![Building a Personal AI Model Map [AI Operators Bonus Episode]](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/41472609/41472609-1752234663609-8665756a468e5.jpg)
The host built a simple website for a community challenge. Because the project was "vibe coded" with low stakes, a user-suggested "Teams" feature was implemented in just 10 minutes, leading to rapid adoption by over 200 teams.
A significant source of competitive advantage ("alpha") comes from systematically testing various AI models for different tasks. This creates a personal map of which tools are best for specific use cases, ensuring you always use the optimal solution.
The traditional product management workflow (spec -> engineer build) is obsolete. The modern AI PM uses agentic tools to build, test, and iterate on the initial product, handing a working, validated prototype to engineering for productionalization.
Even for an expert deeply immersed in AI, the mental shift to constantly translating opportunities into software via AI tools isn't immediate. The host notes it took a year for this "vibe coding" approach to become a fully ingrained, reflexive way of working.
When using AI development tools, first leverage their "planning" mode. The AI may correctly identify code to change but misinterpret the strategic goal. Correct the AI's plan (e.g., from a global change to a user-specific one) before implementation to avoid rework.