How AI Agents Like GPT 4 Vision Preview Think
Discover how GPT-4 Vision Preview AI Agents integrate text and images to deliver contextually aware, versatile solutions for content creation, problem-solving, and more.

AI agents are advancing at an incredible pace, pushing the boundaries of what machines can perceive and achieve. Among these innovations, GPT-4 Vision Preview stands out as a model that goes beyond text-based understanding, incorporating visual data to expand its problem-solving capabilities. But how does an AI agent like GPT-4 Vision Preview “think”?
In this blog, we’ll explore the unique capabilities of GPT-4 Vision Preview, diving into how it processes and integrates text and images to generate intelligent and contextually aware responses. From analyzing visual inputs to crafting solutions that blend multiple data types, we’ll break down the thought processes that make this AI agent so versatile. Whether you’re fascinated by the next generation of AI or considering how it can enhance your workflows, this deep dive will uncover the mechanisms behind GPT-4 Vision Preview’s groundbreaking performance.
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.

Let’s analyze the agent’s thought process in this content generation task, where it produces an article on project management fundamentals, focusing on defining objectives, scope, and delegation.
Thought Process Breakdown
- Understanding the Task (0:01):
- Create a comprehensive article about project management fundamentals: defining objectives, establishing scope, and delegation.
- Defining the Audience and Purpose (0:03):
- Target audience: individuals new to project management or refreshing knowledge. Article should be informative, clear, and practical.
- Structuring the Article (0:05):
- Clear introduction, then sections for: Defining Objectives, Establishing Scope, Effective Delegation.
- Introduction (0:07):
- Define project management and highlight importance of fundamentals.
- Detailing ‘Defining Objectives’ (0:10):
- Emphasize clarity, specificity, measurability, achievability, relevance, and time-bound (SMART) criteria.
- Expanding on ‘Establishing Scope’ (0:14):
- Importance of project boundaries, identifying deliverables, stakeholder requirements, scope statement, and baseline.
- Discussing ‘Effective Delegation’ (0:18):
- Cover team strengths, communication, authority/resources, monitoring progress, and trust.
- Writing Style and Tone (0:22):
- Professional, informative, accessible, clear, and jargon-free.
- Incorporating Examples (0:26):
- Use practical examples, e.g., formulating a SMART objective.
- Concluding the Article (0:29):
- Summarize the importance of mastering fundamentals.
- Review and Refinement (0:32):
- Review for coherence, clarity, completeness.
- Checking Readability Metrics (0:34):
- Ensure readability for the intended audience.
- Final Edits and Submission (0:36):
- Make final edits based on review.
Bot Output Snippet
Project Management Fundamentals: Defining Objectives, Scope, and Delegation
Project management is a critical discipline that involves planning, executing, and overseeing projects to achieve specific goals within defined constraints such as time, budget, and resources. Understanding the fundamentals of project management is essential for any project manager or team member involved in the process. This article will focus on three core aspects of project management: defining objectives, establishing scope, and effective delegation.
Defining Objectives
One of the first and foremost steps in project management is to clearly define the project’s objectives. Objectives are specific, measurable goals that a project is designed to achieve. They serve as the guiding star for all project activities and decisions, providing clarity and direction to the project team. To effectively define objectives, consider the following:
- Clarity: Objectives should be clear and unambiguous; everyone must be aligned.
- Specificity: Objectives need to be specific rather than vague, providing a concrete target.
- Measurable: Set criteria to track progress and determine when objectives are achieved.
- Achievable: Objectives should be realistic within time, resources, and budget.
- Relevant: Ensure objectives align with broader organizational or sponsor goals.
- Time-bound: Objectives should have a clear timeline for completion.
Time Taken: 37 seconds
Readability:
- Flesch-Kincaid Grade Level: 11
- Flesch-Kincaid Score: 11.12
Summary Length: 669 words
Analysis
- Clear and Logical Structure: Sections and headings make content easy to navigate.
- Comprehensive Coverage: Essential aspects are covered thoroughly.
- Practical Guidance: Includes SMART criteria and the importance of a scope statement.
- Accessible Language: Suitable for newcomers to project management.
- Adherence to Instructions: Follows the prompt and formatting requirements.
Task 2: Calculation
Prompt:
A company sells two products: Product A and Product B.
- Product A: $30 to produce, sells for $50.
- Product B: $40 to produce, sells for $70.
- 120 units of A and 80 units of B sold last month.
- Calculate total revenue and profit.
- How many additional units of each must they sell for a 10% revenue increase, assuming prices and costs remain constant?

