AI-Powered PM: CPMAI Model Selection & Technical Decision-Making Playbook

PREMIUM SUBSCRIBER EXCLUSIVE: A comprehensive framework for making critical technical decisions about AI patterns, algorithms, foundation models, and architecture across the CPMAI project lifecycle.

Most AI projects are a colossal waste of time and money.

I’ve seen teams burn six months and half their budget building custom models—when a $20/month API call could’ve handled the whole thing in a week. Even worse? They’ll grab the latest shiny foundation model off the shelf, thinking they’re ahead of the curve... and then watch their project explode.

The real issue? Too many options. Not enough real-world decision frameworks.

Should you build or buy? Fine-tune or just prompt? GPT-4 or roll your own model? Cloud or on-prem? AutoML or full custom? Everyone’s got opinions—but few have the context to match the tech to the actual business need.

Most of these decisions aren’t being made strategically. They’re based on hype, internal politics, or whatever the last conference speaker said on stage. Then reality hits. Six months in, you’re over budget and realizing the “cutting-edge” solution could’ve been replaced with a damn decision tree.

That’s why I put this playbook together.

It gives you the frameworks you actually need to map your business problem to the right AI approach. Whether you’re trying to figure out which of the Seven Patterns of AI fits your use case, when to go with a foundation model vs building custom, or how to avoid painting yourself into an architectural corner—this guide has your back.

You don’t need to be a deep learning expert to use this. If you’re tired of letting the loudest voice in the room dictate technical strategy—or you’re looking for a way to push back on the “LLMs for everything” crowd—this will give you the clarity and tools to lead with confidence.

Inside, you’ll get decision trees, cost-benefit frameworks, and tech selection guides built to align with every phase of CPMAI. It’s about making smarter choices—faster—so you can stop overthinking and start shipping.

Want the PDF? I’ve included it so you can execute in your workplace with a proven guide.

Don’t have CPMAI training? This playbook will help regardless of whether you have taken the course.

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Section 1: The Seven Patterns of AI - Pattern Selection Framework

Understanding the Seven Patterns

The Foundation: Every AI project fits into one or more of seven patterns. Pick the wrong pattern, and you’re solving the wrong problem.

The Seven Patterns:

1. Conversational and Human Interaction: Natural language interfaces (chatbots, voice assistants)

2. Recognition: Identifying and classifying content (images, text, audio, video)

3. Patterns and Anomalies: Finding patterns or outliers in data (fraud detection, anomaly detection)

4. Predictive Analytics and Decision Support: Forecasting outcomes and supporting decisions

5. Hyper-Personalization: Individual-level customization and recommendations

6. Autonomous Systems: Independent operation with minimal human intervention

7. Goal-Driven Systems: Optimization through reinforcement learning

AI Prompt for Pattern Identification