6 GPT-5 Prompts you Cannot Afford to Miss

Ever since GPT-5 dropped, the AI world hasn’t stopped speaking in regards to the sheer vary of issues it may well do. Coding, writing help, picture era, even performing as an autonomous agent, it’s like having all of the issues a chatbot can do at one place. However is GPT-5 really good? Does it actually outperform earlier OpenAI fashions? For the reason that launch, I’ve been experimentin GPT-5 with various prompts. I’ve listed a few of them beneath so you may attempt them too and see how the mannequin really performs.

Earlier than we soar into the prompts, try this detailed article on what GPT-5 is and the way it’s completely different from earlier OpenAI fashions.

Let’s begin going although the duties one after the other:

Goal: A shared instrument to trace every day posting progress throughout platforms, have fun completions, and keep consistency.

Customers & Roles:

1. Nitika (Social Media Supervisor) – Oversees all platforms
2. Harshit (LinkedIn Supervisor) – Posts: 4/day
3. Riya (Instagram Supervisor) – Posts: 4/day

Key Options:
✅ Day by day Aim Monitoring: Visible counter for deliberate vs. accomplished posts (4/day/platform).
✅ Confetti Celebration: Immediate animated confetti when a submit is logged as “completed.”
✅ Easy Interface: Shade-coded by platform (e.g., LinkedIn = blue, Instagram = purple).
✅ Collaboration: Notes part for every submit to share hyperlinks or feedback.

Instance Workflow:

1. Harshit logs a LinkedIn submit → counter updates → CONFETTI!
2. Dashboard exhibits: *”3/4 posts completed for LinkedIn | 1/4 for Instagram”*.

Bonus: Weekly abstract report auto-generated each Friday.

Output:

Statement:

The social media tracker prototype completely executes all requested options—clear job assignments, correct submit monitoring (4/day/platform), and satisfying confetti animations upon completion. The inclusion of each every day progress views and weekly summaries makes it sensible for crew coordination. With its clear interface and well-documented JSON construction (together with platform-specific shade codes and motivational prompts), this serves as a superb developer reference. Minor enhancements like post-type categorization may strengthen V2, however the present model already delivers a strong basis for manufacturing.

Job 2: Create a Guess the Phrase Recreation

Create a cute and interactive UI for a “Guess the Phrase” recreation the place the participant is aware of a secret phrase and gives 3 brief clues (max 10 phrases every). The AI then has 3 makes an attempt to guess the phrase. If the AI guesses appropriately, it wins; in any other case, the participant wins.

Output:

Statement:

Whereas the sport delivers a enjoyable expertise with its cute UI and clean gameplay, it at present lacks the core characteristic the place I (the participant) can enter the key phrase for the AI to guess. Implementing this might make it absolutely align with the unique immediate. That stated, the confetti celebration, clear design, and responsive suggestions make it a fascinating prototype. With the word-input mechanic added, this might be an ideal 10/10!

Job 3: Examination Prepration

I’m getting ready for an examination on Agentic AI and have lined primary/intermediate matters like:

• Definition and core rules of Agentic AI
• Variations between SLMs and LLMs in agentic programs
• Function of reinforcement studying in autonomous brokers
• Moral issues in agentic AI deployment
• NVIDIA’s analysis on SLMs for agentic workflows

Create a 10-question MCQ take a look at with:

1. 4 choices per query (single appropriate reply)
2. Ultimate rating report with % appropriate
3. Detailed clarification for any flawed solutions, citing sources

Output:

Statement:

Wow! Killer MCQ take a look at for Agentic AI prep! Brief however highly effective questions nail all key ideas – autonomy, instruments, ethics. Immediate suggestions explains each reply with actual examples (like how agentic AI books journeys in another way than chatbots). Completely mimics exams with 60-second timed questions. Paste your syllabus to customise it. 10/10 for making examine enjoyable AND efficient. Finest examination hack ever!

Job 4: Operational Duties

I needed to fill some trackers for the weekly evaluation, as an alternative of doing it manually, I requested GPT-5 to get the data for me.

Give me listing of all of the posts and their hyperlink posted on these channel on and afater 1st of august 2025 – https://www.instagram.com/analytics_vidhya/, https://www.linkedin.com/firm/analytics-vidhya/
Output format is a desk – Date | Post_url | platform 

Output:

Statement:

I tried to automate information assortment for weekly evaluation by asking GPT-5 to retrieve posts from Analytics Vidhya’s Instagram and LinkedIn (posted on or after August 1, 2025). The output was incomplete, whereas each platforms sometimes publish 4 posts per day (totaling ~25–32 posts per platform for the interval), GPT-5 returned far fewer entries.

For the reason that GPT-5 did not seize the total dataset precisely, I went to Manus AI and bought the duty completed!

Job 5: Reasoning and Picture Evaluation

I beforehand tried this job with OpenAI’s o3 and o4-mini and each failed at it. To know extra checkout my earlier weblog on – 6 o3 Prompts You Should Strive At this time. Let’s see if GPT-5 is ready to resolve this!

Present an inventory of all of the particular person within the drawing together with the colour they’re drawn with.

Output:

Incorrect reply. Additionally, as this was a reasoning query the GPT-5 pondering mode ought to have answered to this, however the reply was given by the conventional GPT-5 model. I chosen the pondering mode manually to see if it may well reply higher. Right here’s the output:

The response stays incorrect regardless of utilizing Pondering Mode. Primarily based on this efficiency, GPT-5’s reasoning capabilities don’t seem to fulfill OpenAI’s marketed benchmarks for this sort of complicated question. I anticipated extra correct outcomes.

Job 6: Picture Technology

Once more, I’m attempting to match the picture era talents of GPT-5 vs GPT 4o. I beforehand tried the next immediate in my previous article on – 4o Picture Technology is SUPER COOL.

Create a 4-image story based mostly on the next sequence:
GPT-4o believes it’s the best mannequin on the market.
GPT-4.5 arrives and surpasses GPT-4o in efficiency.
GPT-4o places in exhausting work to enhance itself.
GPT-4o turns into smarter by mastering picture era.

Output:

Statement:

It’s clear that GPT-5’s picture era represents a major step backward from GPT-4o. The mannequin struggles with:

1. Textual content Rendering – Fails to precisely incorporate or show textual content inside photos
2. Picture High quality – Produces noticeably lower-resolution outputs with extra artifacts
3. Immediate Adherence – Regularly misunderstands or ignores particular requests

For a supposedly improved mannequin, these regressions in core performance are unacceptable.

Finish Word

Whereas GPT-5 performs nicely on coding duties, its shortcomings in reasoning, picture era, and basic help (beforehand ChatGPT’s strongest promoting factors) make it a downgrade for many sensible makes use of. The attraction of ChatGPT was its versatility as an AI assistant for on a regular basis duties, not simply coding (the place specialised instruments exist already).

Personally, I discovered the general expertise underwhelming, the mannequin did not ship the tangible worth I’d come to count on from earlier variations (like o3’s reasoning or GPT-4o’s picture era). The dearth of mannequin transparency (no seen indicator of which model is producing responses) solely provides to the uncertainty.

Check out some prompts your self in GPT 5 and let me know your suggestions within the remark part beneath.