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Monday, August 11, 2025

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 could actually do. Coding, writing help, picture era, even appearing 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 experimenting GPT-5 with numerous prompts. I’ve listed a few of them under so you’ll be able to strive them too and see how the mannequin really performs.

Earlier than we leap 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 software to trace every day posting progress throughout platforms, have a good time 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:
✅ Each day Purpose Monitoring: Visible counter for deliberate vs. accomplished posts (4/day/platform).
✅ Confetti Celebration: On the spot animated confetti when a publish is logged as “performed.”
✅ Easy Interface: Colour-coded by platform (e.g., LinkedIn = blue, Instagram = purple).
✅ Collaboration: Notes part for every publish to share hyperlinks or feedback.

Instance Workflow:

  1. Harshit logs a LinkedIn publish → counter updates → CONFETTI!
  2. Dashboard reveals: *”3/4 posts performed for LinkedIn | 1/4 for Instagram”*.

Bonus: Weekly abstract report auto-generated each Friday.

Output:

Remark:

The social media tracker prototype completely executes all requested options—clear job assignments, correct publish 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 staff coordination. With its clear interface and well-documented JSON construction (together with platform-specific coloration codes and motivational prompts), this serves as a superb developer reference. Minor enhancements like post-type categorization might strengthen V2, however the present model already delivers a stable basis for manufacturing.

Process 2: Create a Guess the Phrase Sport

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:

Remark:

Whereas the sport delivers a enjoyable expertise with its cute UI and easy gameplay, it presently lacks the core characteristic the place the participant can enter the key phrase for the AI to guess. Implementing this may make it totally align with the unique immediate. That mentioned, the confetti celebration, clear design, and responsive suggestions make it an enticing prototype. With the word-input mechanic added, this may very well be an ideal 10/10!

Process 3: Examination Prepration

I’m making ready for an examination on Agentic AI and have coated primary/intermediate subjects like:

  • Definition and core ideas of Agentic AI
  • Variations between SLMs and LLMs in agentic techniques
  • 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 right reply)
  2. Remaining rating report with % right
  3. Detailed clarification for any flawed solutions, citing sources

Output:

Remark:

Wow! Killer MCQ take a look at for Agentic AI prep! Brief however highly effective questions nail all key ideas – autonomy, instruments, ethics. On the spot suggestions explains each reply with actual examples (like how agentic AI books journeys in a different 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. Greatest examination hack ever!

Process 4: Operational Duties

I needed to fill some trackers for the weekly evaluation, as a substitute of doing it manually, I requested GPT-5 to get the knowledge for me.

Give me checklist 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:

Operational Tasks | GPT-5 Prompts

Remark:

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 usually 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 received the duty performed!

Process 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 Attempt As we speak. Let’s see if GPT-5 is ready to clear up this!

Present a listing of all of the individual within the drawing together with the colour they’re drawn with.

Colored-Drawing | GPT-5

Output:

Image Analysis - GPT-5

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

Image Analysis

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

Process 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 outdated 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 good mannequin on the market.
GPT-4.5 arrives and surpasses GPT-4o in efficiency.
GPT-4o places in onerous work to enhance itself.
GPT-4o turns into smarter by mastering picture era.

Output:

Image analysis

Remark:

It’s clear that GPT-5’s picture era represents a big 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 – Steadily 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 normal 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 anticipate 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 under.

Hiya, I’m Nitika, a tech-savvy Content material Creator and Marketer. Creativity and studying new issues come naturally to me. I’ve experience in creating result-driven content material methods. I’m nicely versed in web optimization Administration, Key phrase Operations, Internet Content material Writing, Communication, Content material Technique, Enhancing, and Writing.

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