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Your automations are probably more fragile than you think—and costing you way more time than they should. Micah started the year convinced there was no real difference between AI agents and regular automation workflows. He was wrong, and now he's obsessed.

In this eye-opening episode of Automate Your Agency, Alane and Micah break down the five (plus a bonus) critical differences between traditional A-to-B automation and AI agent workflows that are revolutionizing how smart businesses operate. They reveal why your current automations break every time someone adds an apostrophe or changes a date format—and how agents eliminate that technical debt forever.

From chat interfaces that let you refine outputs in real-time to agents that can retry failed tasks and fix their own errors, this episode shows you exactly why the future of automation is here. You'll discover how agents access databases, handle unstructured inputs, and choose their own tools—just like training the perfect intern who never needs a coffee break.

In this episode, you'll discover:

• Why traditional workflows require mapping every single scenario (and agents don't)
• How chat interfaces transform automation from rigid to conversational
• The database access that makes agents context-aware and incredibly smart
• Real examples of agents fixing their own JSON errors and date format issues
• Why you can stop building dropdown forms and rigid input requirements
• How agents reduce technical debt and scale with your changing business

This isn't about replacing automation—it's about building systems that think, adapt, and grow with you. If you're tired of automations that break every time you make a small change, or if you want to build workflows in minutes instead of weeks, this episode gives you the roadmap to agent-powered operations.

Ready to explore AI agents for your business? Visit biggestgoal.ai for resources and tools to get started.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

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Alane and Micah tackle one of the most crucial yet overlooked principles in business automation: never automate a process you haven't done manually first. Through real examples from their own business, they demonstrate why the "manual first" approach saves time, money, and prevents costly rebuilds.

They share a detailed case study from Alane's podcast guest booking process, revealing how manual work uncovered hidden business value that would have been missed in premature automation. They explain how doing processes manually first reveals critical nuances, decision points, and the true ROI of automation projects.

This episode is essential listening for business owners who want to automate smart, not just fast.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

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Ever hire someone with great experience, only to watch them struggle with basic tasks in your company? You assume they "should know this stuff," but they're sitting there paralyzed, afraid to make the wrong move.

Here's the uncomfortable truth: your training process is broken, and it's costing you more than just productivity.

In this episode, Micah and Alane reveal why even the most experienced hires can't succeed without proper company-specific training. Using Walmart's intensive cash register training as a surprising business lesson, they break down what separates companies that scale from those stuck in firefighting mode.

You'll discover:

• Why "they should figure it out" is killing your team's confidence and efficiency
• The marketing analogy that will completely change how you approach training
• How AI and RAG systems are revolutionizing employee knowledge access
• Why one training session sets everyone up to fail

Stop assuming your team knows your company's way of doing things. Every minute you delay proper training is another hour you'll spend answering questions, fixing mistakes, and wondering why your "good people" aren't performing.

This episode gives you the framework to build training that actually sticks—so you can finally step out of constant firefighting mode.

Resources mentioned:

• Check out our BRAIN program to stay up to date on how AI can be integrated into your business!
• EP 61: The AI technology that eliminates bottlenecks
• Free Resources & Courses

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

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Are you drowning in AI terminology and wondering which tools will actually move the needle in your agency? Custom GPTs, AI assistants, AI agents—everyone's throwing around these terms, but nobody's explaining what you should actually be using.

In this episode, Alane teams up with Beau Cunningham to cut through the confusion and give you a crystal-clear breakdown of when to use what. No more wondering if you're missing out on the "better" solution.

You'll discover:

• The real difference between GPTs and AI agents (and why it matters for your workflow)
• How to train a custom GPT on client knowledge so new team members aren't starting from scratch
• Why GPTs require conversation while agents actually do the work for you
• A live example of their automation tool that's been running for years

Stop second-guessing your AI strategy. Beau and Alane break down exactly which tool solves which problem, so you can pick the right solution and start seeing results immediately.

Whether you're just getting started or ready to level up your current AI setup, this episode gives you the roadmap to make smart decisions about your AI stack.

See a custom GPT in action by testing out Willy the Workflow Wizard! He's powered by a custom GPT that is supported by automation. Check him out here!

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

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Ever felt like your business knowledge is trapped in your team’s heads—or worse, just yours? In this episode of Automate Your Agency, Alane and Micah reveal how to turn live idea sharing into a competitive asset, not just another bullet point in your operations manual.

They pull back the curtain on their three-layered approach: real-time sharing in Slack, focused weekly knowledge share meetings, and a killer AI agent that auto-documents solutions and use cases so knowledge becomes searchable by the whole team. It's not just for coders—marketing, sales, and client ops are all in on the action too.

