Lynn runs Dr. Bags, a luxury bag and shoes restoration business in Singapore with 11 years, 3 stores, about 30 staff, handling customers' Chanel flats and Hermes bags while her team restores them.

She wanted a marketing dashboard - something she could glance at without overworking her team. We used Claude Code with a month of her deal pipeline data, building a working dashboard with charts and KPI cards.

What you'll hear in this episode:
- A business owner explaining why she needs to understand where her marketing dollars actually go
- Building a marketing dashboard from raw ERP data, live in one session
- Uncovering issues and improvements with sales data analysis
- Why clean data matters more than fancy dashboards - and how Lynn plans to fix hers
- How this exercise helps business owners be data/AI-first

Hosts: Eric Tan (non-technical builder) & Yaohong Ch'ng (engineer, Superuser HQ, ex-Stashaway head of Data)
Guest: Lynn Kee - founder of DrBags, luxury bag and shoes restoration

Got a problem you want us to solve live? Fill out the form:
https://forms.gle/DSyLzPAoR6x2M4Np9

Connect with us:
- Eric on LinkedIn: https://www.linkedin.com/in/erictisme/
- Yaohong on LinkedIn: https://www.linkedin.com/in/yaohongchng/
- WhatsApp community: https://chat.whatsapp.com/Dmp5eEEsAZhJTB6LjcIG3c?mode=gi_t
- Substack: https://substack.com/@coderiff
- Email: code.riffs.ai@gmail.com

Tools used in this episode:
- Claude Code: https://claude.ai/code

Tools we use:
- Buzzsprout (podcast hosting): https://www.buzzsprout.com/?referrer_id=2371679
- Snipd (AI podcast highlights): https://get.snipd.com/pAbF/36jzrvki

LEARN ALONG - Glossary:
- ERP (Enterprise Resource Planning): Software that tracks everything in your business - inquiries, jobs, inventory, delivery. Lynn's ERP follows a bag from first WhatsApp message through cleaning, QC, and return.
- Dashboard: Charts and numbers on one screen so you don't dig through spreadsheets. What Lynn wanted instead of two days of manual Excel work.
- Attribution: Figuring out which ad channel actually brought a customer. Lynn's data said 89% WhatsApp - but many customers found DrBags through Instagram or Facebook first.
- Funnel: The journey from first contact to closed deal. Lynn's funnel: new inquiry to engaged to won or lost. 61% of deals were stuck in "Engaged."
- Data cleaning: Getting your raw data accurate before doing anything with it. Yaohong called it "plumbing" - if your data isn't clean, your dashboard lies to you.
- POC (Proof of Concept): A quick prototype to test if an idea works before investing serious time or money.
- Plan mode: A Claude Code feature where it reads your data, proposes an approach, and waits for your OK before building anything.

ABOUT:
Code Riff - messy real-world problems, solved with AI, so you can too.

One of us can't code. The other's been coding since he was 13. Every episode, someone brings us a real problem and we try to solve it with AI in one hour live.

Bryan is an oil market analyst. Every morning he spends one to two hours reading news - Reuters, CNN, CNBC - trying to pull out the actual facts from opinion and spin. Two articles about the same event sometimes say opposite things.

We tried building him an AI tool using Claude Code. It scraped hundreds of articles, stripped out the editorializing, and pulled just the verifiable facts. It covered about 80-90% of what he needs.

What you'll hear in this episode:
- An oil analyst explaining the daily problem: separating fact from spin in news headlines
- Building a fact extraction tool with Claude Code, live in one session
- The moment two articles about the Strait of Hormuz directly contradicted each other
- Why "dangerously skip permissions" exists in Claude Code (cowboy mode)
- Bryan's live feedback: what worked, what didn't, and what he'd actually use
- Yaohong on why confidence scores without defined criteria will hallucinate

Hosts: Eric Tan (non-technical builder) & Yaohong Ch'ng (engineer, Superuser HQ, ex-Stashaway head of Data)
Guest: Bryan - oil market analyst

Got a problem you want us to solve live? Fill out the form:
https://forms.gle/DSyLzPAoR6x2M4Np9

Connect with us:
- Eric on LinkedIn: https://www.linkedin.com/in/erictisme/
- Yaohong on LinkedIn: https://www.linkedin.com/in/yaohongchng/
- WhatsApp community: https://chat.whatsapp.com/Dmp5eEEsAZhJTB6LjcIG3c?mode=gi_t
- Substack: https://substack.com/@coderiff
- Email: code.riffs.ai@gmail.com

