Operator perspective, real implementations, and enduring principles for small business owners trying to figure out where AI actually creates leverage. Written by Ben Eklof.
OpenAI just made ChatGPT Ads measurable. That changes the math. But paid placement doesn't control the organic answer. Before spending heavily, find out how ChatGPT answers the buying questions your customers are already asking.
Read article →There's a big difference between a team using AI and a business adopting AI. Adoption comes down to fit: can AI plug into the work, use the right context, be trusted, and have its value measured. Models are racing ahead. Real workplace implementation will move slower than people expect.
Read article →Before picking tools, building agents, or automating workflows, start with questions. The work people repeat every week. The context buried in someone's head. The decisions that keep getting delayed because nobody has a clean enough view.
Read article →A lot of owners are carrying some version of AI anxiety. Some of that pressure is useful, but it's hard to tell what deserves attention now and what can wait. The useful work usually looks less dramatic than the demos.
Read article →A lot of bad automation starts with a reasonable sentence: 'We shouldn't still be doing this manually.' But the manual work isn't always the real problem. Once you automate a messy process, you give it structure. Bad process plus automation isn't leverage. It turns waste into infrastructure.
Read article →Last week I sat in on two agency calls. Two completely different versions of AI adoption. One agency used AI to bring better thinking. The other used it as cover for doing less work. The difference will get more pronounced this year.
Read article →Built an AI listing tool for a yacht brokerage. The ecommerce version of this problem is almost identical. Amazon, Walmart, Target, Shopify all want the same product explained in slightly different formats. Most of the best AI use cases are sitting inside the repetitive work we've already accepted as the norm.
Read article →Institutional knowledge lives in people, not systems. Pricing logic is in someone's head. Supplier terms are buried in an old email. So every AI session starts from scratch. The next wave is built around passive capture of decisions as they happen.
Read article →No email. No signup. No 'comment PROMPTS below.' 99 AI prompts covering finance, PPC, listings, creative, ops, and reporting. Each one includes example data and tips to get a better output.
Read article →Speed has value. But there's a different kind of upside in using AI deliberately. Once AI becomes a to-do list machine, it's easy to give up more control than you realize. Quality doesn't collapse all at once. It slips quietly.
Read article →The biggest capacity drain at most ecommerce businesses isn't a big obvious problem. It's a dozen small recurring tasks that got absorbed and never questioned. AI is genuinely useful here, but only if you map the actual workflows first.
Read article →Most competitive advantages in ecommerce have a shelf life. A better product gets copied. A pricing edge gets matched. Infrastructure compounds differently. Tactics are easy to copy. The foundation underneath them is much harder to replicate.
Read article →Most businesses know they have inefficiency buried in day-to-day admin, but no simple way to size it up. The Manual Meter is a free tool that gives operators a directional sense of where AI and automation might help first.
Read article →AI generates a plausible-sounding plan from patterns in its training data. The danger isn't that it gives you a crazy plan. It's that it gives you a reasonable-sounding average instead of a plan fit for your specific business.
Read article →Five signs of bad AI implementation versus five signs of good. You're not really implementing AI until the idea of removing it creates a genuine problem.
Read article →Same company, same tools, completely different AI behavior across the team. The teams getting the most out of AI are the ones sharing what's working. A few questions worth asking internally.
Read article →Forget the abstract pitches. Five places I've actually seen AI and automation creating real leverage in ecommerce: returns analysis, shipping rules, inventory modeling, reporting pipelines, carrier rate sims.
Read article →End of 2025, I walked away from a decade in ecommerce to go all-in on AI. Six months in, here's what's actually worked for finding your footing as an SMB owner who knows AI matters.
Read article →We give better advice to other people than to ourselves. Set up AI as a business coach or a roundtable of perspectives to pressure-test your thinking when you're too close to it.
Read article →A story from my FBM Amazon business about partner philosophy, hiring resistance, and why some operators can never get out of their own way. Now AI is widening that gap.
Read article →Roles, departments, reporting lines, handoffs. Most org charts were built for a world where humans did all the work. That world is changing fast, and most structures haven't kept up.
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