You’ll hear why accidental bottlenecking happens, how to break it (for good), and why documentation beats heroics every time. Alane and Micah get specific about structuring minimalist meetings (that don’t suck), the role of use-case libraries, and what founders can do to avoid being company knowledge hoarders.

Want the prompts and use cases that our team has uncovered? Get them at the links below!

Get our 40+ AI Agent Use Cases: https://bit.ly/41bu9C1

Get our 30+ AI Prompts: https://bit.ly/47vKllk

If you've ever wanted tools to make your agency more resilient (and finally stop hearing "Only Lisa knows how that works!"), this episode is a must-listen.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

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While technical skills are a big part of AI implementations a passion for problem-solving might just be what matters most.

Alane and Micah dive into the real secret behind successful AI implementations - and it's not what most business leaders expect. After working with 150+ companies over 6 years, they've seen HR professionals become AI champions while seasoned developers resist change.

In this episode, you'll discover:

• The 4 essential roles every AI-powered business needs (and why your IT team might not be one of them)
• How to identify your hidden AI champions across unexpected departments
• Why knowledge sharing is the difference between one AI rockstar and an entire AI-powered team
• Real examples of companies finding their champions in accounting, customer service, and HR
• The mindset shift that separates thriving AI adopters from those still stuck in manual processes

This isn't about hiring the most technical people or spending the biggest budget on AI tools. It's about creating a culture where AI makes everyone better at their job. If your competitors are experimenting with AI while your team is still copying and pasting data between systems, this episode shows you exactly how to catch up and pull ahead.

Ever wondered why some companies seamlessly adopt AI while others struggle? The answer isn't in their technology stack - it's in their people strategy.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

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We've all dreamed of it: feeding our AI all our business knowledge and just asking questions. It felt like science fiction—until now. RAG databases are the breakthrough technology that finally makes institutional knowledge accessible to your entire team in seconds.

In this episode, Micah and Beau dive deep into Retrieval Augmented Generation—and yes, they acknowledge it's probably the worst-named technology ever invented. But beneath that terrible acronym lies the solution to one of business's most persistent problems: knowledge bottlenecks.

Here's what makes RAG different: instead of training new team members for months, they can access every solution you've ever created by week two. Instead of your sales team saying "let me get back to you" on technical questions, they have instant answers. Instead of routing every complex question to the same three senior people, anyone on your team can query your entire knowledge base.

RAG works by taking your existing documents—from Google Drive, SharePoint, or any cloud storage—and making them instantly searchable through AI. The technology breaks down your content into searchable chunks, creates relationships between information, and serves up exactly what your team needs when they need it.

In this episode, you'll hear:

• Why RAG databases are the missing piece in most business AI strategies
• How to sync your existing cloud storage directly to an AI-friendly database
• Real examples of eliminating knowledge bottlenecks in customer service, sales, and training
• The step-by-step setup process for implementing RAG in your business
• Why this technology changes everything about team onboarding and productivity

This isn't just another AI trend—it's the technology that transforms how your team accesses and uses company knowledge. If you've ever felt like critical information is locked in someone's head, this episode is your roadmap to freedom.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

Want more valuable content and helpful tips?

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Your team is probably using AI wrong, and it's costing you time, money, and results. That's the reality Alane and Micah see with most business owners who think "AI" means just ChatGPT—when there's actually a whole garage of different engines to choose from.

In this episode of Automate Your Agency, they break down their favorite car analogy that finally makes AI model selection crystal clear. You'll discover why using GPT-4 for simple tasks is like driving a V12 to the grocery store—overkill and expensive—while using the wrong model for complex work leaves you stranded.

They dive deep into the real differences between ChatGPT, Claude, and Perplexity, sharing exactly when to use each one for maximum impact. From Claude's deep research capabilities to Perplexity's live web data and GPT's versatility, you'll learn how to match the right AI engine to your specific business needs.

In this episode, you'll discover:

• Why your team gets inconsistent AI results (hint: it's not just prompting)
• The exact models Alane and Micah use for different business tasks
• How to mix and match AI models within automation workflows
• Real examples like pulling Google reviews with location-specific searches
• When to stop doing manual AI work and start automating it
• The critical difference between training data vs. live web search

This isn't about picking one AI and sticking with it—that's leaving money on the table. Smart business owners test drive different models and use the right tool for each job. If your team is frustrated with AI results or you're overpaying for simple tasks, this episode gives you the framework to optimize your AI strategy immediately.

Ready to implement smarter AI workflows? Grab our 25 AI prompts guide with department-specific use cases by requesting it here.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.

Want more valuable content and helpful tips?

Explore our Courses/Programs:

• Complete our self-paced Process Mapping course

Enjoy our Free Tools:

• Free Asana, ClickUp, or Monday.com Selector Tool
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Connect with Us:

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