Jessica Malnik's AI Toolkit for Streamlining Marketing Processes

By Dan Sanchez · Episode published

Use AI to remove repetitive marketing work, strengthen research and editing, and create better decisions without handing strategy or original thinking to a generic prompt.

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Treat AI Like a Fast Intern, Not an Invisible Expert

The most useful way to think about AI is not as a replacement for judgment. It is a fast collaborator that can research, organize, generate options, and remove repetitive work. That is powerful, but it only works when a person is clear about the outcome and stays involved where the work needs taste, experience, or a real decision.

Jessica Malnik describes AI as a 24/7 intern. That framing is useful because a good intern can accelerate a capable marketer, but still needs direction. If the assignment is vague, the output will be vague. If the source material is generic, the result will usually sound generic too.

Give It Better Material Than Everyone Else

AI is excellent at finding patterns. That also explains why it struggles to create a point of view from nothing. Ask it to write a thought-leadership article with no expertise, examples, or original data, and it will produce a polished version of what is already common. That may be enough for a templated product description or a narrow long-tail page, but it will not make a brand memorable.

The better move is to feed it material nobody else has: customer interviews, a sales-call transcript, a research report, a strong internal opinion, or observations from actually doing the work. Then use AI to identify gaps, suggest structures, surface common questions, and help turn raw knowledge into something readers can use.

That approach also changes the editing pass. Instead of asking AI to be the final writer, ask it to role-play as the reader. What claims need evidence? What questions are still unanswered? Which example needs more explanation? Those are useful prompts because they direct attention back to the substance of the piece.

Automate the Repetitive Edges of the Work

Some of the highest-return uses are not flashy. Move an assignment email into a task board. Send a deadline reminder to the right channel. Transcribe an interview, then pull possible quotes and unanswered questions from it. Research a topic before a human writes the conclusion.

These small handoffs matter because they remove copying, pasting, and remembering from the workday. They also preserve the part that should remain human: choosing the angle, interpreting the research, deciding what matters, and making a promise the business can actually keep.

Start by auditing a week of work. Look for tasks that repeat, involve moving information between tools, or require the same first-pass research. Those are better candidates than a complicated, high-stakes process with many branching decisions.

Keep People in the Decision Loop

Multi-step automation gets fragile when the system must make choices without enough context. A custom assistant can offer interview angles, titles, or research directions, but a marketer still needs to choose the one that fits the guest, audience, and goal. The same is true for content positioning and client work.

That does not make AI less valuable. It makes the division of labor clearer. Let it compress the work that used to take hours or days, then use the saved time for better strategy. The goal is not three times as many shallow outputs. It is more room for the thinking that turns competent marketing into work people notice.

Begin with one recurring task, define what good looks like, and review the result. Once that works, add the next useful handoff. The best AI toolkit is built from reliable small wins, not an attempt to automate the whole business in one jump.