When I see Claude perform well or poorly, I can enter memory mode and instruct it to memorize specific guidelines for future interactions.

Claude operates by analyzing prompts, taking screenshots at each step, and adjusting its actions as needed, which is part of its 'agent loop' that enables it to handle complex tasks autonomously.

Claude lacks an innate sense of time, so I provide it with information about how long it's been trying to perform a task, which helps it recognize when to reconsider its approach.

Claude's ability to develop strategies and question previous approaches has improved, allowing it to backtrack and try different solutions when faced with challenges.

Claude.md files serve as memory and instructions for Claude, allowing users to share important context and commands across projects.

One effective strategy is to give Claude a step count for its actions, helping it track its progress and avoid getting stuck.

The iteration process involves watching Claude, identifying its struggles, and providing it with minimal yet essential context to improve its reasoning.

Claude's ability to understand screen content allows it to automate repetitive tasks, like searching for information and filling out forms, enhancing productivity significantly.

The core skill that has improved in Claude is its ability to plan, execute actions, and adjust strategies based on new information, which is essential for success in various tasks.