『He Fed 500,000 Emails Into an AI Copy of Himself』のカバーアート

He Fed 500,000 Emails Into an AI Copy of Himself

He Fed 500,000 Emails Into an AI Copy of Himself

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概要
 Drew Morgans spent 15 years and around $50,000 building an AI trained on his own work, and it now helps run his Amazon agency.SummaryDrew Morgans, founder of the Amazon and marketplace agency Marknology, returns to the eCommerce Podcast for a conversation that is all about AI in the real world rather than the hype. Drew explains how he fed 15 years of his own work into an AI system, roughly 500,000 emails, around 300 podcast episodes, blogs, SOPs, playbooks and won and lost proposals, to build something that thinks the way he does. The pair get into the practical build behind it, why context is the hard part, how he keeps his running costs sane by using cheap local models for ingest and expensive frontier models only for client-facing work, and why he chose a single "super agent" over a crowd of specialist bots. Matt and Drew also compare notes on being founders who came up through code, stepped away, and have now picked it back up. It is a generous, concrete look at where AI actually pays off for an ecommerce operator, and where it does not.Turning 15 Years of Work Into an AI That Thinks Like HimDrew describes the shift from using AI for one-off tasks to building a system trained on his own history. He ingested roughly 500,000 of his own emails, around 300 podcast episodes, blogs, SOPs, playbooks and old proposals, turning past work into present value."I really needed a copy of me." - Drew Morgans"The real meat's in the emails." - Drew MorgansThe starting point was helping himself first, then rolling the tools out to his bookkeeper, design team and wider team.Old work he had already paid for in time and energy became a source of ongoing value, including 500 real examples of how he handled objections over the years.A QuickBooks-approved app now auto-drafts invoices from incoming email, always human-gated, never sent automatically.Why Context Is the Real ProblemDrew argues the genuine bottleneck is not the model, it is context. AI works sequentially, checking one source then the next, and never holds everything at once the way a close colleague would. His answer was to build the context in before the model ever runs.Drew IQ is a set of around 350 operator rules, a series of "if this, then this" checks that mirror what he already knows as an operator, plus tags that give each product context such as whether a SKU is a launch.WCS is a context engine that surfaces everything relevant to a brand in about half a second, locally, so the model arrives with the full picture already in front of it.Winston is his always-on system, built to be model-agnostic with fallbacks, so if one provider went down he could switch and keep running. He built it on OpenClaw, an open-source always-on agent framework, rather than tying himself to a single vendor.Cheap Model In, Expensive Model OutOne of Drew's most useful principles is matching the model to the job. He runs cheap local models via Ollama for the overnight grind of ingesting emails, transcripts and Amazon data, and reserves the expensive frontier models for anything client-facing or "trying to be me"."Cheap model in, expensive model out." - Drew MorgansAll the pre-work, the rules, the routing and the context surfacing, happens on his own machine, so it is effectively a free call.By the time the reasoning model is called, it is doing only the final, high-value layer, which keeps costs in check without dumbing down the output.Both Drew and Matt land on the same conclusion about tool-switching, that the opportunity cost of constantly jumping between systems is real, and there is more value in committing to one setup and getting genuinely good at it.One Super Agent Beats Twenty SpecialistsDrew tried the popular approach of building a crowd of named specialist agents, a CFO agent, a design agent and the rest, all chatting and arguing in Discord. It did not work as well as the alternative."I cut down the jungle, my team manicures the lawn." - Drew MorgansInstead of managing twenty different personalities, he invested his time in one super agent that knows where all his information lives and can genuinely help.Drew's view on where things are heading is that mediocre roles are in trouble, trades will grow in value, and strong operators will be fine, with a parallel movement back towards authenticity and in-person work.On Amazon specifically, he sees AI helping him do the deep, non-scalable work an agency normally cannot afford at scale, cross-referencing ranking, margin, inventory, reviews, Reddit and search query gaps to work out why a listing is not converting."It's helping scale the unscalable." - Drew MorgansToday's GuestDrew Morgans (Andrew Morgans) is the founder and CEO of Marknology, a full-service Amazon and marketplace agency based in Kansas City, working across Amazon, TikTok Shop, Walmart and Shopify. He also runs a warehouse and 3PL operation and a portfolio of brands. This is his second appearance on the show.Website: marknology.comLinkedIn: in/...
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