Tutorial hell feels productive. You watch videos. Save prompts. Bookmark courses. Learn terminology. Then you try building something alone and freeze. Consumption is not practice.

Computer-use agents just got cheaper. GPT-6.1 Terra can now: - use computers precisely - reason over visuals API input is $1 per million tokens, 50% below GPT-5.6 Terra and GPT-6.1 Sol. Test it on form and proposal workflows.

A simple way to get less agreeable AI responses: Ask it to challenge your assumptions before answering. Tell it to identify weak logic, missing evidence, and opposing arguments. You do not always need another answer. Sometimes you need resistance.

Want better feedback on your SaaS? Do not ask users, “Do you like it?” Watch them use it and ask: “What did you expect to happen here?” That question can expose confusing UX very quickly.

One underrated AI use: rehearse difficult conversations. Describe the situation. Ask AI to predict the pushback. Practice your responses before the real conversation happens.

AI gets much more useful when you explicitly ask it to disagree with you. Tell it to challenge your assumptions, identify weak reasoning, and explain why your plan might fail. Do not let agreement fool you into thinking an idea is strong.

One overlooked way to learn AI: Ask AI to teach you AI. When something confuses you, ask what it means. When your prompt fails, ask why. When your workflow breaks, ask it to explain the failure. Use the tool as the tutor.