Localizing Your AI PM Game on Your Laptop

Why rent your AI when you can own it? Most product managers lean on commercial copilots and chatbots until the bill shows up, the usage limits hit, or their company panics about data privacy. In this session, Dean Peters will show how to run your AI PM workflow locally using open source equivalents to popular tools and models such as Cursor, Lovable, n8n, Claude, and ChatGPT alternatives.

The session moves in three steps: first, setting up your laptop for localized success; second, running a quick vibe coding example to show how local AI can accelerate creativity; third, chaining tasks with a lightweight agent. Along the way we will also look at fine-tuning with tools like Uncruft so your localized LLMs are not just powerful, but personalized to your work.

Attendees will learn how to:
- Protect sensitive data while working locally
- Save money by replacing subscriptions
- Avoid throttling and usage limits
- Experiment freely with vibe coding, agents, and fine-tuning
- Work faster, smarter, cheaper, and safer

What you should know: open source generative AI tools now rival commercial platforms.
How this helps: you gain control, privacy, personalization, and cost savings while leveling up your PM game.
What’s at stake: stay cloud-locked and risk blown budgets, blocked workflows, and missed learning.
What you’ll do better: run your own generative AI stack, fine-tune with your own data, and bring back insights without an expense report. Get ready for the great localized LLMs movement in 2026.