How to use Claude Code to build a board room of world class Product Mentors

2026-02-02 · Source: Department of Product · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, short

Summary

This Knowledge Series outlines a method for non-engineers to create a "boardroom" of AI product mentors using Claude Code. Inspired by a founder who used a custom AI version of Steve Jobs for business decisions, the series details how to build an entire team of world-class product thinkers. These AI mentors, trained on specific expertise like strategy, AI product sense, decision-making, design, and communication, can critique ideas and refine concepts. The process involves setting up Claude Code, creating mentor files with detailed thought processes, transforming the system into a usable front-end chat application, and connecting it to third-party tools such as Linear, Figma, and Notion to ground decisions in real-world data. The series is structured into four parts, guiding users from mentor selection to system integration.

Key takeaway

For AI Product Managers or product teams seeking expert guidance, consider building a custom AI mentor system with Claude Code. This approach allows you to simulate a "boardroom" of world-class product thinkers, offering critiques and refining ideas based on specialized training. Your team can leverage this system to assess designs, make strategic decisions, and craft product strategies, potentially integrating with tools like Figma or Jira for data-driven insights.

Key insights

Claude Code enables non-engineers to build AI mentor systems for strategic product decision-making.

Principles

• AI mentors can be trained on specific expertise.
• Integrate real-world data for grounded AI decisions.

Method

Select mentors, build skill sets in Claude Code using prompt techniques, create an interactive chat application, and connect to external tools like Linear or Figma.

In practice

• Use Claude Code for AI persona creation.
• Train AI on product launch transcripts.
• Connect AI to project management tools.

Topics

• Claude Code
• AI Product Mentors
• Prompt Engineering
• Product Strategy
• AI Agents

Best for: AI Product Manager, Product Manager, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Department of Product.