Research Anything with AI
Learn how to use AI as a serious research partner rather than just a faster search engine. In this live, hands-on session, we'll take a topic you actually want to understand and research it together. I'll show you how I approach complex research questions, structure investigations, find credible sources, challenge initial conclusions, compare competing viewpoints, and turn large amounts of information into something useful. Your topic can be almost anything: a company, market, technology, investment thesis, career decision, scientific question, product category, business idea, or another subject you want to understand deeply. We'll cover techniques such as: 1. Turning a broad question into a strong research plan 2. Using AI-powered web and deep research effectively 3. Finding primary sources instead of relying on summaries and blogs 4. Separating strong evidence from weak evidence 5. Asking AI to challenge its own conclusions 6. Researching the same question from multiple angles 7. Synthesizing dozens of sources into clear insights 8. Comparing companies, products, strategies, or competing claims 9. Identifying unanswered questions and gaps in the evidence 10. Turning research into an actionable recommendation This isn't about learning a list of "magic prompts." It's about learning a research process you can reuse.
What's included
- A substantially deeper understanding of the topic you brought to the session
- A repeatable framework for conducting AI-assisted research
- A better ability to distinguish credible evidence from low-quality information
- Techniques for reducing hallucinations, bias, and overly confident AI answers
- A process for validating important claims against primary sources
- Better methods for comparing competing explanations and viewpoints
- A reusable approach for turning research into decisions
Meet your expert
Colin B.
Product Lead at Poolside | AI Strategy & Product Development
I've spent my career at the intersection of technology, customers, and product, from small IT consulting firms to MongoDB, AWS, and most recently Poolside, where I joined as the company's first Solutions Architect and later moved into Product leadership. At Poolside, I helped build the global Solutions Architecture organization from 0 to 7 before identifying an opportunity around sovereign AI, building the first prototype myself, and ultimately leading the resulting product line. Over roughly 14 months, we grew it to ~$3M ARR and 40+ deployments across enterprise, government, and highly regulated environments. I've made several career transitions myself, from IT consulting → Sales Engineering → Solutions Architecture → Product, and I've interviewed extensively across startups and large technology companies. I have an MBA from Boston University and particularly enjoy helping people think through career positioning, technical interviews, compensation, startup opportunities, and how to move between technical, product, and customer-facing roles. I'm also an active builder. Outside of work I've launched my own AI-powered market analytics SaaS and built an open-source agent harness. For anyone looking to understand or build with AI, I'm happy to work hands-on across LLMs, agents, cloud architecture, product strategy, and turning an idea into something real.
