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Super Prompt: Building in the Era of AI Agents

Super Prompt: Building in the Era of AI Agents

Written by: Tony Wan
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AI agents are expanding what one person can build, operate, and own.


They lower the cost of building and operating while making scattered demand easier to reach. That changes the shape of ambition. A company need not be venture-shaped. It can be founder-shaped: focused, durable, and capable of changing its founder’s life without changing the world.


Super Prompt began by exploring how humans work with AI. Now we learn by building.

© 2026 Super Prompt Productions Economics Leadership Management & Leadership
Episodes
  • AI Agents at Work: Scaffold Required

    AI Agents at Work: Scaffold Required
    Dec 3 2025

    We review four clips from the Dwarkesh Patel Podcast with Satya Nadella, Microsoft's CEO. I highly recommend Dwarkesh’s show—technical & nerdy, but excellent.

    Satya talks about scaffolding—the software wrapped around AI models to make them actually work.

    So we speak with someone building that scaffolding: Neil McKechnie runs two AI-first startups as a CTO.

    He discusses how he orchestrates up to twelve different language models—GPT-5, Claude, Gemini, Llama, Mistral, Cohere, Perplexity.

    We discuss what it actually takes to build production systems with LLMs today—and what that reveals about the agent future we’re being pitched.

    Dwarkesh's Podcast: https://www.youtube.com/@DwarkeshPatel

    To stay in touch, sign up for our newsletter at https://superprompt.substack.com
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    40 mins
  • Whose Agent Is It Anyways?

    Whose Agent Is It Anyways?
    Nov 7 2025

    Description:

    AI agents from OpenAI, Google, and Anthropic promise to act on your behalf—booking flights, handling tasks, making decisions. What kind of agency do these systems actually have? And whose interests are they serving?

    Enterprise AI agents are already deployed in customer support, code generation, and task automation. Consumer agents—ChatGPT Agent Mode, personal task assistants—face a wider gap between marketing promises and actual capabilities.

    The alignment problem: agents need access to your calendar, email, and personal preferences to help you effectively. But the agent that knows you well enough to serve you is also positioned to steer you. When you delegate decisions to an agent, who decides what success looks like?

    To stay in touch, sign up for our newsletter at https://superprompt.substack.com
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    16 mins
  • AI Safety: Constitutional AI vs Human Feedback

    AI Safety: Constitutional AI vs Human Feedback
    Jun 17 2024

    With great power comes great responsibility. How do leading AI companies implement safety and ethics as language models scale? OpenAI uses Model Spec combined with RLHF (Reinforcement Learning from Human Feedback). Anthropic uses Constitutional AI. The technical approaches to maximizing usefulness while minimizing harm. Solo episode on AI alignment.

    REFERENCE

    OpenAI Model Spec

    https://cdn.openai.com/spec/model-spec-2024-05-08.html#overview

    Anthropic Constitutional AI

    https://www.anthropic.com/news/claudes-constitution



    To stay in touch, sign up for our newsletter at https://superprompt.substack.com
    Show More Show Less
    17 mins
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