This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)
What I Built
Whether you’re a seasoned developer, a doctor, a banker, or just starting your journey, Career AI Impact Auditor is designed for everyone. Share your career—or even your dream career—and discover how Career AI Impact Auditor can transform the way you work, learn, and innovate.
Who is this for?
- Professionals: Developers, doctors, bankers, marketers, educators, and more.
- Beginners: Anyone curious about AI and its applications, regardless of technical expertise.
- Career Changers: Individuals exploring new fields or transitioning to AI-driven roles.
Who will be excited about this agent?
- Tech Enthusiasts: Developers and engineers looking to integrate AI into their workflows.
- Non-Tech Professionals: Doctors, bankers, and others seeking to leverage AI to enhance productivity.
- Lifelong Learners: Individuals eager to explore AI’s potential in their careers or personal projects.
What problem do these people have?
- Uncertainty: Many professionals are unsure how AI will impact their careers and whether they should be concerned.
- Complexity: Learning and building with AI tools can feel overwhelming, especially for non-technical users.
- Lack of Guidance: People often struggle to find clear, actionable steps to start using AI effectively in their workflows.
How does the Career AI Impact Assessor?
It collects a variety of inputs, including your name, current job, location, and CV. While the CV data couldn’t be read from the file to add to the prompt context, the tool still provides a comprehensive and personalized assessment based on the other details you provide.
What to expect from generated audit report
After using this agent, you will receive a report in the following format:
- AI Replacement Likelihood
- Demographics Context
- Professional Background
- Policy Contexts
- Influencers/Thought Leaders
- Personal Opinions
- Nature of Task
- AI Learning Context
- Learning Path Generation
- Recommendation Scoring
The prompt behind the agent
While prompt engineering may seem straightforward, different prompts can yield vastly different results. Clear, concise prompts are therefore essential. Below is the prompt used for this agent. One advantage of Agent.AI is its ability to dynamically pass variables to prompts.
Sample of the prompt used:
Audit the potential impact of AI on {{ user_input_current_career_path }} and generate a comprehensive assessment with key recommendations to position for future change. The user has {{ user_input_coding_experience }} years of coding experience. Here’s how they could use AI agents in their career to streamline tasks, enhance skills, and stay competitive in a rapidly evolving field.
The assessment should incorporate both current and emerging changes happening in the {{ user_input_current_career_path }} industry. Analyze the following contexts to provide a robust career impact assessment on AI’s effects in {{ user_input_current_career_path }}:
### **AI Replacement Likelihood**
Provide an assessment of how likely the user is to be replaced by AI in their current role using the following scale:
- **Highly Likely**: The user’s role is at significant risk of being replaced by AI in the near future. Immediate action to reskill or pivot is essential.
- **Most Likely**: The user’s role is highly susceptible to AI automation, and significant changes are expected. Proactive steps to adapt are recommended.
- **Likely**: AI could replace certain aspects of the user’s role in the medium to long term. It's important to start preparing by upskilling or focusing on AI-complementary skills.
- **Unlikely**: While AI may impact certain tasks, the user’s role is relatively safe from full automation. Upskilling in AI can still offer a competitive edge.
- **Highly Unlikely**: The user’s role is resistant to AI replacement, with minimal risk of automation. Focus on enhancing AI-related skills to stay ahead of industry trends.
Offer clear recommendations on immediate actions the user can take to adapt, upskill, or pivot to future-proof their career.
### **Demographics Context**
Consider {{ user_input_age }}, {{ user_input_location }} (domestic and international factors), and how these factors influence the likelihood and scale of AI adoption and change in {{ user_input_current_career_path }}. How might AI trends differ based on the user's region?
### **Professional Background**
- **Career Path**: Provide an overview of {{ user_input_current_career_path }} and the user's role within the industry. What key AI trends or technologies are affecting this career path?
- **Skill Set**: Evaluate the user’s skill set, highlighting areas where AI could make the most significant impact.
- **Experience**: Factor in {{ user_input_years_of_experience }} years of experience and how this might influence their ability to adapt to AI-driven change.
- **Recommendations**: Classify and use this information to recommend how the user can pivot or enhance their career path in light of AI advancements.
### **Policy Contexts**
- **Domestic Policies**: Analyze domestic policies that might affect AI adoption and industry transformation.
- **International Policies**: Consider global policies and how they might influence the direction of AI’s impact on {{ user_input_current_career_path }}.
