Aaron Lynn

    The AI Agents, Automation and Agentic Workflows Guide

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    AI Automation · Online Course

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    In 'The AI Agents, Automation and Agentic Workflows Guide', creator Aaron Lynn delivers a highly practical, actionable roadmap for professionals looking to transition from basic AI prompting to deploying autonomous agentic workflows. As businesses rapidly adopt artificial intelligence, the demand is shifting from manual ChatGPT interactions to systemized agents that operate independently. This course directly addresses that demand by teaching you how to build, optimize, and deploy CustomGPTs, Zapier agents, and multi-agent systems designed to run routine business processes on autopilot. Lynn guides learners through proprietary frameworks like DECIDE, which helps pinpoint high-impact automation opportunities, and the BIG MANGO prompt framework to maximize output reliability. Unlike theoretical overviews, this curriculum focuses heavily on real-world utility, enabling students to construct working agents in mere minutes. You will learn to handle complex, multi-step workflows, troubleshoot agent failures, and confidently demonstrate measurable ROI to stakeholders. Designed for all skill levels, this guide is an essential resource for entrepreneurs, managers, and technical professionals who want to reclaim valuable time, scale their operations, and secure a competitive edge in the evolving AI economy.

    About the creator

    Productivity & Business Systems · Global

    Aaron Lynn
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    Aaron Lynn is a seasoned productivity expert and business systems consultant with more than twenty years of experience helping entrepreneurs, executive teams, and organizations optimize their operations. Over the course of his extensive career, Aaron has specialized in the art and science of structured workflows, time management, and operational efficiency. As emerging technologies have evolved, he has positioned himself at the forefront of the artificial intelligence revolution, consulting directly with business owners on how to seamlessly integrate AI tools, agentic workflows, and automation into their daily routines. Aaron’s teaching philosophy is deeply rooted in practical execution; he avoids theoretical jargon…Show more

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    Program Overview

    Online Course

    Learning format

    AI Automation

    Subcategory

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Build working AI agents in 5 minutes using just ChatGPT - while others waste weeks learning tools they'll never use.
    • Deploy Zapier AI agents that actually run your business processes automatically - not just toy demos.
    • Create multi-agent systems that handle entire workflows - like having a team that never sleeps, never complains, and never quits.
    • Master the BIG MANGO prompt framework that turns ChatGPT into a tireless employee handling your repetitive tasks.
    • Reclaim 10-20 hours every week by delegating the work you hate to AI agents that love it.
    • Use the DECIDE framework to identify exactly which tasks to automate first for maximum impact.
    • Build agents that work 24/7 handling customer inquiries while you're sleeping (or living your life).
    • Fix and optimise AI agents when they break - because they will, and you'll know exactly what to do.
    • Gain the skills to present AI proposals that get approved because you'll show real ROI, not vague promises.
    • Future-proof your career by becoming the person who automates work, not the person whose work gets automated.

    Best For

    • Entrepreneurs and business owners looking to reduce manual overhead through automation.
    • Operations managers aiming to delegate repetitive workflows to autonomous AI systems.
    • Tech-savvy professionals who want to transition from basic prompting to building agentic pipelines.
    • Consultants seeking to offer high-ROI automation solutions to their clients.

    Not For

    • Beginners looking for a surface-level overview of AI history or conceptual philosophy.
    • Developers looking for advanced Python coding tutorials or low-level API infrastructure design.
    • Individuals seeking theoretical data science or machine learning model training content.
    • Learners who prefer strictly academic course materials over hands-on, practical implementation.

    What's included

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