I spent 500 hours in ChatGPT, here’s what I learned

Spending hundreds of hours in ChatGPT leads to one practical conclusion: the biggest gains come less from “better prompts” and more from using the right model, configuring ChatGPT to match your work, and reducing friction so you actually use it daily. The playbook centers on three core models—GPT-4o for most tasks, GPT-4.5 for more humanlike conversation, and o3-mini-high for harder reasoning like math, science, and coding—so users stop wasting time on the wrong tool for the job.

Beyond model choice, the workflow gets a major upgrade through Projects and Custom Instructions. Projects let people create separate ChatGPT workspaces for different parts of life (for example, one for YouTube), attach relevant files like PDFs, and apply preset instructions that stay active across chats in that project. Customizing ChatGPT via the profile menu turns the assistant into a personal system prompt: users can set preferences such as avoiding small talk, prioritizing clarity and understanding, and steering away from telling them to consult professionals. The result is a version of ChatGPT that behaves consistently—far more useful than a blank account.

Image generation is treated as a business tool rather than a novelty. The key advantage highlighted is not just producing images from text, but converting or editing existing images. By attaching an image and instructing ChatGPT to add elements (like inserting a croissant into a photo), users can iterate toward logos, branding assets, and marketing visuals. The same approach is used for “viral format” thumbnails and ads: take inspiration from a successful thumbnail or advertisement, then prompt ChatGPT to recreate a realistic version in the same style while swapping the subject (e.g., crossing the Sahara instead of the Pacific).

To make ChatGPT part of everyday life, the advice shifts to setup and access. Setting ChatGPT as the default browser tab, installing the desktop app, and using the desktop widget (opened via a keyboard shortcut) all aim to cut delays that cause people to fall back on Google. Deep Research is positioned as the “personal researcher” for multi-step questions, but it requires careful clarification before it starts and can take 5–15 minutes. Access to stronger reasoning models inside Deep Research is presented as a major reason to pay for higher tiers.

Mobile use gets equal emphasis: the phone app supports camera-based analysis (like photographing an ingredient label and asking whether it fits dietary goals) and advanced voice mode for real-time conversation. Voice mode is framed as portable journaling and brainstorming—especially during walks—while the lock-screen widget further reduces friction.

Finally, the transcript lays out practical prompting fundamentals: include examples, use clear descriptive language, assign roles for better perspective, and repeat the most important instruction after a context dump. Canvas is recommended for drafting documents with a split interface (like letters or CV updates), and “rerun” plus model switching is suggested when outputs miss the mark.

Paid plans are discussed with a cost-benefit lens. ChatGPT Plus ($20/month) is portrayed as the best value for most users because it unlocks higher limits, better reasoning access, and Deep Research. The $200/month tier is described as mainly for heavy users—creators, researchers, programmers, or anyone hitting limits—because it adds extended access to reasoning models, advanced voice, and more Deep Research, plus extra access to Sora. Sora is presented as a top video generator for creating ad-style footage from prompts, with the added note that it can also generate images—making it useful for creative workflows without traditional production costs.