In this episode of the Modern Direct Seller Podcast, Becky and Jeremy Launder dig into why AI so often spits out generic, off-brand copy, and what they changed to fix it. Jeremy, co-founder of Modern Direct Seller & Oh My Hi and the engineer behind the scenes, explains what’s really going on under the hood. From there, they get into how AI went from a generic helper to something that works more like a real teammate, and the spots where they still keep a human in the loop. Whether you’re new to AI or already using it daily, there’s something here for you.

Want a website that’s actually yours, not a replicated page that looks like everyone else’s? Oh My Hi was built for direct sellers, and podcast listeners can grab a free capture and convert homepage today. Have a question about your own AI setup? Send a DM on Instagram at @moderndirectseller.

Time based notes:

Why Your AI Output Sounds Generic (And How We Fixed It)

Most of us have typed a quick request into an AI tool and gotten back something that sounds fine but flat, nothing like how we would actually say it. That gap between generic and genuinely useful is fixable, and over the last few months, we have spent a lot of time closing it inside our own business. Becky and Jeremy rebuilt how the whole team uses AI, and the difference has been hard to ignore.

Why AI Sounds Generic

The reason is simpler than most people expect. An AI tool works from the model it was trained on, which is the same starting point for everyone using it. Until you give it more to work with, it can only hand back its default version of an answer.

So when you open a tool and type something like “draft me an email about this lipstick,” you are not giving it much. It fills in the blanks with what it already knows, and the result reads like everyone else’s. The fix is to feed it more of you.

Context and Access Change Everything

Two things took our AI from a generic helper to something closer to a real teammate: context and access. Context is the information it can pull from, like saved brand documents, instead of relying on a fuzzy memory of a conversation from three weeks ago.

We built documents covering each brand, who is on the team, and a brand voice guide full of the phrases we love and the ones we have asked it to drop. The word “real talk” got retired fast once it started showing up at the top of every single post.

Access is the second piece. When AI can reach the tools where the business actually lives, it stops guessing and starts working from real information. That shift is what makes everything below possible.

From One Idea to Ten Pieces of Content

The content side is where the time savings hit hardest. Ad copy that used to take two or three hours now takes under thirty minutes to generate, review, and adjust. Emails that once meant staring at a blank page now begin as a solid first draft.

The bigger win is repurposing. One strong piece of long-form content can become ten or more shorter pieces, each shaped for where it lives, from an Instagram carousel to a Facebook post to a reel that travels across platforms. Not everyone sees everything you put out, so meeting people in different formats is a feature, not a risk.

A Teammate, Not a Magic Wand

Connected to tools like ClickUp, Stripe, and our financial reporting, AI can pull the day’s tasks, surface where revenue stands this month, and cut down the constant tab-switching that used to define a workday. A lot of work now starts in one window instead of fifteen.

It still gets things wrong. We keep a firm rule that nothing goes out to a client or an audience without a human review, and we treat every mistake as a chance to update the documents that guide it. As a human-first business built on real relationships, that line matters to us.

Where to Start

You do not need a giant strategy to begin. Put your brand voice in a document rather than a single prompt, so your tool has a real source of truth to lean on instead of guessing from old chats.

From there, treat it like a new hire. Onboard it, give it context, and correct it when it misses. Then pick the one task that drives you a little crazy, the repetitive thing you wish someone else would handle, and build around that. Starting small and specific will carry you further than a big, vague plan.

And if you are already happy with the tool you have, there is no need to switch. The foundation matters far more than the brand name on the login screen.

Looking Ahead

The tools will keep changing fast, and that is part of the fun. New models, new features, and native connections to the software you already use are arriving almost weekly.

What matters is building the foundation now: clear context, the right connections, and a willingness to keep teaching your AI as you go. Do that, and it becomes one of the most useful members of your team. If a website that is truly yours is part of that foundation, Oh My Hi was made for direct sellers who want their content, brand, and email list in one place they actually own.

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