Use AI Reviews

Summary: Long-form content is where this really proves its value. Blog posts, case studies, and newsletter drafts all come together faster here than anywhere else. The consistency across sections saves the usual headache of stitching together disjointed pieces.

Positive: Wrote an entire 2,000-word blog post in increments by chatting in the chat with the model. Maintaining tone and structure throughout the blog post became easier due to the capability of editing each individual segment rather than the whole post.

Negative: When working on very long outputs the chat sometimes truncates the end of a response. A continue button or auto-pagination for longer generations would prevent that from disrupting the flow.

Summary: Campaign ideation sessions used to plateau fast when relying on a single model. Now the same prompt goes through claude, gemini, and gpt-4 and the range of ideas that come back is noticeably wider. Creativity benefits from disagreement.

Positive: Running the same brainstorming prompt through three different models produces genuinely distinct ideas. The variety isn't just superficial rewording either. Each model approaches the problem from a different angle which opens up creative directions.

Negative: There's no way to merge or combine outputs from multiple models into a single consolidated response. A blend or synthesis feature would save manual copy-paste editing time.

Summary: This has quietly become the first thing opened every morning. Quick translations, email drafts, meeting note summaries, all handled from one tab. The simplicity is what makes it stick. Nothing flashy, just consistently useful across the board.

Positive: The interface is clean and highly responsive when used on desktop and mobile devices. All actions, from selecting a model to uploading files, take place inside the chat window, which is streamlined without any need for extra menu tabs or pop-up windows.

Negative: Mobile responsiveness is pretty good but the buttons are positioned just a little too close to each other, creating some challenges when attempting precise clicks while in hurry.

Summary: Debugging a difficult SQL join query which gave me incorrect results. I ran the query using deepseek initially, but when I still could not find the error, used gpt-4 in the same conversation.

Positive: Tested coding assistance in Python, JavaScript, and SQL and the outputs were clean and functional across all three. The ability to swap models for a second take on the same problem catches bugs that a single AI might miss entirely.

Negative: The lack of an inbuilt code execution environment in the chat room prevents you from testing the code in real-time. The presence of such an environment would do away with the need for copy-pasting into other external editors.

Summary: Having too much stuff to read in my inbox is a real problem. Reading through every attachment that is 10 pages long is not very feasible. Pasting long documents on use ai to get a summary back in less than a minute is saving me an hour every day.

Positive: The summarization feature is useful to create a summary of long documents with clean and well-structured content without sacrificing important information. I have tried it with legal memos, earnings reports, and long email threads. It is accurate and concise.

Negative: Summaries of very technical documents sometimes oversimplify domain-specific terminology. An option to set a complexity level or audience type would keep the output appropriately detailed.

Summary: When it comes to evaluating which model writes better for customers, it’s essential to compare the same prompt for different providers. The comparison view helped in seeing the difference in tone and structure within a matter of seconds.

Positive: Comparing gemini 2.0 flash and claude opus on the same prompt in the comparison view is beneficial, especially in terms of tone and structure. It’s easy to evaluate both since there’s zero friction in switching between the two.

Negative: The comparison view can compare two models at a time. It would be beneficial if it could compare three models at a time because it would help in evaluating more choices for a more informed decision.

Summary: Rolling this out across the department shifted how everyone approaches AI-assisted tasks. The variety of models encouraged experimentation and the shared workspace means everyone benefits from what others discover. A quiet but meaningful upgrade.

Positive: Having different models in one place gave us a better understanding of how different AI models can approach the same prompt. This, in turn, led us to better prompt techniques and what model is best for what task.

Negative: There is no way to save or share prompt templates within the workspace. This is something that could greatly improve the way the tool is utilized by the entire team within the different departments.

Summary: Morning commute time has been repurposed as work time. Voice dictation makes it easy to get ideas and rough drafts done in the car. When the desk is reached, everything is already in the chat and ready to go. Practical and genuinely time-efficient.

Positive: Voice commands for dictation work surprisingly well. Spoke the text of the paragraph above, and it was transcribed correctly with punctuation. The combination of this feature with model selection makes the morning routine a hands-free affair.

Negative: One feature missing from voice commands currently is the ability to switch models by name. The ability to say "use Claude" instead of clicking the selector would complete the experience.

Summary: Background briefs on unfamiliar topics were a tedious process. Now, with a single prompt, I get a well-researched summary with key takeaways. use AI's research feature is the starting point for all my new project briefs.

Positive: The deep research feature aggregates information from various sources and provides a structured summary with references. The generated text is much more suitable for reading and working with than a chatbot response. It is directly useful.

Negative: Source links provided include paywalled sources, which makes the references not very useful. Marking open-source sources would be incredibly valuable.

Summary: This simplicity in the design keeps the focus where it belongs. No clutter. No feature overwhelm. Just a clean workspace that does what it's supposed to do. The simplicity is what keeps bringing users back after weeks of use.

Positive: Everything lives in one clean workspace with no sidebars cluttered with upsells or distracting features. The focus remains on the chat and the tools. Model switching, file uploads, and history are all accessible but not in the way.

Negative: Chat threads cannot be put into folders or tags. When the history starts to accumulate, the only way to find a specific conversation from the past is to scroll through the unsorted list.

Summary: I needed to create some quick concept images for a pitch deck, and the image generation tool was able to help me without the need for a separate tool. It was great for internal presentations.

Positive: The image generation feature was able to create clean images from the detailed prompts on the first try. I used it to create product mockup images and abstract images, and they both turned out great.

Negative: Generated images don't come with metadata or prompt history attached. Being able to revisit exactly what prompt produced a specific image would make iteration much smoother.

Summary: writing posts for social media and newsletters takes me half the time now. the writing tools help clean up a rough draft in no time, and changing models for a second pass helps mix things up without having to start from scratch. real time-saver across the board.

Positive: the improve writing feature has caught awkward phrasing and offered alternatives without sacrificing voice and tone. i've tested it on blog posts, internal memos, and even a cover letter, and each result came back much tighter.

Negative: the rewrite suggestions sometimes take a tone a bit too formal, and a style preference setting would be nice to keep them in line with the original voice.

Summary: Used quarterly sales data to get quick turnaround analysis. Using gemini and GPT-4 back to back on the same set of data found patterns that one of the models had completely missed. This is now part of the quarterly reporting process.

Positive: Uploaded a spreadsheet and used two different models to analyze the same set of data. One model had found different insights than the other. Analyzing both models side-by-side made it obvious that one of the models was better at handling the numbers.

Negative: Larger file uploads will timeout without an error message. A file size indicator would have saved some time on wasted uploads.

Summary: Talking with international suppliers used to require using a translator and then fixing the output. Now it all happens in one chat, the text looks natural, and the responses are fast enough to use in a chat.

Positive: Tested translations in French, Portuguese, and Korean and the outputs read like they were written by a native speaker. The 30+ language support is not just a feature checkbox here, the quality actually holds up under real use.

Negative: There's no auto-detect for the input language. Having to specify the language of the text before translation is an unnecessary step that could easily be done automatically.

Summary: The contract language analysis for potential conflicts requires a level of complex logic. The reasoning model walked through each step methodically, identifying two areas of potential conflict that can be easily overlooked.

Positive: Advanced reasoning models can handle complex multi-step questions without breaking down. I tried a logic-heavy question that stumped other models, and the output here was well-structured, accurate, and reflected the reasoning chain well.

Negative: Reasoning-heavy responses take noticeably longer to generate than regular responses. An estimate of the loading time or a progress bar would be helpful during the extended wait times.