Thought Process Breakdown
- Understanding the Task (0:01):
- Calculate revenue and profit for both products; determine units needed for 10% revenue increase.
- Extracting Data (0:03):
- Collect units sold, selling price, and production cost per unit.
- Calculating Revenue and Profit per Product (0:05-0:15):
- Product A: Revenue = 120 × $50 = $6,000; Profit = (50-30) × 120 = $2,400
- Product B: Revenue = 80 × $70 = $5,600; Profit = (70-40) × 80 = $2,400
- Combining Totals (0:09, 0:15):
- Total Revenue = $6,000 + $5,600 = $11,600
- Total Profit = $2,400 + $2,400 = $4,800
- Calculating Target Revenue (0:17):
- 10% increase: $11,600 × 1.10 = $12,760
- Calculating Additional Revenue Needed (0:19):
- $12,760 - $11,600 = $1,160
- Calculating Additional Units Needed (0:22):
- Product A: $1,160 ÷ $50 ≈ 23.2 units
- Product B: $1,160 ÷ $70 ≈ 16.57 units
- Round up as needed.
- Considering Combination (0:25):
- Combination of products can also achieve the target.
- Summarizing Results & Formatting (0:28-0:31):
- Present values clearly, possibly in a table.
- Review & Readability Check (0:34-0:36):
- Double-check calculations and ensure content is clear.
Bot Output Snippet
Calculation Steps
1. Calculate Total Revenue and Profit:
Product A:
- Units Sold: 120
- Selling Price per Unit: $50
- Production Cost per Unit: $30
- Total Revenue: 120 × $50 = $6,000
- Total Profit: 120 × ($50 – $30) = $2,400
Product B:
- Units Sold: 80
- Selling Price per Unit: $70
- Production Cost per Unit: $40
- Total Revenue: 80 × $70 = $5,600
- Total Profit: 80 × ($70 – $40) = $2,400
Combined Totals:
- Total Revenue: $11,600
- Total Profit: $4,800
2. Determine the Target for a 10% Increase in Total Revenue:
- Desired Increase: $11,600 × 10% = $1,160
- Target Revenue: $12,760
Time Taken: 37 seconds
Readability:
- Flesch-Kincaid Grade Level: 13.7
- Flesch-Kincaid Score: 37.2
Summary Length: 576 words
Analysis
- Accurate Calculations: Totals and targets are correct.
- Clear and Detailed: Each step is easy to follow.
- Multiple Scenarios: Considers different ways to reach the target.
- Well-Structured Output: Values are highlighted for clarity.
- Minor Formatting Issues: Occasional incomplete calculation statements.
Task 3: Summarization
Prompt:
Summarize the key findings from the previous article in 100 words, focusing on the most significant sections.

Thought Process Breakdown
- Understanding the Task (0:01):
- Summarize AI reasoning article in ≤100 words.
- Identifying Key Concepts (0:03):
- Distinguish between formal logic and natural language, evolution, impact.
- Focus on Significant Sections (0:05):
- Emphasize the o1 model’s features and STEM benchmarks.
- Structuring Summary (0:07):
- Overview, historical dev, applications, highlight o1.
- Drafting/Review (0:09-0:23):
- Ensure conciseness, accuracy, and readability.
Bot Output Snippet
The article explores AI reasoning by delineating its types, significance, and historical evolution. It emphasizes the application of AI reasoning in healthcare, enhancing diagnostic accuracy and personalized treatment plans. The discussion extends to AI’s role in various fields, highlighting improvements in decision-making, problem-solving, and human-AI interactions, while addressing ethical considerations. Recent advancements are showcased through OpenAI’s o1 model, which exemplifies progress in formal and natural language reasoning. The o1 model’s innovative features are detailed, illustrating its substantial impact on STEM disciplines by fostering more sophisticated and reliable AI-driven solutions.
Time Taken: 24 seconds
Readability:
- Flesch-Kincaid Grade Level: 18
- Flesch-Kincaid Score: 17.58
Summary Length: 89 words
Analysis
- Accurate and Concise: Captures article’s main points in 89 words.
- Well-Structured: Logical flow from intro to advancements.
- Clear and Informative: Key takeaways are easy to grasp.
- Adherence to Instructions: Follows word limit and focus.
- Readability: Complex, reflecting technical content.
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.

