Yves Chan · Canada · English & French
AI in practice
No courses or certificates here. Each tool below came from a real problem at work, and each one has a result attached.
I paid for Browse.ai out of pocket and scraped exhibitor lists from industry trade show sites to build a territory from scratch.
Ongoing research on a public company, from SEC filings to blog posts, showed it was splitting into two businesses. Paired with a policy change at Shopify, that opened a door, and I handed it to a rep and supported the pursuit.
Every SOW, call and QBR for my Shopify Plus agencies went into NotebookLM. The time saved on admin went into complex national and international deals.
My French Bulldog Pepper has seizures and no app tracked them properly, so I built one with Claude Code. Then I built a second, plus a ten-phase playbook so each new app is faster than the last.
Career
I ran my own eCommerce brand for five years before moving into enterprise sales and partnerships. Today I build apps independently under ArcLine Apps.
How I work
AI took the research, note-keeping and prep. That left my time for partners, deals and follow-through. Referrals from happy clients fed new accounts back into the start.
Why I built itI was managing 20+ agency partners, and the context for each one was scattered across Salesforce, email, call notes and SOWs. Prepping for one QBR could take an hour of digging, and it was easy to miss an open item or an upsell signal. I built this so every partner's history lived in one place I could ask questions of. Prep became minutes, and the time went back into the partners.
Client rosters, client data and metrics, agency SOWs, call transcripts, third-party articles and mentions, and a daily trend report land in one place instead of five tabs.
Every SOW, call and report lives in NotebookLM, so before a QBR I can ask what is still open with a partner.
I ask NotebookLM to spot trends, find ICP patterns and rank accounts by volume, upsell potential and sales cycle, using everything already in the notebook.
Call briefs, onboarding sites and co-marketing one-pagers come out tailored to each partner, and channels shift when results drop.
Referral asks run on timed follow-ups, with incentives matched to each client and results tracked in the CRM.
Built with AI
I handle the product, the decisions and the App Store. Claude Code writes the code with me. It's the same way I'd help a team adopt AI: start with a real problem and ship something small.
A seizure tracker for dogs and cats. It logs seizures, medication and vet visits so owners walk into the vet with real data. We use it for Pepper every day.
Probably Overbought Dude. A free app for splitting bulk grocery runs with a small group of friends. It works by invite link only, and no money moves through the app.
An AI-powered warranty and receipt tracker. It's the first app built end to end on my ten-phase playbook.
How an app gets built
You me AI Claude
Pepper's seizures. Splitting a Costco run with friends. It starts with something I actually need.
Scope the smallest useful version, write the spec and settle the decisions before any code.
Claude Code writes the app while I review, test on iPhone and Android, and push back.
App Store submission, review fixes and launch. Then the lessons go into the playbook.
Teaching it
Using AI day to day is one skill. Getting other people started is another. These guides help people with no AI background get useful results in their first week.
Guide · ChatGPT
Ten sections for owners who asked where to start. It includes a starter prompt cheat sheet and my four-part prompt formula.
Guide · Claude
Chapters split by role, so an operations manager and a customer success manager each start with examples from their own day. It's built around CRATE, a prompting framework I wrote.
Private · happy to walk through it in an interviewPlaybook · Claude Code
Standing rules, phase order and a list of App Store rejection traps, written after each launch. It keeps Claude from repeating mistakes and me from re-making decisions.
Used on Covered · reused for every new appFrom people I've worked with
“Working with Yves at Shopify, he managed agency partnerships with professionalism and genuine care for partner success.”
“He naturally brings curiosity, ownership, and instinct to build something where nothing existed before.”
“A true entrepreneur in every sense of the word, lending innovation, talent, relentless drive, and courage to challenge possibilities.”
Open to new roles
I'm interested in AI enablement, customer success and partnerships roles, especially where the job includes helping people get real value out of AI.