23d (edited) • DailySigh.ai
Coming Next Week + Weekly Recap - The Daily Sigh
Next week you won't want to miss it.
📅 Tuesday, April 14 : Tommy Mello is joining the live.
Tommy built A1 Garage Door Service from $50K in personal debt into a company approaching a billion-dollar valuation across 10 states. Inc. columnist, Apple top 50 podcast host, and one of the sharpest operators in the home services world.
If you run a trades or field service business, or just want to hear how someone built a blue-collar empire at scale, show up and bring your questions.
Don't forget:
April 14
6pm EST
👉 The link is in the calendar
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Last week on The Daily Sigh...
💬 The chat had some gems this week. Check it out here: DailySigh_WeeklyChat
Three guests, three very different angles on where business and AI are heading. Here's the short version.
🎯 Wednesday, April 1 | John Moran — The New Rules of Paid Media
John Moran, one of the most respected media buyers in direct response, came on to share one uncomfortable truth: the media buyer is now secondary to the creative team. Meta's Andromeda model handles targeting on its own. Your only real lever is the quality and structure of your content.
▸ Hook rate above 25% is the number that matters. Below that, Meta stops showing your ad to new people.
▸ Build content for each funnel stage and let the algorithm route it. Stop trying to control who sees what.
▸ He reversed six months of losses in one account by shutting off 191 ads and restructuring around better storytelling. No new targeting. No budget tricks.
"Media buying can't cure a bad business model anymore."
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🎯 Wednesday, April 8 | Grant Fuellenbach — Notebook LM as a Business Tool
Grant builds AI systems for contractors and builders, and he's one of the most creative Notebook LM users you'll find. The session was a live walkthrough of how he uses it across client work, content, and ops.
▸ Load competitor YouTube channels to reverse-engineer their playbook, then bring the findings into Claude to compare against your own strategy.
▸ Drop a meeting transcript plus a client's brand guidelines to generate a personalized follow-up video in their own colors and messaging.
▸ Use it as a first-line knowledge base so your team stops asking you everything.
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🎯 Thursday, April 9 | Allan Hansen — Intelligent Context and the Future of AI Agents
Allan has spent 25 years studying AI systems. His main point: we've been obsessing over how to retrieve context while ignoring whether the model actually understands the rules embedded in it.
▸ Build a structured knowledge base using linked markdown files instead of relying on vector search alone. You own it and it outperforms RAG for most business use cases.
▸ Use three lightweight agents: one compiles raw info, one maintains and checks it, one answers queries.
▸ Targeted context beats comprehensive every time. Bloated context windows make models less reliable, not more.
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Gina Arroyo
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Coming Next Week + Weekly Recap - The Daily Sigh
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