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Prompt Like a Pro

Akanksha Pathak

Most people use AI wrong. This show teaches you how to use it right.

Each episode breaks down real prompts — what works, what fails, and how small changes can completely transform your results. From writing and coding to business and everyday tasks, you’ll learn how to get smarter, faster, and more useful outputs from AI.

No fluff. No theory overload.
Just practical techniques, real examples, and prompts you can use immediately.

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  • 12 episodes
  • Avg 18 min
  • English

Episodes 12

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  • S1 · E12
    June 5 · 20 min

    12. Stop getting generic AI answers

    The content will cover how to avoid these common mistakes: The Vagueness Trap: Using prompts that are too general, which leads the AI to provide generic or irrelevant answers. The Context Gap: Failing to provide background details, which causes the AI to make incorrect assumptions or provide "placeholder" responses. Chatbot "Forgetfulness": The risk of the AI losing track of its initial instructions or "priming" during long conversations, and the need for re-priming. Static Prompting: The pitfall of not iterating or refining your prompt based on the initial output to reach a high-quality result. Security Vulnerabilities: Handling pitfalls like "jailbreaking" attempts or toxic language through special case instructions

  • S1 · E15
    June 3 · 5 min

    11. Mastering the AI Chatbot

    The content will cover how to avoid these common mistakes: The Vagueness Trap: Using prompts that are too general, which leads the AI to provide generic or irrelevant answers. The Context Gap: Failing to provide background details, which causes the AI to make incorrect assumptions or provide "placeholder" responses. Chatbot "Forgetfulness": The risk of the AI losing track of its initial instructions or "priming" during long conversations, and the need for re-priming. Static Prompting: The pitfall of not iterating or refining your prompt based on the initial output to reach a high-quality result. Security Vulnerabilities: Handling pitfalls like "jailbreaking" attempts or toxic language through special case instructions

  • S1 · E10
    June 1 · 39 min

    10. Precision_results_through_inception_level_priming

    I've started creating a deep-dive podcast for you based on the chatbot basics covered in the sources.This episode will focus on the fundamental strategies for interacting with AI, including: Combining techniques like roles and instructions to get more nuanced results. Actionable tips for writing better prompts, such as prioritizing clarity, providing context, and using iterative refinement. Prompt priming, which explains how to "set the stage" for a chatbot to control its tone, structure, and behavior in specific scenarios.

  • S1 · E9
    May 30 · 6 min

    9. Level up your AI prompt

    These educational resources provide a comprehensive guide to prompt engineering, focusing on strategies to enhance the quality and reliability of AI-generated content. The materials emphasize the importance of clarity and specificity, advising users to provide direct instructions and relevant background information to minimize vague results. Key methods discussed include prompt priming, which sets a specific tone or persona for the AI, and the combination of multiple techniques to handle complex tasks. Users are encouraged to adopt an iterative refinement process, continuously testing and adjusting their inputs based on the model's performance. Additionally, the guides cover structural formatting and security measures, such as using specialized instructions to prevent inappropriate outputs or direct cheating in educational tools. Overall, these sources serve as a manual for mastering the nuanced communication required to unlock the full potential of large language models.

  • S1 · E8
    May 23 · 19 min

    8. Direct_AI_from_passenger_to_director

    These educational resources provide a comprehensive guide to prompt engineering, focusing on strategies to enhance the quality and reliability of AI-generated content. The materials emphasize the importance of clarity and specificity, advising users to provide direct instructions and relevant background information to minimize vague results. Key methods discussed include prompt priming, which sets a specific tone or persona for the AI, and the combination of multiple techniques to handle complex tasks. Users are encouraged to adopt an iterative refinement process, continuously testing and adjusting their inputs based on the model's performance. Additionally, the guides cover structural formatting and security measures, such as using specialized instructions to prevent inappropriate outputs or direct cheating in educational tools. Overall, these sources serve as a manual for mastering the nuanced communication required to unlock the full potential of large language models.

  • S1 · E7
    May 16 · 4 min

    Shot based Prompting

    Define and compare shot-based prompting methods, ranging from zero-shot techniques that use no examples to few-shot strategies that provide multiple demonstrations. By utilizing these examples, users can guide Large Language Models to follow specific patterns, extract structured data, or generate creative content with higher accuracy.

  • S1 · E5
    May 2 · 20 min

    The_Original_Rulebook_for_Prompt_Engineering

    In our earlier discussions, we defined a prompt very simply as an instruction you give to an AI. However, to move from basic chatting to effective prompt engineering, you need to understand that a prompt is more than just a sentence; it is a structured set of directions designed to enhance the accuracy and reliability of the AI's response.

  • S1 · E4
    April 25 · 33 min

    Role_Tone_and_Task_Prompt_Architecture

    The guide uses a "Motivating Example" to show how powerful this can be for everyday tasks, like writing emails. Imagine you’re a CEO who needs to check on paper stock, organize a meeting, and get feedback on an AI workshop—all while sounding professional yet humorous. By giving the AI a specific prompt with those details, it can generate a full-length email that strikes the perfect tone, even joking about "tropical nightmares" of running out of paper. The beauty of this is that if the result isn't quite right, you can simply modify the prompt to change the style or even have the AI mimic your specific writing voice.

  • S1 · E3
    April 18 · 3 min

    The Prompt Lab: Mastering the Basics

    Welcome back to the show! Today, we’re diving into a specific corner of the Prompt Engineering Guide that millions of people are looking for: ChatGPT Basics

  • S1 · E1
    April 4 · 18 min

    The_Hidden_Science_of_AI_Prompting

    This episode will serve as an introduction to the world of Generative AI, as outlined in the initial modules of the sources.In this deep-dive, the hosts will explore: What Generative AI is and how it can "create stuff" like articles and images. Fundamental Prompt Structure, including key components like instructions and roles. Prompting Techniques, from zero-shot to few-shot prompting, and how to use examples to guide the AI. Practical Tips and Motivating Examples, such as using AI to save hours by automating email writing. LLM Limitations, discussing when models might make mistakes and how to handle them. The artifact is being generated and will be available in the Studio tab shortly—it usually takes about 10 minutes. Once you've had a chance to check it out, let me know if you'd like to move on to the next episode, which will cover Practical Applications like text summarization, blog writing, and coding assistance.

Showing 1–12 of 12 episodes