The most important outcome of AI adoption is seeing what's possible

2026-01-05 · Source: How I AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

The creation of an "AI Chief of Staff" role has significantly enhanced the speaker's ability to engage directly with AI product development and codebase specifics. This role facilitates detailed technical conversations, such as integrating new models like Gemini 3 into applications. It provides direct access to the company's monorepository, enabling a deep understanding of application architecture and construction that was previously only accessible through extensive code review. This initiative makes complex technical details more accessible to a broader audience, serving as an effective starting point for anyone involved in building new applications.

Key takeaway

For Directors of AI/ML seeking to deepen their team's technical understanding and accelerate product development, consider establishing a dedicated role like an "AI Chief of Staff." This approach can provide direct access to codebase details and foster more informed technical discussions, making complex architectural insights accessible beyond traditional code review and speeding up integration of new AI capabilities.

Key insights

Direct engagement with AI product development and codebase enhances technical understanding and accessibility.

Principles

• Proximity to code improves AI product development.
• Accessibility to technical details empowers builders.

Method

The AI Chief of Staff role involves direct interaction with AI product building, codebase analysis, and detailed technical discussions to bridge understanding gaps.

In practice

• Integrate new models like Gemini 3 into apps.
• Use monorepo access to understand app builds.

Topics

• AI Product Development
• AI Chief of Staff
• Codebase Access
• Gemini 3 Integration
• Technical Accessibility

Best for: Director of AI/ML, Executive, AI Engineer, Machine Learning Engineer, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by How I AI.