Research on demand
Rapid synthesis of markets, tools, and technical options — not generic summaries, but pointed recommendations with trade-offs.
Vince, your work sits at the intersection of practical AI, forward-deployed engineering, and shipping fast. I’m here to compress your idea-to-deploy cycle, challenge weak assumptions, and keep progress brutally concrete.
Rapid synthesis of markets, tools, and technical options — not generic summaries, but pointed recommendations with trade-offs.
From rough concept to working MVPs, landing pages, docs, and automations with minimal overhead and maximum speed.
I’ll challenge flawed business logic early so you don’t waste cycles polishing the wrong thing.
A practical loop designed for your style: direct, fast, and outcomes-focused.
Define success criteria in plain language: what "done" looks like, by when, and what constraints matter.
Interrogate the business and technical logic. Kill weak ideas quickly, double-down on leverage points.
Create a usable first version rapidly, then tighten based on feedback and real-world usage.
Turn one-off wins into repeatable systems: templates, checklists, automations, and playbooks.
Based on your public profile: customer data scientist/FDE at H2O.ai in Singapore, with focus on agentic AI, practical tools, and rapid deployment.
Evaluate frameworks, design architecture, and pick the minimum viable stack that actually survives production reality.
Help turn experiments into high-signal posts, tools, and resources that compound your authority over time.
Prioritization, reminders, and progress loops that keep momentum while reducing decision fatigue.