Episode

# 173 The $5K AI offer that costs $9 to fulfill (how to build and sell it)

Podcast
Build With AI
Published
Jun 18, 2026
Duration seconds
2753
Processing state
not_requested
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https://share.transistor.fm/s/27133b67
Audio
https://media.transistor.fm/27133b67/53058476.mp3
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/v1/public/podcasts/build-with-ai-6407453/episodes/173-the-5k-ai-offer-that-costs-9-to-fulfill-how-to-build-and-sell-it
Markdown
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Summary

LIMITED bonus from Hyperagent: First 1,000 people get $1,000 in free Hyperagent credits. Claim yours: https://www.hyperagent.com/corey I brought on Alex McDonnell from HyperAgent, which is the new agentic platform built by the team at Airtable, and we walked through a full business model for selling AI services to local brick-and-mortar businesses. The play is simple: use agents to find businesses with great reviews but terrible or nonexistent websites, have HyperAgent build them a new site automatically, then lead with that as a free tripwire offer. We go deep on the real upsell, which is revenue-driving systems like speed to quote tools for landscapers and mechanics that close deals faster. By the end of this episode, you'll have a complete offer structure you can take to any local business owner this week. Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about Timestamps 00:00 – Intro 00:43 – What HyperAgent is and the business model concept 02:19 – Why this outreach wasn't possible before AI agents 05:16 – The command center for managing agent-built prospects 07:59 – Website before and after: Veslo Family Restaurant 10:36 – How HyperAgent judges website quality on its own 15:10 – Speed to quote system for a landscaping business 19:53 – Why zero landscapers in your city have this yet 22:55 – Pricing the offer: $5-10K setup plus monthly retainer 26:14 – Live build: speed to quote for CS Automotive 27:35 – Plan mode vs execute mode in HyperAgent 30:39 – Running agents on a Kanban board in Airtable 33:30 – Selling the agent itself as the product 37:03 – Agent marketplace and the compute markup model 38:05 – Live result: the CS Automotive quote tool finishes 42:2…