PlanningRoom.tech
My latest resources are published at the PlanningRoom, a platform designed to help us make better decisions about AI. At the PlanningRoom, you will find References that help you learn about AI and working with AI, and Toolkits that help you make better decisions and build better. Most of the resources on the PlanningRoom are 100% free.
Engineering for Vibe Coders
“Engineering for Vibe Coders” bridges the gap between prototype and production. Each article introduces one foundational concept that professional software engineers rely on every day. You will not find lengthy code tutorials or computer science theory. Instead, you will find practical explanations, pre-prototype checklists, and the questions you should ask before writing your first prompt.
AI Strategy: Vendor Evaluation Framework
This FREE workbook provides strategic frameworks for evaluating AI vendors, making build-versus-buy decisions, and managing AI partnerships effectively. Based on research showing that companies purchasing AI solutions succeed 67% of the time versus only 33% for internal builds, these frameworks help you make informed vendor strategy decisions.
Production-Ready AI Solution Framework
While 80% of AI projects never reach production deployment, the problem isn’t the technology – it’s the implementation approach. Organizations invest billions in AI initiatives that work perfectly in demos but fail catastrophically when deployed to real users, enterprise data, and business-critical operations. The Production-Ready AI Solution Framework systematically addresses this gap through 15 core elements across five critical areas: Foundation & Planning, Data & AI Core, System Integration & Reliability, Operations & Visibility, and User Adoption & Success. Production-ready AI isn’t about better algorithms. It’s about better engineering discipline that ensures systems work reliably in your business environment, protect your data and reputation, and scale with your growth.
The Framework is designed for Executives, Architects, Engineers… anyone who want to increase the chance of success for an AI project when it is deployed into production.
Why should AI enthusiasts care?
- It addresses a massive, real problem.
- It fills a critical gap in the market.
- It takes a systems thinking approach.
- It’s actionable and measurable.
- The timing is crucial.