Creating a digital twin allows creators and PMs to produce authentic-feeling video content, like Loom updates or UGC, without the daily friction of being "camera-ready." By combining a realistic AI avatar and voice with screen recordings, you can scale video production and internal communication.
Advanced AI agents like Codex offer a "Computer Use" skill that lets them control your computer's browser and mouse. This is a paradigm shift from traditional automation, which relies on APIs or command-line interfaces. It allows the agent to perform tasks on any application, just as a human would.
To avoid generic or poor-quality AI-generated designs, use "Taste Skills." These are installable modules for AI agents (like in Codex) that provide stylistic rules, knowledge of animation libraries, and design principles, ensuring the final output has a professional aesthetic quality.
In the current wave of AI-driven layoffs, it's non-technical PMs being let go. Technical proficiency is no longer about coding but understanding the AI ecosystem, its tools, and its terminology. This allows PMs to effectively manage AI-powered workflows and teams, making them indispensable.
Tools like Codex are moving development away from traditional IDEs (VS Code) and design tools (Figma). The new paradigm is a project-based chat interface where AI agents manage files, write code, and execute tasks, fundamentally changing the creator's role to that of an orchestrator.
The traditional PM role of coordinating human teams is shifting. With AI, PMs now manage an "army of agents" working simultaneously on different tasks and projects. The core human skill becomes orchestrating this fleet, ensuring quality, and providing the strategic direction and "taste" that AI lacks.
Instead of relying on cloud-based knowledge, AI agents gain immense power and context by operating on local files. This local-first approach improves performance, ensures privacy, and allows the AI to build a comprehensive, private knowledge base of your work, countering the 'cloud everything' trend.
Before asking an AI agent to perform a complex task like building an app, instruct it to "plan this" first. This forces the agent to outline its architecture, features, and steps. This allows you to review and approve the plan, preventing wasted time, tokens, and incorrect execution.