Overview

With ChatGPT and Gemini now widespread, using AI in marketing work has become the norm. But there's still a wide gap between "using it" and "seeing it translate into results."

Thinking up more or less the same instructions from scratch every time, hand-fixing the output that comes back, and then repeating the exact same thing on the next task—many people still can't break free of this state where "you think you're having AI do the work, but really you're doing the work yourself."

In fact, we often hear things like:

• "Every time I use ChatGPT or Gemini I rewrite my instructions from scratch, and in the end my own hands never stop moving…"
• "When I leave it to AI the quality varies, so checking and fixing actually costs more…"
• "I want to hand banner and LP production to AI, but it can't hold to our tone and brand, so there are lots of manual fixes…"

The essence of this problem lies in the structure of having to teach a general-purpose AI "about your company" from scratch every single time. With an in-house-only agent that has learned your messaging angles, brand guidelines, and past winning patterns, your instruction cost drops to zero and output quality stabilizes.

In this seminar, we'll walk through how to build an in-house AI agent that cut banner and LP production effort to one-tenth, following the actual build process and concrete steps.

What You'll Learn

① The design philosophy of an in-house agent that graduates ChatGPT and Gemini from "starting from zero every time"

We lay out the design thinking that structurally solves the "the general-purpose AI doesn't know your company" problem, along with the building blocks needed to make it run on its own.

② The actual build steps and flow that cut banner and LP production effort to one-tenth

Which data to have it learn and what instruction system to embed so the output runs on its own—we'll share, in concrete terms, build steps you can reproduce on the ground.

③ A rollout roadmap for starting small and expanding to the whole, and tips for making it stick

From how to choose the first work to automate, to horizontal rollout across the team and stabilizing quality, we explain a rollout order and structure that won't fail.

Who Should Attend

• In-house marketers who use ChatGPT and Gemini but feel their efficiency isn't improving because every task needs instructions from scratch
• Anyone who wants to use AI for banner and LP production but finds quality variance and checking cost to be a challenge
• Anyone who wants to have AI learn their company's tone and messaging angles so output stays stable and self-driving
• Anyone on a small in-house team who wants to build a system that can entrust production work to an AI agent

This seminar shares the practical steps for putting an end to "instructing AI from scratch every time" and entrusting production work to a self-driving agent. We look forward to having you join us.