I work across four types of AI projects. The right approach depends on the problem — not every task needs a product build, and not every product needs AI.
Task Automation
Form to Form
Data goes from A to B. Same way, every time. Templates get filled, reports get generated, entries get logged. Built in hours.
Outreach Infrastructure
Pipeline Setup
Domains, email accounts, warm-up, research, sending, tracking. Lots of pieces wired together into a system that generates leads on autopilot.
AI Intelligence
Human-Quality Output
AI that writes, replies, and qualifies in your voice. Personalized at scale. Requires careful tuning to get right — the output has to pass for human.
Product Build
Full Applications
Complete products — designed, built, deployed, and running in production. I use AI to build at solo-developer speed.
A senior associate at a Big 4 tax practice spent 2-3 days assembling each due diligence proposal — looking up companies, checking tax filings, calculating fees, filling templates. I built a system that does it in under 5 minutes. Runs entirely on their machine. No data leaves the building.
5 min
Down from 2-3 days
6 APIs
Government databases integrated
A US genomics company needed to reach IVF clinics across Southeast Asia for the first time. I mapped 75 clinics across 3 countries, sent personalized outreach, and tracked every response. The CEO called it incredible. Now expanding to USA and Latin America.
30%
Reply rate on cold outreach
3
Continents expanding to
AI Tax SG
AI-powered tax filing for Singapore businesses
aitax.sgGetBidCommand
AI bid management for construction contractors
getbidcommand.com20 minutes. Free. I'll tell you what it takes and whether I can help.
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