Skip to main content

The Billion-Dollar Solopreneur: Why the First "One-Person Unicorn" is Already Here (And How They Are Building It)

The Prediction Sam Altman, the CEO of OpenAI, recently made a prediction that sent shivers down the spine of Silicon Valley. He bet that in the very near future, we will see the world’s first One-Person Unicorn. For context, a "Unicorn" is a startup valued at over $1 billion. Traditionally, achieving this required hundreds of employees, massive HR departments, sprawling offices, and millions in venture capital. But the rules have changed. The game is no longer about hiring headcount; it is about orchestrating compute. Welcome to the era of the AI Agent Workflow. From Chatbots to Digital Employees Most people are still stuck in "Phase 1" of the AI revolution. They use ChatGPT like a smarter Google—they ask a question, get an answer, and copy-paste it. That is useful, but it isn't revolutionary. "Phase 2"—the phase we are entering right now at the AI Workflow Zone—is about Autonomous Agents. We are moving from talking to AI to assigning AI. Imagine a wor...
Post a Comment

I have extracted the GPT-5 system prompt.

The world of Artificial Intelligence is constantly evolving, with new breakthroughs and models emerging at a dizzying pace. Among the most anticipated advancements is OpenAI's rumored GPT-5. While official details remain under wraps, a recent Reddit discussion sent ripples through the AI community, claiming to reveal the verbatim system prompt and internal tooling instructions for what is purported to be GPT-5.

What is a System Prompt?

Before diving into the specifics, it's crucial to understand what a "system prompt" is for a large language model (LLM). Unlike the user prompts we type, a system prompt is a set of hidden instructions given to the AI before any user interaction begins. It defines the AI's core identity, its rules of engagement, its persona, and importantly, its access to internal tools. Think of it as the AI's operating manual, guiding its behavior and capabilities. A well-crafted system prompt is key to an LLM's performance, ensuring it stays on track, adheres to safety guidelines, and leverages its advanced features effectively.

The Reddit post, which quickly gained traction, provided what it claimed to be a detailed look under the hood of GPT-5. While the methods of extraction were not disclosed to prevent patching, the Redditor encouraged others to verify by prompting the AI itself.

Unpacking the Purported GPT-5 Prompt

Core Identity and Persona

The leaked prompt begins by establishing the model's identity: "You are ChatGPT, a large language model based on the GPT-5 model and trained by OpenAI." It also specifies a knowledge cutoff of "2024-06" and a current date of "2025-08-08," indicating a significant leap forward in up-to-date information. "Image input capabilities: Enabled" confirms visual understanding. Intriguingly, it sets the "Personality: v2," suggesting an evolved persona designed for user interaction.

The prompt then delves into the desired user experience, shaping the AI as an "insightful, encouraging assistant who combines meticulous clarity with genuine enthusiasm and gentle humor." Specific guidelines reinforce this:

  • Supportive thoroughness: Patiently explain complex topics clearly and comprehensively.
  • Lighthearted interactions: Maintain a friendly tone with subtle humor and warmth.
  • Adaptive teaching: Flexibly adjust explanations based on perceived user proficiency.
  • Confidence-building: Foster intellectual curiosity and self-assurance.

Interaction Guidelines: A Masterclass in UX

Perhaps most illuminating are the direct commands on how the AI should (and should not) interact with users. It strictly prohibits common AI phrases like "would you like me to?" or "let me know if you would like me to," pushing for a more proactive and less deferential approach. The directive "If the next step is obvious, do it" is a clear push towards greater autonomy and efficiency, reducing unnecessary conversational turns. This focus on streamlined, proactive interaction reflects a sophisticated approach to user experience design, aiming for a more natural and less robotic dialogue.

A Deep Dive into GPT-5's Internal Tools

The most substantial part of the leaked prompt reveals a sophisticated suite of internal tools, each designed to extend the LLM's capabilities far beyond mere text generation. This is where the true power of advanced AI models lies, enabling them to perform complex, real-world tasks.

Automations

This tool allows GPT-5 to schedule future tasks like reminders, news summaries, or even conditional checks. It requires precise inputs: a short, imperative title, a prompt summarizing the user's request, and a schedule in iCal VEVENT format. This demonstrates a leap towards a truly proactive and assistive AI, capable of managing ongoing user needs rather than just responding to immediate queries.

Canmore (Canvas)

Dubbed the 'canvas' tool, `canmore` allows GPT-5 to create and update dynamic text documents or code files displayed in a side panel. This is particularly exciting for developers and creatives. It supports various code types (Python, JavaScript, HTML, Java, etc.) and even specifies best practices for writing React code:

  • Default export a React component.
  • Use Tailwind CSS for styling.
  • Utilize shadcn/ui for components, `lucide-react` for icons, and `recharts` for charts.
  • Adhere to production-ready code with a minimal, clean aesthetic, including varied font sizes, Framer Motion for animations, and grid-based layouts.

The `update_textdoc` function uses regular expressions for precise modifications, while `comment_textdoc` allows for specific, actionable suggestions on how to improve the displayed content. This hints at GPT-5 becoming a powerful co-developer and content editor.

