Early access
This live lesson shows how to turn slow manual research into an AI-assisted system that surfaces stronger product angles faster, so you can move earlier, publish sooner, and sell with more confidence. Join the list and get the session details first.
The research bottleneck
Most founders take too long to validate a trend, then settle for weak product picks and late content. In this lesson, we turn one vague keyword into two clear directions, a product shortlist, and one usable dossier before the window gets weaker.
Start with one trend keyword
Find two live product directions
Search Amazon for matching products
Shortlist the strongest examples
Assemble the research dossier
One trend in. One clear dossier out.
Founder stories
Meet three founders at different stages and see how the same research automation could change the way each one finds, validates, and acts on product opportunities.
Ava, the content-led seller
Runs an online fashion storeI save it, open a bunch of tabs, compare products—and before I finish, someone else has already posted it.
Then let us stop starting from scratch. Type in the trend and let the workflow bring back the best directions and products.
Ava posts while the trend is still fresh.
Daniel, the marketplace founder
Runs a multi-brand marketplaceThere are plenty of products. My team wastes time digging through them, and we still end up guessing.
Give the system the trend first. It can narrow the list before your team sits down to choose.
Daniel's team starts with a shortlist, not an empty search box.
Nicole, the lean ecommerce operator
Runs an online kids' storeResearch, captions, images, posting—none of it is hard on its own. Doing all of it every day is exhausting.
Start with the research. Once that comes out clean, you can use it for the visual, caption, listing, and schedule.
Nicole gets time back now—and a system she can build on.
Built from working systems
This lesson simplifies two real Tohju services into one teachable flow. Michael will open the projects, run the handoff, and show how a loose trend becomes structured product evidence.
classic jeans
Run researchThe product-search service navigates Amazon and returns product names, images, prices, and links.
The useful evidence stays attached, so you can inspect the result instead of trusting an unsupported AI answer.
The selected directions and products leave the workflow in a reusable format for the next content task.
Not a mock-up. Not a prompt pasted into a chat window. A working research flow, made understandable.
Where this workflow leads
If go-to-market is new to you, it simply means turning a market opportunity into something people discover, understand, and buy. This lesson automates the first important decision: what is worth moving on.
Already exploring AI GTM automation? Think of this as the signal-and-evidence layer that can feed positioning, campaign creation, distribution, sales handoffs, and customer feedback.
Learn to automate the research decision first. Then connect it to the rest of your revenue workflow.
This class is for you if
A better fit may be
Need a broader campaign workflow after product research is done? The preserved Product-to-Campaign path remains a better fit for channel planning and distribution.
View the other classIncluded free
Your instructor
Founder of Tohju
Michael builds AI automation systems across content operations, browser agents, queues, model workflows, and human review. These classes teach the decisions behind those systems—not just the finished output.
Systems used in this lesson
Questions
No. The lesson is designed so non-technical attendees can follow the workflow and use the method. The code walkthrough stays high-level.
We plan to make the replay available after the live session. Final replay details will be confirmed with registration.
Yes. Fashion is the clearest first example, but the same workflow can apply to beauty, accessories, home goods, and other product categories.
No. This lesson stops at the dossier. The next step is turning that dossier into the actual product roundup visual and caption.
You leave with a completed example of the dossier structure, a clearer way to narrow broad trends into usable product directions, and a repeatable method for researching what to feature before weak choices and slow execution cost you the opportunity.
Early access
Apply now and we will send the date and registration details as soon as the first live session is ready.