01
Review
Start with the mess.
Review the work
- What keeps repeating?
- Where does time leak?
- What needs judgment?
Start hereOwner + TG
Trading Guild
Make AI one useful job at a time.
We review the work, set up what fits, and stay to keep it useful—without asking you to become an AI expert.
Request a working sessionLawrence InsixiengmayRaised around a family business. Building for owner-operators.
The owner's job board
Work moves. The owner stays in control.
02
Set up
Build for the real work.
Build what fits
- Choose the right tool
- Connect the workflow
- Test it in real work
In progressPractical first
03
Keep useful
Stay in the work.
Stay with it
- Check the result
- Tune and improve
- Adapt as needs change
OngoingSupport included
Workshop model — demonstration, not a client result
Review → set up → keep useful
Start with the business. Then choose the AI.
You do not need another list of tools. You need a clear look at the work: what repeats, where information gets stuck, and which decisions still need a person who knows the business.
That is where we begin. If AI can remove useful friction, we build it into the way you already work. If it cannot, we leave it alone.
No automation for automation's sake.
You should run the business. Not spend all day digging out.
AI is the heavier tool. You still decide where it goes. We help find the repetitive work worth moving, set up the right system, and keep it useful as the business changes.
Hover to preview a workload. Click to keep it selected.
Illustrative workflow
Synthetic example
Inbox → reply queue
Sort incoming messages, prepare context-aware drafts, and leave the final send decision with the owner or team.
- Signal inNew customer email
- AI assistClassify + draft
- Owner checkReview before send
One working relationship.
The first build is not the finish line. Tools change, the business changes, and what was useful six months ago may need another pass.
Review the work
We walk through the real operation—recurring tasks, handoffs, information, bottlenecks, and the places that consume the owner's attention.
Set up what fits
We select a useful first project, build it around the current workflow, test it with realistic inputs, and document how it should be used.
Keep it useful
Monthly support keeps the system current. We review what is working, repair what is not, and adjust as the team, tools, and priorities change.
Workshop experiments.
These are demonstrations of the kinds of systems Lawrence is building and testing—not client results or promises about your business.
Open work binSynthetic demonstrations
Inbox → reply queue
Sort incoming messages, prepare contextual drafts, and leave the final send decision with the owner or team.
Workshop modelQuote → job handoff
Carry approved information into the next step without retyping the same details across documents and tools.
Workshop modelNotes → next actions
Turn meeting notes into a reviewable action list with owners, open questions, and the source context still attached.
Workshop modelBuilt from the owner's side of the counter.
I'm Lawrence Insixiengmay. I grew up around a family business, where every new idea eventually meets the same questions: Will this actually help? Who is going to maintain it? What happens when the day gets busy?
Trading Guild takes its name from the merchant and trading guilds in the games and stories I grew up with—a place where people bring real needs, exchange useful expertise, and leave better equipped for the work ahead.
I work directly with owner-operators to find practical AI use cases, set them up, and keep improving them over time.
Lawrence
Bring one stubborn piece of work.
You do not need a complete AI strategy before reaching out. Start with a recurring task, a messy handoff, or a part of the week you would like back.
Request a working session