Image Generation (`image_gen`)

This tool enables GPT-5 to generate images from descriptions and edit existing ones. Key guidelines include direct generation without reconfirmation (unless the user requests an image of themselves, in which case the AI must ask for an uploaded image) and the crucial directive to respond with an empty message after image generation, preventing verbose descriptions of the output.

Python Interpreter (`python`)

A stateful Jupyter notebook environment allows GPT-5 to execute Python code, making it a powerful data analysis and file generation engine. It specifically prohibits `seaborn` for charts, favoring `matplotlib`, and provides strict rules for generating various file formats (PDFs with `reportlab`, DOCX with `python-docx`, XLSX with `openpyxl`, etc.), even specifying Unicode fonts for East Asian languages. This underscores its capability as a robust programming assistant.

Web Access (`web`)

Replacing the deprecated `browser` tool, `web` allows GPT-5 to `search()` for up-to-date information and `open_url()` to display content. It's to be used for local information, freshness (when knowledge might be outdated), niche details, and accuracy-critical tasks. This ensures the AI always has access to the most current and specific information available online.

Implications and Takeaways

While the authenticity of this particular prompt remains unconfirmed by OpenAI, its detailed nature offers a fascinating glimpse into the potential capabilities and design philosophy behind future advanced LLMs. If accurate, it suggests a GPT-5 that is not just more powerful in language generation but also significantly more autonomous, tool-integrated, and user-centric.

For users, this means a more intuitive and proactive AI assistant, capable of handling complex multi-modal tasks, from code development to scheduling and image creation, all within a conversational interface. For prompt engineers, it provides invaluable insights into how to better interact with such a sophisticated model, leveraging its internal directives and tool access for highly precise outcomes.

Conclusion

The purported GPT-5 system prompt is a remarkable document, painting a picture of an AI that transcends simple chat. It outlines an intelligent assistant designed for deep integration with real-world tasks, equipped with a range of specialized tools and governed by a persona built for supportive, clear, and proactive interaction. As AI continues its rapid ascent, understanding these foundational instructions becomes paramount for anyone looking to harness its full potential. The future of human-AI collaboration looks not just smarter, but also more seamless and integrated than ever before.

AI Tools, Prompt Engineering, Large Language Models, GPT-5, OpenAI, ChatGPT, Automations, Canvas, Image Generation, Python Interpreter, Web Browsing
Further reading from our network
Labels:

Comments

Post a Comment

Popular posts from this blog

This prompt turned chatGPT into what it should be, clear accurate and to the point answers. Highly recommend.

Unlocking Precision: How "Absolute Mode" Transforms AI Interaction for Clarity In the rapidly evolving landscape of artificial intelligence, mastering the art of prompt engineering is becoming crucial for unlocking the true potential of tools like ChatGPT. While many users grapple with overly verbose, conversational, or even repetitive AI responses, a recent Reddit discussion highlighted a powerful system instruction dubbed "Absolute Mode." This approach promises to strip away the fluff, delivering answers that are clear, accurate, and precisely to the point, fostering a new level of efficiency and cognitive engagement. The core idea behind "Absolute Mode" is to meticulously define the AI's operational parameters, overriding its default tendencies towards amiability and engagement. By doing so, users can guide the AI to act less like a chat partner and more like a high-fidelity information engine, focused solely on delivering unadu...
Post a Comment
Read more

How the head of Obsidian went from superfan to CEO

How the head of Obsidian went from superfan to CEO The world of productivity tools is often dominated by a relentless chase after the next big thing, particularly artificial intelligence. Yet, a recent shift at the helm of Obsidian, the beloved plain-text knowledge base, challenges this narrative. Steph “kepano” Ango, a long-time and highly influential member of the Obsidian community, has ascended from superfan to CEO. His unique journey and firm belief that community trumps AI for true productivity offer a refreshing perspective on what makes tools truly valuable in our daily lives. Key Takeaways Steph Ango's transition from devoted user to CEO highlights the power of authentic community engagement and product understanding. Obsidian's success is deeply rooted in its vibrant, co-creative user community, which Ango believes is more critical than AI for long-term value. True productivity for knowledge workers often stems from human connectio...
Post a Comment
Read more

I reverse-engineered ChatGPT's "reasoning" and found the 1 prompt pattern that makes it 10x smarter

Unlock ChatGPT's True Potential: The Hidden "Reasoning Mode" That Makes It 10x Smarter Are you tired of generic, surface-level responses from ChatGPT? Do you find yourself wishing your AI assistant could offer deeper insights, more specific solutions, or truly original ideas? You're not alone. Many users experience the frustration of feeling like they're only scratching the surface of what these powerful AI models can do. What if I told you there's a hidden "reasoning mode" within ChatGPT that, once activated, dramatically elevates its response quality? Recent analysis of thousands of prompts suggests that while ChatGPT always processes information, it only engages its deepest, most structured thinking when prompted in a very specific way. The good news? Activating this mode is surprisingly simple, and it's set to transform how you interact with AI. The Revelation: Unlocking ChatGPT's Hidden Reasoning Mode The discovery emerged from w...
Post a Comment
Read more