Dansday

Spending some time experimenting with Gemini recently

Spending some time experimenting with Gemini recently

Published on Apr 8, 2026

I have been spending some time experimenting with Gemini recently, and my first impressions are honestly a bit of a mixed bag. We are always looking for the best tools to speed up our workflow, but jumping into a new ecosystem always reveals some rough edges.

When it comes to coding, Gemini is incredibly smart, but it also has moments where it completely drops the ball. The biggest issue I have encountered so far is hallucination, particularly when it comes to tool calling. If you are trying to wire it up to execute specific functions or interact with external APIs, you have to be extra careful. It tends to invent parameters or confidently call tools that do not exist in the context provided. For a coding assistant, predictability is everything, and dealing with these hallucinations can sometimes cost more time than it saves.

However, it is not all bad news. Where Gemini really shines for me right now is in general-purpose tasks. If I step away from code and just need it to help outline or write an article, it handles the context beautifully. It feels much more fluid for natural language tasks.

Another area where I have been pleasantly surprised is image generation. I have been using it alongside Banana Pro, and the pipeline is surprisingly smooth. I rarely run into problems or weird artifacts, making it a solid choice when I need quick, reliable visual assets for a project.

So, why do I keep coming back to it despite the coding hiccups? It comes down to the limits. The request allowance is significantly more generous compared to what I get with ChatGPT or Claude. When I am deep into a brainstorming session or generating a large batch of general-purpose content, not having to worry about hitting a strict message cap is a massive advantage.

Here are my current takeaways for anyone thinking about integrating it into their daily routine:

  1. Coding and Tool Calling
    Tread carefully. You will need strict validation and fallback logic because it hallucinates heavily during function calls.
  2. Content Writing
    Excellent context understanding. It requires very little wrestling to get a good draft for articles and general text.
  3. Image Generation
    Pairing it with Banana Pro has been a seamless experience with practically zero issues.
  4. Usage Quotas
    The generous request limits make it my go-to for high-volume tasks where Claude or ChatGPT would typically cut me off.

For now, I am keeping it in my toolkit. It might not be my primary pair programmer just yet, but for writing and generating media without hitting a limit every hour, it is definitely pulling its weight.