The AI Product Landscape
4 types of AI products (AI-native, AI-enhanced, AI-enabled, AI-augmented) and how to classify your product.
View on LinkedIn →Build, Buy, or API Decision Framework
Decision matrix for whether to build AI from scratch ($500K+), buy a solution ($10K–100K), or use APIs ($500/month).
View on LinkedIn →Idea Validation Framework
4-step process to validate AI product ideas: Problem → Solution → Willingness to Pay → MVP.
View on LinkedIn →Competitive Analysis for AI Products
6-dimension analysis framework: Model, Data, Quality, Speed, Cost, Moat.
View on LinkedIn →AI MVP Definition Framework
How to define minimum viable product for AI: Core AI + Basic UI + Essential Infrastructure.
View on LinkedIn →User Research for AI Products
5-step user research process specific to AI products: Define → Choose Method → Recruit → Conduct → Synthesize.
View on LinkedIn →AI Metrics Framework
3-layer metrics hierarchy (Business → Product → AI-specific) and North Star metric selection.
View on LinkedIn →How LLMs Work
Simple explanation of tokens, context windows, temperature, and training — built for PMs, not engineers.
View on LinkedIn →CRISP Prompting Framework
5-part prompt structure (Context, Role, Instructions, Style, Parameters) improving accuracy from 65% to 85%.
View on LinkedIn →AI Quality Metrics Framework
5 quality dimensions — Accuracy, Relevance, Consistency, Safety, Latency — with measurement methods for each.
View on LinkedIn →Cost Management Framework
5-level cost optimisation: Model tiering, Prompt optimisation, Caching, Batching, Rate limiting — achieving 85–95% savings.
View on LinkedIn →Context Window Strategy
Understanding context limits and the three core solutions: Chunking, Map-reduce, and Bigger models.
View on LinkedIn →RAG Framework
When and how to implement Retrieval Augmented Generation using the 3-step process: Index → Retrieve → Generate.
View on LinkedIn →Evaluation & Testing Framework
How to create test sets, run evals, and iterate to >85% quality before shipping any AI feature.
View on LinkedIn →First AI Feature Framework
8-week plan from validation to launch: Validate → Build → Test → Beta → Iterate → Launch.
View on LinkedIn →AI Shipping Checklist
Pre-launch checklist covering Quality, UX, Infrastructure, Legal, and Launch readiness.
View on LinkedIn →AI Product Roadmap Framework
3-horizon roadmap (Now 70%, Next 20%, Future 10%) with RICE prioritisation.
View on LinkedIn →AI Error Handling Framework
8 types of AI errors with a 5-part error message structure and recovery strategies for each.
View on LinkedIn →A/B Testing AI Framework
What to test (Prompts, Models, Temperature, Context, Format) and how to run AI experiments.
View on LinkedIn →Competitive Moats Framework
6 types of AI moats ranked by defensibility: Data > Distribution > Product > Brand > Regulatory > Model.
View on LinkedIn →Scaling Framework
5 scaling bottlenecks — Cost, Latency, Quality, Infrastructure, Team — with solutions for each.
View on LinkedIn →AI Patterns Framework
Decision tree for Chatbot (0% autonomy) vs. Copilot (30%) vs. Agent (90%).
View on LinkedIn →Small Team AI Framework
5 principles to compete with 10x teams: 80/20, Buy don't build, Serial execution, Automate, Outsource.
View on LinkedIn →AI Compliance Framework
3 compliance tiers — Minimal ($1K–5K), Standard ($10K–25K), Heavy ($100K+) — with requirements for each.
View on LinkedIn →Fine-Tuning Decision Framework
4-question decision matrix to determine if fine-tuning is worth a $40K–90K investment.
View on LinkedIn →Multilingual AI Framework
6 critical areas for going global: Language selection, Model capability, Cultural adaptation, Prompts, UI/UX, QA.
View on LinkedIn →AI Monetisation Framework
7 pricing models with selection criteria: Flat, Usage-based, Tiered, Per-seat, Credits, Freemium, Outcome-based.
View on LinkedIn →AI PM Career Framework
3 pathways to AI PM (Engineer → AI PM, PM → AI PM, Other → AI PM) with timelines and salary ranges.
View on LinkedIn →Complete AI PM Cheatsheet
All 30 frameworks condensed with 4 decision trees, 4 checklists, and 4 reference cards.
View on LinkedIn →Future of AI PM Framework
7 trends (2026–2030), 4 predictions, 5-year roadmap, and specialisation paths for AI PMs.
View on LinkedIn →Want to go deeper on any of these?
The AI PM Blueprint Masterclass covers all 22 core frameworks in a single 3-hour live session — with templates, examples, and a 30-day action plan.