Thought Process Breakdown
- Understanding the Task (0:01):
- Compare environmental impact with focus on energy production, lifecycle, emissions.
- Identifying Key Factors (0:03):
- Energy sources, manufacturing, use, end-of-life.
- Detailing for Each Vehicle Type (0:06-0:18):
- EVs: electricity grid mix, battery production, operational emissions.
- Hydrogen: production method (SMR/electrolysis), fuel cell manufacture, storage.
- Structuring the Comparison (0:21):
- Use clear section headings.
- Conclusion & Review (0:35-0:39):
- Summarize, check clarity and readability.
Bot Output Snippet
To compare the environmental impact of electric vehicles (EVs) with hydrogen-powered cars, we need to consider several key factors: energy production, vehicle lifecycle, and emissions.
1. Energy Production
- Electric Vehicles: Use electricity from fossil fuels and renewables; impact depends on grid mix. Renewable sources reduce carbon footprint.
- Hydrogen Cars: Hydrogen from steam methane reforming (CO2 emissions) or electrolysis (clean if renewable-powered). Best impact with renewable hydrogen.
2. Vehicle Lifecycle
- EVs: Battery production is resource-intensive (lithium, cobalt), but efficiency and low-carbon potential can offset impacts.
- Hydrogen Cars: Fuel cell and storage system production uses energy/resources, but can be favorable if hydrogen is sustainable.
3. Emissions
- EVs: Zero tailpipe emissions; overall emissions depend on electricity source.
- Hydrogen Cars: Tailpipe emits only water vapor; total emissions depend on hydrogen production method.
Time Taken: 40 seconds
Readability:
- Flesch-Kincaid Grade Level: 16
- Flesch-Kincaid Score: 16.08
Summary Length: 296 words
Analysis
- Structured Comparison: Clear sections aid comprehension.
- Detailed Information: Covers all requested factors.
- Accurate and Objective: Unbiased with pros/cons.
- Clear and Concise: Technical, but readable.
- Adherence to Instructions: Follows structure and focus.
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.

Thought Process Breakdown
- Understanding the Task (0:01):
- Write a 500-word story about a world where only electric vehicles exist; focus on environment and society.
- Brainstorming/Worldbuilding (0:03-0:12):
- Cleaner air, less noise, new urban planning, economic shifts, societal changes.
- Developing Narrative (0:06-0:27):
- Set in 2050, describe city life, environmental and societal changes, challenges overcome.
- Review/Editing/Checking Length (0:31-0:36):
- Ensure clarity, flow, and approximate word count.
Bot Output Snippet
In the year 2050, the world had undergone a profound transformation. The streets of cities across the globe buzzed with the quiet hum of electric vehicles (EVs), a testament to the complete transition from traditional combustion-engine vehicles to electric power. This shift was not just a technological evolution but a revolution that had redefined the very fabric of society and the environment.
The environmental changes were nothing short of miraculous. The skies, once tainted with the smog of countless exhaust fumes, had cleared to a pristine blue. Air quality indices soared to unprecedented levels, and respiratory illnesses linked to pollution plummeted. Urban areas, previously plagued by the incessant roar of engines, now enjoyed a serene tranquility, broken only by the gentle whirring of electric motors. The reduction in greenhouse gas emissions was staggering, contributing significantly to the mitigation of climate change. Global temperatures stabilized, and the once-melting polar ice caps showed signs of gradual recovery.
Time Taken: 37 seconds
Readability:
- Flesch-Kincaid Grade Level: 14
- Flesch-Kincaid Score: 13.75
Summary Length: 482 words
Analysis
- Creative Storytelling: Vivid, believable future world.
- Comprehensive Coverage: Environmental, societal, economic, and cultural impacts.
- Well-Structured Narrative: Logical flow and engaging for readers.
- Adherence to Instructions: Near target word count, covers prompt requirements.
- Readability: Appropriately complex for narrative fiction.
Conclusion: Envisioning a Future Powered by AI Innovation
This exploration, spanning five diverse tasks, has illuminated the impressive capabilities of AI agents, particularly through the lens of the hypothetical “GPT-4 Vision Preview
Frequently asked questions
- What makes GPT-4 Vision Preview unique as an AI agent?
GPT-4 Vision Preview stands out by integrating both text and image data, enabling it to generate contextually aware and intelligent responses for a wide range of tasks, from content creation to complex problem-solving.
- How does GPT-4 Vision Preview process and generate content?
The AI agent systematically analyzes prompts, breaks down tasks into smaller steps, and blends multiple data types—text and images—to generate coherent, logical, and well-structured outputs tailored to user needs.
- In what ways can AI agents like GPT-4 Vision Preview improve workflows?
By automating tasks such as content generation, calculations, summarization, and creative writing, AI agents enhance productivity, provide expert-level analysis, and enable users to tackle complex challenges more efficiently.
- Does GPT-4 Vision Preview only generate text-based content?
No, GPT-4 Vision Preview is capable of processing and integrating both text and visual data, allowing it to deliver richer, more contextually relevant outputs for diverse applications.
- What are the main limitations or areas for growth with current AI agents?
While highly proficient, current AI agents may occasionally encounter calculation inaccuracies or minor formatting issues. Continuous development is focused on improving precision, adherence to instructions, and expanding creative capabilities.
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