Go beyond automating administrative tasks. Set up recurring AI jobs, like in Codex, to analyze your output (e.g., YouTube videos) and provide brutally honest, negative feedback. This creates a system for continuous, unbiased improvement.
For subjective tasks, refining instructions has diminishing returns. The most effective way to improve AI performance is to provide it with a set of high-quality examples of the desired output. A library of five great examples is more powerful than a perfectly crafted prompt.
Future AI models will learn complex, multi-step tasks by watching screen recordings. Companies should begin capturing video of their key internal workflows now. This data, which is currently discarded, will become a valuable proprietary asset for training AI agents to automate bespoke business processes.
Features like Codex's Chronicle, which passively watches a user's screen, represent the next frontier in AI productivity. The agent gains context without explicit instruction, reducing repetitive explanations and forcing users to trade privacy for significant gains in workflow efficiency.
Separating AI tools for business and coding tasks creates friction. The most powerful AI "super apps" like Codex unify these functions in a single interface, recognizing that modern knowledge workers and founders perform both types of tasks seamlessly.
Tools like OpenAI's Codex are integrating coding, document creation, browser control, and app-specific plugins into one platform. This signals a race among AI companies to become the central, unified "super app" where all knowledge work happens.
The evolution from terminal-based interfaces (TUIs) like early Claude Code to graphical user interfaces (GUIs) like Codex is critical. To reach a broader audience beyond developers, AI agents must offer clean, simple, and visual interfaces for managing even complex agentic workflows.
The next major leap for AI agents isn't just better models, but deeply integrated, stateful browsers like OpenAI's Atlas within Codex. When an AI can operate within a browser that remembers logins and context, it removes a major barrier to automating almost any web-based task.
Don't get locked into a single AI model. Advanced platforms like Codex allow you to call competing models (e.g., Claude) from its terminal. This "best of breed" approach lets you use your preferred interface while still accessing the unique strengths of different models for specific tasks, such as using Claude for design.