Planning a Business or Product with AI
Have a business, product, SaaS, or side-project idea? Bring it to the session and we'll use AI to turn the idea into a concrete plan. This is a working session for people who want to go from "I have an idea" to "I know what I should build, who it's for, and what I should do next." We'll use AI throughout the process to research the market, pressure-test assumptions, define the customer, evaluate competitors, shape the product, prioritize an MVP, and create an execution plan. Depending on where you are in the process, we may work through: 1. Refining and pressure-testing the initial idea 2. Identifying the target customer and their actual problem 3. Competitive and market research 4. Evaluating whether the opportunity is differentiated 5. Pricing and business-model options 6. Defining an MVP and deciding what not to build 7. Creating product requirements and feature priorities 8. Designing customer discovery questions 9. Thinking through technical architecture and AI capabilities 10. Branding, positioning, and messaging 11. Launch and go-to-market ideas 12. Creating a concrete 30-, 60-, or 90-day execution roadmap If you're technical, we can go deeper into architecture and implementation. If you're non-technical, we can focus on how modern AI tools can help you prototype and build without needing a traditional engineering team.
What's included
- A clearer and more thoroughly tested version of your business or product idea
- A defined target customer and problem statement
- A better understanding of the market and competitive landscape
- A prioritized MVP rather than an oversized feature list
- A view of the biggest assumptions and risks you need to validate
- Concrete next steps for customer discovery, product development, and launch
- A practical plan for using AI throughout the building process
- A roadmap you can continue executing after the session
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.
