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Build an MVP with Rapid AI Prototyping

Build an MVP with Rapid AI Prototyping

Offered by Colin B.

Product Lead at Poolside | AI Strategy & Product Development

Boston University Questrom School of Business Logo

Studied at Boston University Questrom School of Business

Poolside Logo

Works at Poolside

Description

This coaching package is designed to help you go beyond quick demos and build a real MVP. By the end, you’ll understand how to scope, structure, and develop a working product you can show to users, teammates, or investors. Package topics can include, but are not limited to: • MVP planning: define the scope, features, and value proposition • Tool mastery: learn modern prototyping stacks and AI copilots in depth • Guided build: develop your MVP (web app, chatbot, or tool) • Testing: deploy in a sandbox and gather real feedback • Documentation: learn how to capture your process for iteration • Next steps: roadmap to refine, scale, and prepare for production Outcome: By the end of this package, you’ll have a working MVP in a testable environment—plus the documentation, skills, and confidence to keep developing.


What you'll get from this package

A working MVP (web app, chatbot, or tool)

Deployment in a testable sandbox/demo environment

Documentation of workflows and design decisions

A roadmap for moving from MVP to production


Additional details

Coaching delivered via live sessions.

Refund Policy

Services included:

AI Fundamentals

Prompt Engineering

Multi-Agent Systems

Skill Building


Colin B.

Offered by Colin B.

Joined September 2026

Product Lead at Poolside | AI Strategy & Product Development

I've spent the last several years working hands-on with AI at AWS and Poolside, where I helped enterprises take foundation models from experimentation into production. At Poolside, I identified the opportunity for sovereign AI in early 2025, built the first on-prem prototype myself, and went on to lead the resulting product line across product strategy, engineering, deployment, and customer delivery. We grew it to ~$3M ARR and 40+ deployments, including highly secure government environments. I also build with AI extensively outside of work. I built Pinpoint Alpha, an AI-powered market analytics SaaS with 12 production Python pipelines, and Keel, an open-source agent harness focused on secure and governed agent execution. I can help with everything from figuring out where AI actually adds value to LLM APIs, agents, RAG, evals, prompting, cloud architecture, AI-assisted coding, and getting an idea from a blank page to a working product.

Experience level: Associate

$800

10h of coaching