Here’s My Honest Review of GPT-5

Ever since GPT-5 dropped, the AI world hasn’t stopped speaking concerning the sheer vary of issues it may 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 experimenting GPT-5 with numerous prompts. I’ve listed a few of them under so you possibly can attempt them too and see how the mannequin really performs.

Earlier than we bounce 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:

Function: A shared device to trace each day posting progress throughout platforms, have fun completions, and preserve 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: Instantaneous animated confetti when a put up is logged as “completed.”
✅ Easy Interface: Coloration-coded by platform (e.g., LinkedIn = blue, Instagram = purple).
✅ Collaboration: Notes part for every put up to share hyperlinks or feedback.

Instance Workflow:

1. Harshit logs a LinkedIn put up → counter updates → CONFETTI!
2. Dashboard reveals: *”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 activity assignments, correct put up monitoring (4/day/platform), and satisfying confetti animations upon completion. The inclusion of each each day progress views and weekly summaries makes it sensible for group coordination. With its clear interface and construction (together with platform-specific coloration codes and motivational prompts), this serves as a wonderful developer reference. Minor enhancements like post-type categorization may strengthen V2, however the present model already delivers a stable basis.

Process 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 offers 3 quick clues (max 10 letters every). The AI then has 3 makes an attempt to guess the phrase. If the AI guesses accurately, 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 presently lacks the core function the place the participant can enter the key phrase for the AI to guess. Implementing this is able to make it totally align with the unique immediate. That mentioned, 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!

Process 3: Examination Prepration

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

• Definition and core ideas of Agentic AI
• Variations between SLMs and LLMs in agentic methods
• Function of reinforcement studying in autonomous brokers
• Moral concerns 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. Remaining rating report with % appropriate
3. Detailed rationalization for any mistaken solutions, citing sources

Output:

Statement:

Wow! Killer MCQ take a look at for Agentic AI prep! Quick however highly effective questions nail all key ideas – autonomy, instruments, ethics. Instantaneous 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 research enjoyable AND efficient. Finest examination hack ever!

Process 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 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:

Statement:

I tried to automate knowledge 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 bought the duty completed!

Process 5: Reasoning and Picture Evaluation

I beforehand tried this activity 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 the moment. Let’s see if GPT-5 is ready to resolve this!

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

Output:

Incorrect reply. Also, 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 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 any such 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 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 good mannequin on the market.
GPT-4.5 arrives and surpasses GPT-4o in efficiency.
GPT-4o places in arduous 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 pictures
2. Picture High quality – Produces noticeably lower-resolution outputs with extra artifacts
3. Immediate Adherence – Continuously misunderstands or ignores particular requests

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

Finish Be aware

Whereas GPT-5 performs properly on coding duties, its shortcomings in reasoning, picture era, and common 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.