In a remote environment, immediate access to colleagues isn't always possible. A GPT loaded with context about your company and cofounders' thinking can act as a thought partner, helping you overcome the "blank slate" problem without scheduling a meeting.

AI is restructuring engineering teams. A future model involves a small group of senior engineers defining processes and reviewing code, while AI and junior engineers handle production. This raises a critical question: how will junior engineers develop into senior architects in this new paradigm?

To save time with busy clients, create a "synthetic" version in a GPT trained on their public statements and past feedback. This allows teams to get work 80-90% of the way to alignment internally, ensuring human interaction is focused on high-level strategy.

By creating a central repository infused with company strategy and market data, AI tools can help junior PMs produce assets with the same contextual depth as a 20-year veteran, democratizing product intuition and standardizing quality across the team.

Advanced management techniques, like using AI to suggest team improvements, no longer require specialized software or data science teams. A manager can use an off-the-shelf tool like ChatGPT, feed it a simple spreadsheet of performance data, and ask it to run the analysis, democratizing access to managerial 'superpowers'.

Create AI agents that embody key executive personas to monitor operations. A 'CFO agent' could audit for cost efficiency while a 'brand agent' checks for compliance. This system surfaces strategic conflicts that require a human-in-the-loop to arbitrate, ensuring alignment.

Instead of static org charts, AI can monitor team performance and sentiment to propose small, ongoing adjustments—like rotating a member for fresh eyes or changing meeting formats. This turns organizational design into a dynamic, data-driven process of continuous improvement, overcoming human inertia.

Separating AI agents into distinct roles (e.g., a technical expert and a customer-facing communicator) mirrors real-world team specializations. This allows for tailored configurations, like different 'temperature' settings for creativity versus accuracy, improving overall performance and preventing role confusion.

A prototype-first culture, accelerated by AI tools, allows teams to surface and resolve design and workflow conflicts early. At Webflow, designers were asked to 'harmonize' their separate prototypes, preventing a costly integration problem that would have been much harder to fix later in the development cycle.