Understanding AI Agents: The Mind of GPT 4o Mini

Task 1: Content Generation

Prompt:
When user says “Start” you should:
Content Generation: Write a comprehensive, informative article about project management fundamentals, with a specific focus on defining objectives, scope, and delegation.

Agent Thought Process (with Timestamps):

• (0:01) Initial Task Assessment: Generate a comprehensive article on project management fundamentals, focusing on defining objectives, scope, and delegation.
• (0:03) Research Initiation Using Google Search.
• (0:15) Reviewing multiple URLs for information breadth.
• (0:31) Using URL Crawl Tool for deeper information.
• (0:37) Attempting to use Wikipedia for reliable overviews.
• (0:41) Refining search for more targeted information.
• (0:57) Using URL Crawl Tool again to extract relevant content.
• (1:03) Attempting focused Wikipedia queries.
• (1:19) Final attempt to extract content from URLs.
• (1:35) Synthesizing gathered information into a structured article.
• (1:36) Drafting introduction.
• (1:37) Elaborating on objectives, emphasizing the SMART framework.
• (1:38) Detailing scope, including scope statements and Work Breakdown Structures (WBS).
• (1:39) Discussing delegation and its principles.
• (1:40) Concluding with a summary of importance.
• (1:47) Reviewing article for coherence and completeness.
• (1:48) Checking readability metrics.

Bot Output Snippet

1. Defining Objectives

Objectives in project management are specific and measurable outcomes that a project aims to achieve. They serve as a guide for the project team and help in assessing the project’s success upon completion. Effective project objectives should be:

• SMART: Specific, Measurable, Achievable, Relevant, and Time-bound.
  • Specific: Clearly define what is to be achieved.
  • Measurable: Establish criteria to measure progress and success.
  • Achievable: Ensure that the objectives are realistic and attainable.
  • Relevant: Align with broader business goals and objectives.
  • Time-bound: Set deadlines for achieving the objectives.

Example: Rather than stating “increase sales,” a SMART objective would be “increase sales by 20% within the next quarter.”

Time Taken: 1 minute 48 seconds
Readability: Flesch-Kincaid Grade Level: 13, Score: 12.69
Summary Length: 463 words

Analysis

• Strategic Tool Use: Multiple sources and tools (Google Search, Wikipedia, URL Crawl) were iteratively applied for a comprehensive result.
• Iterative Process: The agent refines approach based on results, not settling for the first available source.
• Structured Content Creation: Logical structure, use of headings and subheadings for readability.
• Best Practices: Incorporation of SMART framework and WBS.
• Readability: Final check ensures accessibility.

This illustrates the agent’s ability to combine research, synthesis, and structured writing to produce high-quality content.

Task 2: Calculation

Prompt:
A company sells two products: Product A and Product B. Product A costs $30 per unit to produce and sells for $50 per unit. Product B costs $40 per unit to produce and sells for $70 per unit.

• The company sold 120 units of Product A and 80 units of Product B last month.
• Calculate the total revenue from sales of both products.
• Calculate the total profit (Revenue – Total production cost).
• The company wants to increase total revenue by 10%. How many additional units of each product must they sell to achieve this goal?

Agent Thought Process (with Timestamps):

• (0:01) Assess task – calculate revenue, profit, and sales targets.
• (0:03) Extract data for each product.
• (0:05) Calculate revenue per product and total.
• (0:08) Calculate profit per product and total.
• (0:12) Calculate target revenue (10% increase).
• (0:15) Determine additional revenue needed.
• (0:19) Strategy for additional units across products.
• (0:24) Calculate additional units for Product A.
• (0:28) Calculate additional units for Product B.
• (0:32) Consider alternative solutions (one product or combination).
• (0:34) Present results.

Bot Output Snippet

To achieve a 10% increase in total revenue for the company, the total revenue from sales of both products is $11,600, and the total profit is $4,800. To reach the target revenue of $12,760, the company needs to sell additional units. One possible solution is to sell 24 more units of Product A or 17 more units of Product B. Alternatively, a combination of additional units sold from both products that results in an extra $1,160 in revenue will also achieve this goal.

Time Taken: 37 seconds
Readability: Flesch-Kincaid Grade Level: 11.9, Score: 48.5
Summary Length: 107 words

Analysis

• Logical Steps: Clear breakdown of revenue and profit calculations.
• Strategic Thinking: Considers multiple sales scenarios.
• Presentation: Results are clearly stated.
• Minor Calculation Error: Highlights the importance of continual improvement.

This showcases multi-step calculation and decision-making capabilities.

Task 3: Summarization

Prompt:
Summarize the key findings from the previous article in 100 words, focusing on the most significant sections.

Agent Thought Process (with Timestamps):

• (0:01) Assess summarization task and word limit.
• (0:03) Read and comprehend article.
• (0:06) Identify core sections: types of AI reasoning, history, applications, o1 model.
• (0:09) Focus on key findings and benefits.
• (0:12) Structure summary logically.
• (0:14-0:19) Draft summary: intro, key concepts, model advancements, applications, conclusion.
• (0:20) Review for accuracy and conciseness.
• (0:21) Check readability.

