Three landing pages in six months used to be a good year for Alane Boyd and Micah Johnson. With a Claude-powered marketing system, they have published more than 70 in a few months, and it now brings in about 300 leads a month. In this episode, they walk through the whole system, one element at a time.

If you have no marketing team and still need more leads, this is the conversation to hear. The hosts show where Claude does the building, where they still make every call, and why the hard part of marketing moved instead of disappearing.

In this episode, you’ll learn:

• How to find the problems your leads actually have by giving Claude your sales call transcripts and lead form answers
• Why one homepage for all your traffic fails and how templates in Claude Design make a page per problem practical
• How Claude Code publishes to Webflow with a preview for your approval before anything goes live
• How to build ads from the page you just published using skills in Claude Cowork, starting with Google Ads
• Why a separate lead database changed everything, and why it started as the crappiest possible version
• Where your effort should go now that the build takes minutes

If you want a marketing engine without hiring a marketing department, press play and start with the system the hosts run every day.

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!

Building a slide deck by hand has been a time-consuming endeavor, until now.

Alane Boyd and Micah Johnson break down how to connect Claude to the systems that hold your data, pull the information, analyze it, and then create an on-brand, template-powered slide deck in minutes, not hours.

If you're currently creating slide decks by exporting reports, reformatting numbers, fighting a master slide, and then emailing a PowerPoint file around for feedback, this episode is for you.

In this episode, you’ll learn:

• Why the manual part is the data, not the design, and how connectors remove it
• What a design system actually is, described as a fancy way of saying your brand guidelines
• How to turn a call transcript into a deck instead of starting from numbers every time
• What to say to a design team that does not want to hand over the template
• How to get feedback with Claude Design using in-context comments that pass straight back to Claude
• How a 60-slide deck was fully animated with a single prompt and no edits

The episode also debuts the "BO Report" (Biggest Obstacle), a new closing segment on the biggest obstacle that teams face related to the episode topic.

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!

Bank reconciliation is the task everyone wants to automate, and before today's AI tech, nobody could. Alane Boyd and Micah Johnson explain why it stayed manual for so long, then walk through the exact prompt that turns eight to ten hours of line-item matching into a short 10 min review.

When you export your statements from your bank and QuickBooks (or another accounting platform), there are no matching IDs, no shared descriptions, and nothing a traditional automation could key off; somebody had to sit down and compare them line by line, and that somebody was expensive.

In this episode, you’ll learn:

• Why rules-based automation could never reconcile your books and what changed when AI could read AWS, Amazon Web Services, and Amazon Web SVCS as one vendor
• The three-rule starting prompt that matches on description, amount, and a three-day date window
• How to read the exceptions when AI explains that a check has not cleared or a bank fee has not hit QuickBooks yet
• How to turn the first run into a reusable skill so you never re-explain your setup again
• Where the human stays in the loop, because the matching is low-value work and the exceptions are not
• How the same approach applies to investment property statements, media buys, and anything else with two lists that should agree

Reconciliation might be a boring task, but that's exactly why it is a great place to point AI first. Press play and start automating your reconciliation workflow this week.

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!