Introduction
GPT-5 unlocks practical advances for AI models, from video-as-context workarounds to stronger code generation and targeted reasoning.
In short: Nick Wentz’s article outlines 6 use cases and 4 expert prompts to get real value from GPT-5 today, plus limits and best practices.
Context
Since GPT-3.5 reshaped workflows, competition (Google, Anthropic, Deepseek) accelerated multimodality, agentic flows and better coding. GPT-5 aims to close gaps: stronger frontend, IDE support, more agile handling of visual/audio inputs, and a Mixture-of-Experts architecture that picks the right tool without manual model switching.
What you can do with GPT-5
Quick tour of six key use cases with impact and constraints.
1) Video as context (workarounds): feed screenshots with subtitles or audio via Whisper; “Wildlife Expert” catalogs flora/fauna with storage controls and auto-deletion.
2) Study Buddy: upload recorded lectures, extract transcripts and visuals, then produce a one-page study sheet with the essentials.
3) Portfolio Upgrade: turn a portfolio into a “digital museum” with animations, transitions and motion graphics across devices.
4) Cat game: with Agent Mode (Plus subscription), generate a lightweight touch browser game, timer, scoring and toy-inspired art.
5) Occam’s Razor: set reasoning_effort to minimal for concise decision briefs without unnecessary chains of thought.
6) Think Outside The Box: push unconventional MoE paths (diagrams, logic models, creative angles) and fix prompt conflicts first.
Limits, risks and tips
Key caveat: no native video input yet; rely on indirect methods. Avoid conflicting instructions to reduce hallucinations; use prompt optimization to improve clarity.
Practical tips: define clear goals, iterate on prompts, keep human oversight where needed and plan for technical constraints (storage, performance, APIs).
Conclusion
GPT-5 delivers tangible gains when paired with concrete goals and well-structured prompts. The six use cases show how to extract value now while balancing limits, optimization and iterative collaboration.
FAQ
What is the most useful GPT-5 upgrade for AI models?
The Mixture-of-Experts setup that auto-selects the right tools, reducing manual model choices.
Does GPT-5 natively accept video input?
Not yet. Use indirect methods: screenshots with subtitles and separate audio via Whisper to build context.
How to use GPT-5 for studying with minimal effort?
Feed transcripts and slide images and generate a one-page summary using reasoning_effort set to minimal.
Can GPT-5 reliably build websites and frontend?
Yes, it greatly improves frontend output and integrates with popular IDEs, cutting complex manual steps.
How to reduce hallucinations with GPT-5 in AI research?
Avoid contradictory prompts and run optimization tools to remove ambiguity before execution.
Will the GPT-5 cat game run on older tablets?
Yes, if you keep code lightweight with simple graphics, timer and basic screens for performance.