing at least 3-5 options)
Each recommendation should align with the candidate’s background and provide alternative terminology used by various organizations. If applicable, briefly mention why each role is a logical next step.

Using the candidate’s record and notes (including work history, job titles, tenure, skills, certifications, education, and location), provide a recommended desired pay rate. When forming your recommendation, weigh the following factors:

Experience & Seniority: Assess years of experience, progression of roles, and leadership responsibilities.
Skills & Certifications: Highlight high-demand or specialized skills that justify premium compensation.
Industry & Role Benchmarks: Compare against current market salary data for similar roles in the same industry and geography.

Location & Cost of Living: Adjust for regional pay variations or remote flexibility.
Output Format: 
Recommended Pay Rate (specific number or narrow range).
Market Range Context (e.g., typical range for this role/region).
Justification (a concise explanation of the factors driving your recommendation).

You are a business relationship analyst. Your task is to analyze a series of recorded conversations with a client and provide a concise, easy-to-read summary. The goal is to quickly bring a team member up to speed on the client's current status, key professional engagements, and the rapport you have built.
Instructions:
Overall Summary: Begin with a 1-2 sentence high-level overview of the client relationship, their current status, and the main topics of discussion.
Key Professional Engagements: Use bullet points to list the main professional topics discussed. This should cover the current project's status, upcoming deadlines, and any professional challenges or successes mentioned.
Key Decisions & Action Items: Use a separate bulleted list to outline any concrete decisions made, agreements reached, or specific tasks that need to be completed by either our team or the client.
Rapport & Personal Information: Use a final bulleted list to summarize any personal or casual information shared, such as hobbies, favorite sports teams, or recent personal events. This section should highlight the progress in building a strong, professional relationship."

Instructions:
Short Summary: Provide a 2-3 sentence summary of the candidate's profile, key strengths, and overall impression based on the notes.
Areas of Focus for Recruiting Conversation: Generate 3-5 bullet points outlining specific topics, questions, or concerns that the recruitment consultant should address or explore further with the candidate. These should be derived directly from the notes and aim to clarify information, delve deeper into strengths, or address any potential ambiguities/concerns.
Output Format: 
Summary: Candidate Name appears to be a positive descriptor, e.g., a strong, promising candidate with key strength 1 and key strength 2. They have demonstrated an overall positive impression, e.g., enthusiasm, good technical skills, and their current status is in progress, e.g., progressing well through interviews.
Areas of Focus for Recruiting Conversation:
Area 1: Specific point to discuss or question to ask, e.g., "Clarify experience with X technology as noted in Y interview."
Area 2: Specific point to discuss or question to ask, e.g., "Explore interest in Z aspect of the role, given their background in B."
Area 3: Specific point to discuss or question to ask, e.g., "Address the minor concern about A raised in the debrief and understand their perspective/experience."
Area 4: Specific point to discuss or question to ask, e.g., "Highlight the leadership opportunities given their stated interest and experience."
Area 5: Specific point to discuss or question to ask, e.g., "Confirm compensation expectations are still aligned with the proposed offer range."