I spent 10 days trying to force my entire development workflow into a single AI tool. I wanted one environment for everything: writing code, running automations, and publishing content. That was a mistake. I ran a test filtering 300 engineering profiles on linkedin. chatgpt codex pulled the first batch, hit an ethical safety refusal, and locked up completely I moved the exact same task to claude code with its browser extension, and it ran for 4 hours without a single warning The next day, the tables turned. I had to publish a 1000-word newsletter to substack, which has no public API. claude code struggled with the visual editor. chatgpt codex opened its in-app browser, logged into my account, placed the images, styled the headers, updated the SEO metadata, and added my footer template in 3 minutes. I stopped looking for a single winner and split my work across 2 lanes: - chatgpt codex for desktop apps and visual web tasks: It handles platforms without public APIs, lets me click visual diffs before saving to github, and controls my local mac tools - claude code for deep terminal automation: It runs long bash scripts, extracts data from restricted endpoints, and handles multi-file refactors without tripping safety filters I use codex when I need eyes on a browser screen, and claude when I need horsepower in the command line. When you automate daily tasks, do you force everything into 1 ecosystem, or do you run 2 models side by side?