Tools used in this episode:
- Claude Code: https://claude.ai/code
- Gemini API (news classification/analysis): https://ai.google.dev/
- Python (RSS scraping + fact extraction)

Tools we use:
- Buzzsprout (podcast hosting): https://www.buzzsprout.com/?referrer_id=2371679
- Snipd (AI podcast highlights): https://get.snipd.com/pAbF/36jzrvki

LEARN ALONG - Glossary:
- RSS feeds: A way to automatically pull articles from news sites without visiting each one. Like a subscription pipe that delivers headlines to your tool.
- API keys: Password-like codes that let your tool access paid services like AI models. You keep them secret and they track your usage.
- Hallucination: When AI confidently generates information that sounds right but isn't real. The biggest risk when you need verified facts for trading decisions.
- Sandbox: A restricted environment that limits what code can do on your computer. A safety net when running AI-generated code.
- Dangerously skip permissions: A Claude Code setting that removes the safety sandbox. Useful for speed, risky if you don't trust what the code is doing.
- Scenario analysis: A structured way of thinking through "if X happens, then Y follows." Bryan uses a specific framework: impact, market response, price implications.

ABOUT:
Code Riff - messy real-world problems, solved with AI, so you can too.

One of us can't code. The other's been coding since he was 13. Every episode, someone brings us a real problem and we try to solve it with AI in one hour live.

Chuyi quit her corporate job to help manage a wet market vegetable store at Marine Terrace. She tracks competitor prices and supplier orders through WhatsApp and spreadsheets — all by hand.

So we used Claude Cowork to build her a competitor pricing guide and supplier management dashboard in one hour, having fun while doing it together.

What you'll hear in this episode:
- A wet market store operator walking through her daily pricing and supplier workflow
- Using Claude Cowork to scrape and compare prices across FairPrice, Sheng Siong, Cold Storage, and more
- Building a supplier management tracker with price logging, margin calculations, and trend analysis
- AI "hallucinating" wet market prices — and Yaohong catching it live
- Honest conversation about scraping ethics, data accuracy, and why "your data will never be clean"
- Why not everything needs code — sometimes a spreadsheet is the real unlock

Hosts: Eric Tan (non-technical builder) & Yaohong Ch'ng (engineer, Superuser HQ, ex-Stashaway head of Data)
Guest: Chuyi (Le Fresco, 50 Marine Terrace)

Got a problem you want us to solve live? Fill out the form:
https://forms.gle/DSyLzPAoR6x2M4Np9

Connect with us:
- Eric on LinkedIn: https://www.linkedin.com/in/erictisme/
- Yaohong on LinkedIn: https://www.linkedin.com/in/yaohongchng/
- WhatsApp community: https://chat.whatsapp.com/Dmp5eEEsAZhJTB6LjcIG3c?mode=gi_t
- Substack: https://substack.com/@coderiff
- Email: code.riffs.ai@gmail.com

Tools used in this episode:
- Claude Cowork: https://claude.ai
- Google Sheets: https://sheets.google.com

Tools we use:
- Buzzsprout (podcast hosting): https://www.buzzsprout.com/?referrer_id=2371679
- Snipd (AI podcast highlights): https://get.snipd.com/pAbF/36jzrvki

Also discussed: Notion, Airtable, Google CLI, Gemini

LEARN ALONG — Glossary:
- Claude Cowork: A browser-based AI assistant from Anthropic that can control your files and browse the web. Costs ~$30 SGD/month on the Pro plan.
- Scraping: Automatically collecting data from websites using a bot instead of copying it by hand. Some websites block this.
- Tokens: The units AI models use to process text. More tokens = more cost. Like minutes on a phone plan.
- Hallucination: When AI confidently makes up information that isn't real. In this episode, it estimated wet market prices at "20-40% cheaper than supermarkets" — a guess, not data.
- MCP (Model Context Protocol): A way for AI agents to connect to external tools like Notion or Google Sheets. Think of it as a universal adapter plug for AI.
- Network egress: A security setting that controls which websites an AI tool can access from your computer. Like a bouncer checking IDs.

ABOUT:
Code Riff — messy real-world problems, solved with AI, so you can too.

One of us can't code. The other's been coding since he was 13. Every episode, someone brings us a real problem and we try to solve it with AI in one hour live.