Product managers who drive strategy, development, and launch of products.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building prototypes and MVPs to test ideas quickly before committing to full development.

Conducting user interviews, surveys, and usability studies to understand customer needs and validate decisions.

Using AI coding assistants and tools to write, review, and ship code faster.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

AI for Product Teams: Idea to Spec to Ship

AI Advisor | Google AI Accelerator Alum

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