Gemini Pro UI is a disgusting productivity disaster...
I watched loads of videos of Youtubers singing praises for Gemini, so I decided to give it a go.
I'm flabbergasted by the truth: Gemini is a hot mess, really hard to navigate and with a UI that makes the experience even worst (Sissie Hisao must have been totally drunk when she approved this).
After months using the PRO versione of Gemini, I am officially done making excuses for the state of its interface and its deteriorating logical agility. While the model’s raw cognitive capacity is arguably higher than ChatGPT in specific benchmarks, the actual user experience is an engineering failure of epic proportions.
Here is a technical breakdown of why this product is currently unusable for professional workflows:
1. The Sidebar is a Cognitive Graveyard
- A. There is zero organization. No folders, no tags, and no categorization for "Gems."
- B. Within a specific Gem, I can only see the 3 most recent chats. Everything else is dumped into a massive, chronological "Chat History" on the left, mixed with every other random query.
- C. For a power user this "flat" UI design increases cognitive load by 100%. I shouldn't have to perform a manual lexical scan of 50 titles just to find a specific thread and I'm shocked that the team thought it was a great idea... I'm seriously speechless.
2. The Hallucination Loop & "The Restart Tax"
- A. Gemini enters "hallucination loops" far more frequently than its competitors. Once it goes off the rails, it becomes "contextually poisoned."
- B. It is nearly impossible to steer the model back once a loop starts. The only technical solution is to abandon the thread and start a new one.
- C. Because I’m forced to restart chats constantly to fix the model's internal failures, the sidebar becomes even more cluttered, making the UI mess exponentially worse.
3. Logical Anchoring & Context Rigidity
- A. Compared to ChatGPT, Gemini is significantly worse at predicting and connecting past and present information.
- B. The model suffers from "Information Anchoring." If I provide a piece of data at the start of a chat and then modify or update that data later, Gemini remains anchored to the initial (now incorrect) information.
- C. It fails to perform "dynamic context updates." It continues to reference the initial state of the conversation even when explicitly told that the parameters have changed. It’s as if the model’s "attention" is stuck in the past.
4. The "Paid Service" Paradox
- I am paying for a premium service that treats my data like a temporary scratchpad rather than a structured knowledge base. The lack of basic UX features (like a way of categorise the chat at a glimpse) is an insult to paying customers.