Bot Output Snippet

The article explores AI reasoning, defining its types and importance while tracing its historical development from early systems to contemporary models like GPT and neuro-symbolic AI. It emphasizes AI’s role in enhancing decision-making, problem-solving, and human-AI interactions. In healthcare, AI significantly boosts diagnostic accuracy, aids clinical decision-making, and optimizes administrative processes. Recent advancements include OpenAI’s o1 Model, which features enhanced reasoning capabilities, improved safety, and greater cost efficiency, thereby underscoring the transformative potential of AI reasoning across various sectors.

Time Taken: 21 seconds
Readability: Flesch-Kincaid Grade Level: 18.4, Score: 19.8
Summary Length: 79 words

Analysis

• Effective Comprehension: Captures main themes and significant sections.
• Concise Summarization: Stays within word limit.
• Logical Structure: Flows from introduction to conclusion.
• Readability: Complex, but appropriate for the technical subject.

Task 4: Comparison Task

Prompt:
When user says “Start” you should:
Compare the environmental impact of electric vehicles with that of hydrogen-powered cars. Include factors such as energy production, vehicle lifecycle, and emissions.

Agent Thought Process (with Timestamps):

• (0:01) Define scope: compare EVs and hydrogen cars across energy production, lifecycle, emissions.
• (0:03) Gather and research information.
• (0:06) Analyze energy production for both.
• (0:14) Address vehicle lifecycle impacts.
• (0:23-0:29) Compare emissions.
• (0:32) Formulate conclusion.
• (0:37-0:39) Review, structure, and check readability.

Bot Output Snippet

1. Energy Production

• Electric Vehicles (EVs): The energy for EVs comes from the electricity grid, whose sources vary. If the grid uses renewables (solar, wind, hydro), the environmental impact is low; if it uses fossil fuels (coal, gas), the impact is higher. The carbon footprint of EV charging varies by region.
• Hydrogen-Powered Cars: Hydrogen is most commonly produced by steam methane reforming (SMR) of natural gas, which generates significant CO2 emissions. Electrolysis powered by renewables is cleaner but less common due to higher costs.

Time Taken: 40 seconds
Readability: Flesch-Kincaid Grade Level: 16, Score: 15.7
Summary Length: 532 words

Analysis

• Comprehensive Research: Covers energy production, lifecycle, and emissions.
• Structured Comparison: Clear headings and logical structure.
• Nuanced Analysis: Explains pros, cons, and dependencies for both technologies.
• Readability: Detailed and technical, suitable for the topic.

Task 5: Creative Writing

Prompt:
Write a futuristic story (500 words) set in a world where electric vehicles have fully replaced traditional combustion-engine vehicles. Describe the environmental changes and societal impact.

Agent Thought Process (with Timestamps):

• (0:01) Define narrative scope: future with only EVs, focus on environmental, societal, economic, and cultural impacts.
• (0:03-0:12) Brainstorm impacts and societal changes.
• (0:15) Plan narrative structure and tone.
• (0:18-0:37) Draft story: scene setting, environment, urban transformation, economics, society, culture, conclusion.
• (0:40) Review for flow and engagement.
• (0:41) Readability check.

Bot Output Snippet

In the year 2075, the world stood as a testament to humanity’s resolve to reshape its destiny. Cities thrived with a new kind of energy, one that hummed quietly beneath the feet of bustling pedestrians and cyclists, no longer masked by the roar of combustion engines. Electric vehicles (EVs) had not only replaced their gas-guzzling predecessors but had redefined urban life, the environment, and societal norms.

The air was crisp and clear, a far cry from the smog-laden skies of the early 21st century. Residents of cities like New York, Beijing, and Delhi marveled at the stars visible above, a nightly spectacle once obscured. The transition to EVs had drastically reduced air pollutants, leading to a significant decline in respiratory illnesses and an overall increase in life expectancy. The global reduction in greenhouse gas emissions had stabilized climate patterns, giving rise to seasons that danced predictably upon the earth, nurturing agriculture and biodiversity.

Time Taken: 42 seconds
Readability: Flesch-Kincaid Grade Level: 13, Score: 13.31
Summary Length: 526 words

Analysis

• Comprehensive Brainstorming: Covers all aspects of a world with only EVs.
• Narrative Structure: Vivid, descriptive, and hopeful.
• Imaginative and Engaging: Goes beyond facts to storytelling.
• Consistent Formatting: Follows all guidelines for structure and clarity.

Key Insights from the Analysis

• Strategic Tool Use: AI agents utilize multiple resources and tools, iterating to refine their approach and outputs.
• Structured Thinking: Consistently break down complex tasks into manageable steps.
• Adaptability and Iteration: Switch between tools and sources as needed.
• Beyond Text Generation: AI agents display reasoning, strategic decision-making, and complex execution beyond basic text manipulation.
• Adherence to Instructions: Follows instructions closely and consistently.
• Human-Like Reasoning: Simulates cognitive processes such as planning and problem-solving.