『Automate Your Agency』のカバーアート

Automate Your Agency

Automate Your Agency

著者: Alane Boyd & Micah Johnson
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Alane Boyd and Micah Johnson, co-founders of Biggest Goal, on using Claude and other AI agents to get real work done. Weekly, practical, and focused on what they know works after helping 300+ teams.

© 2026 Biggest Goal
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  • Special Announcement! (New things coming)
    2026/08/17

    Automate Your Agency is taking a short break and coming back as something different. Alane Boyd and Micah Johnson are reimagining the show to match where AI actually sits (and shouldn't sit!) in a business today.

    The questions listeners send in have moved well past “how do I automate this workflow.” They now cover finance, marketing, executive teams, and everything in between, and the show is being rebuilt to match.

    What’s changing:

    • A new name and a new brand for the show, arriving after a couple of weeks off recording
    • Same feed, same place to listen, so there is nothing to re-subscribe to
    • Every past episode stays available; the back catalog is not going anywhere
    • Deeper use-case episodes across finance, marketing, and executive teams
    • An open call for topics, because the next format is being shaped around what listeners ask for

    Send over the topics you want covered!

    This episode is brought to you by Biggest Goal, the company Alane Boyd and Micah Johnson co-founded.

    Fifteen years of scaling their own companies taught them that adoption is a people problem long before it's a technology problem, so we train executives and their teams through workshops, cohorts, mastermind groups, and hands-on implementation support.

    For more info about our programs, join our free community at your.biggestgoal.ai.

    Thank you for supporting the podcast!

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    1 分
  • AI Meat Proxies and Workslop
    2026/08/10

    Someone on your team ran a task through AI and forwarded the output without reviewing it. That person was a Meat Proxy and just generated Workslop. Yuck!

    Alane Boyd and Micah Johnson break down these two terms, which sound like they should be in food manufacturing, and describe exactly what can go wrong inside AI-forward companies.

    In this episode, you’ll learn:

    • How to tell a meat proxy from someone using AI well and why knowing the desired outcome is the whole difference
    • What your colleagues actually think when they spot unread AI output, backed by the numbers on trust and credibility
    • The tells that give workslop away, from verbose answers to ignored brand guidelines
    • Why “train your team” isn’t enough unless you define what the right way to use AI looks like at your company
    • How making AI use visible turns a shameful shortcut into a useful handoff
    • The one requirement that forces people to read the output before it leaves their desk

    If your team is moving fast with AI and you’ve started to notice the quality slipping, this conversation names the problem and gives you several things to change today.

    This episode is brought to you by Biggest Goal, the company Alane Boyd and Micah Johnson co-founded.

    Fifteen years of scaling their own companies taught them that adoption is a people problem long before it's a technology problem, so we train executives and their teams through workshops, cohorts, mastermind groups, and hands-on implementation support.

    For more info about our programs, join our free community at your.biggestgoal.ai.

    Thank you for supporting the podcast!

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    32 分
  • Claude + Google Ads
    2026/08/03

    Free Resources & Next Steps

    • Free Claude Cowork Webinar | 8/19: https://bit.ly/ClaudeCoworkWebinar_819
    • Free Claude Cowork Masterclass: https://www.biggestgoal.ai/l/cowork-masterclass
    • Claude Cowork Starter Kit: https://www.biggestgoal.ai/l/cowork-starter-kit
    • Claude Cowork Workshop: https://www.biggestgoal.ai/l/cowork-workshop
    • Get our free daily AI News Brief: https://bit.ly/BiggestGoalCommunity

    About the episode:

    Micah Johnson built a fully functional Google Ads lead system using Claude, and it's generating real leads without a specialist or an agency involved. In this episode, him and Alane Boyd walk through every layer of the build: campaign research, ad copy, conversion tracking, the CSV export workflow, and the daily AI-powered review that keeps it running.

    If you've ever tried to run paid ads and gotten stuck in the weeds of conversion tracking, keyword strategy, or Google Analytics event setup, you know how painful it is. Most businesses either give up or hand it off to an expensive agency. Alane and Micah found a third way, and the results are already coming in.

    In this episode, you'll learn:

    • How to use Claude to research and build a full Google Ads campaign from scratch, no specialist required
    • The MCP-plus-CSV workflow that lets Claude do the heavy lifting on Google Ads without touching the account directly
    • Why heat map data mattered so much, and how Microsoft Clarity revealed visitors were copying their answers and leaving instead of converting
    • How they qualified leads at scale with Claude, and what 300+ leads taught them about a blind spot in their own targeting
    • The daily routine that pulls Google Ads, Analytics, heat map, and lead data into one place for a single recommendation
    • How the leadership team stays in the loop with zero manual reporting, through a Slack channel and a shared Cowork dashboard

    🛠️ Tools & Platforms Mentioned

    • Claude: AI used for campaign research, ad copy, tracking setup, and daily analysis
    • Claude Code: Used for writing JavaScript event tracking code and tagging
    • Claude Cowork: Used for shared leadership dashboards and presenting campaign results
    • Google Ads: The paid advertising platform used for the campaigns
    • Google Ads Desktop App: Used to upload Claude-generated CSV files and push live
    • Google Analytics: Used for tracking events and conversion data
    • Microsoft Clarity: Heat mapping tool used to analyze landing page behavior (rage clicks, copy-paste behavior)
    • Slack: Used for daily lead and campaign analysis digest for the leadership team
    • MCP (Model Context Protocol): Used to give Claude read-only access to Google Ads data

    Learn More about our AI Leadership Workshop

    Winning businesses aren’t just working harder, they understand how to use AI strategically. Sign up for the AI Leadership Workshop, a 3-hour expert-led mastermind designed to give leadership teams clarity, alignment, and a practical path to stay competitive.

    Book a call to customize your workshop today!

    This episode is brought to you by Biggest Goal, the company Alane Boyd and Micah Johnson co-founded.

    Fifteen years of scaling their own companies taught them that adoption is a people problem long before it's a technology problem, so we train executives and their teams through workshops, cohorts, mastermind groups, and hands-on implementation support.

    For more info about our programs, join our free community at your.biggestgoal.ai.

    Thank you for supporting the podcast!

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    25 分
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