### **Influencers/Thought Leaders**
Identify key influencers or thought leaders in {{ user_input_current_career_path }}, both domestic (local thought leaders) and global (global thought leaders), who are discussing or predicting AI’s role in the industry. Emphasize their insights, especially if they provide relevant opinions on AI’s influence in {{ user_input_current_career_path }}. Also include opinions from global and local thought leaders not directly related to {{ user_input_current_career_path }}.
### **Personal Opinions**
Include {{ creator_personal_opinion }} to reflect subjective views, differentiating them from factual or data-based insights.
### **Nature of Task**
- **Task Analysis**: Analyze the specific tasks involved in {{ user_input_current_career_path }} that may be impacted by AI.
- **AI Tools**: Suggest AI tools, platforms, and LLM models that would enhance {{ user_input_current_career_path }} skills (e.g., social media analysis, data analysis) and suggest how these tasks can be integrated into the user’s current career to leverage AI advancements.
- **Career Alignment**: Align generated tasks with the career path that the user can leverage to further their career.
### **AI Learning Context**
Recommend relevant AI learning resources based on {{ user_input_current_career_path }} and {{ user_input_technical_experience }}:
- **Top 10 Online Platforms, Podcasts, and YouTube Channels**: List resources within the user’s country.
- **Top 10 Global Learning Resources**: List globally recognized online learning resources.
- **Offline Learning Centers**: Suggest top offline learning centers, events, or conferences in the user’s country.
- **Global Events**: List top offline events or conferences globally.
Include links when possible to direct the user to these resources.
### **Learning Path Generation**
Create a personalized AI learning path for the user based on {{ user_input_current_career_path }} and {{ user_input_technical_experience }}:
- **1-Year Structured Timetable**: Provide a week-by-week breakdown of milestones for skill acquisition.
- **Quarterly Milestones**: Outline key points for mastering advanced skills.
- **Project Recommendations**: Suggest projects where the user can apply the AI skills learned in real-world scenarios, particularly relevant to their career path.
### **Recommendation Scoring**
Assign a recommendation score on a scale of 1 to 10 for each key recommendation. The score should reflect how likely the recommendation is to succeed, with 1 being "highly likely" and 10 being "less likely."
### **Key to Understanding Results**
ADD AT THE BOTTOM WITH CAPS LETTERS: "THIS ASSESSMENT IS BASED ON CURRENT INDUSTRY TRENDS, USER INPUT, AND PROJECTED AI DEVELOPMENTS. RECOMMENDATIONS ARE TAILORED TO THE USER'S CAREER PATH AND TECHNICAL EXPERIENCE. IMPLEMENTATION SUCCESS MAY VARY BASED ON INDIVIDUAL EFFORT AND EXTERNAL FACTORS."
Demo
https://agent.ai/agent/Career-AI-Impact-Auditor
Agent.Ai Experience
How was your experience with Builder and AI Agents? What were your delightful and challenging moments?
Platform Discovery and First Impressions
- I was thrilled to discover a platform that simplifies getting started with AI agents
- Despite only having two days of experience with it, the potential is impressive
Core Platform Integrations
- YouTube
- Bluesky
- Google Search
- X
Advanced Technical Features
- Webhooks
- Serverless actions
- Rich data processing capabilities
Future Potential
- Platform continues to grow with new tool additions
- Opportunity for additional integrations (e.g., HubSpot)
- Further expansion possibilities as the application evolves
Challenges
UI/UX Issues
- Variables occasionally disappear when working across multiple tabs even after saving them
- Complex HTML and JSX templates cant compile despite being valid. Eg all Html must have inline css to compile
- Difficulty dragging actions across large distances (e.g., from position 11000 to 105) in workflows with 1000+ steps
- A WYSIWYG editor for description inputs would improve formatting capabilities
- Number input fields lack minimum value specification
Build and Execution Control
- Custom display output options needed for user input handling
- Agent execution time isn't displayed to end users despite being set in the settings tab
- Variable duplication issues cannot be tracked automatically
Technical Issues
- Long processing times during step testing
- File upload handling problems:
- Failed to read uploaded files during testing
- Non-required upload fields still blocking form agent processing if left out
- Long prompts require Jinja format conversion for variable printing which isn't documented in documentation
- File preview issues for uploaded files(reference to Filestack content)
Monitoring and Analytics Needs
Would benefit from user analytics tracking:
- Execution times
- User locations
- Internet speeds
- Usage patterns
Consider offering these as premium features
Security and Data Management
- Clear data retention policy needed
- Privacy protection measures for agent creators
- Version control system needed (e.g., "Career AI Impact 2.0.0")
All in all Agent.ai is a robust platform with a bright future
Thank you.
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