Practical frameworks, field-tested templates, and clear explanations — for modern product and growth professionals.
Frameworks, case studies, and field notes on building products people love.
ExploreStrategy, positioning, and execution for modern marketing teams.
ExploreActivation, retention, PLG, and the metrics that move the needle.
ExploreAI concepts, tools, and how AI is changing product and marketing work.
ExploreLearn how AI Product Managers estimate LLM, embedding, RAG, and human-support costs—and build a business case for an AI customer-support chatbot.
Learn context engineering for AI product management, including RAG, vector embeddings, prompt engineering, fine-tuning, and how to choose the right approach.
Learn the major types of APIs—Open, Partner, Internal, and Composite—and API architectures such as REST, SOAP, and RPC, with practical guidance for AI Product Managers.
Understand how LLM inference works, from tokenization and embeddings to self-attention, logits, sampling, and detokenization.
Learn what a confusion matrix is, how to interpret TP, TN, FP, and FN, and why it matters when evaluating machine learning classification models.
Learn how tokenization, vector embeddings, dimensions, semantic search, and AI model inputs work—and why AI Product Managers should understand them.
12 free templates for PMs, marketers, and growth teams
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