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Google Gemini

Score8.6 out of 10

111 Reviews and Ratings

What is Google Gemini?

Google Gemini is a natively multimodal agentic platform designed to synthesize and act upon data across text, image, audio, and video modalities. It serves as a centralized intelligence layer that integrates across the Google Workspace ecosystem and Android/ChromeOS platforms to perform autonomous, multi-step tasks.

Gemini everything

Use Cases and Deployment Scope

As a non native English speaker, I use Gemini on a daily basis, I use it to review my communication with customers to ensure grammar and relevance, I use it to rephrase communication with customers to make sure our responses remain relevant but also don't tire our customers with the same responses over and over, I also use it to guide my communication with leadership and I even bounce the an idea on it to help me ground it, as often I think of improvements we could have on our tooling but I ask Gemini to scope it and check for availability before running it with the Eng team.

Pros

  • rephrasing comms
  • interpreting results
  • correcting SQL queries
  • coaching on ideas

Cons

  • I would like it to put together similar topics of questions I've asked so it can learn them separatedly

Return on Investment

  • It has allowed me to reduce time of response by 30%
  • It's reduced the time I take to create a correct query

Usability

Alternatives Considered

ChatGPT, Anthropic Claude and xAI Grok

Other Software Used

ChatGPT, Google Drive, Looker

Gemini is Great for Schools

Use Cases and Deployment Scope

I work at a school and Gemini is used extensively to various different purposes. As we have Google Workspace accounts, data used in the model is not used for further training so we are able to provide it with data that we would not be able to with a public version. We use Gemini for data analysis, lesson planning, student assessment and more.

Pros

  • Quick data analysis
  • Transcription of handwriting or audio
  • Feature finding

Cons

  • Speed of processing (on pro model)
  • Accuracy of answers (on flash model)
  • Veo 3 should be able to use picture prompts when creating videos (without errors)

Return on Investment

  • Saves administrators time on data analysis
  • Saves teacher time on lesson planning and assessment
  • Allows for bespoke per student feedback

Usability

Alternatives Considered

ChatGPT, xAI Grok and Microsoft 365 Copilot

A Solid Tool and Everyday Workhorse

Use Cases and Deployment Scope

Gemini is used as our backup ai by most team members, after Claude, GPT. Gemini is great for quick computing tasks and quick answers that we need when we don't want to waste our limited usage with other ai tools. We usually have less conversational interactions and more straight problem solving.

Pros

  • Spreadsheet formulas and modifications of csv files
  • schema markup
  • javascript code
  • meta titles and descriptions for web pages

Cons

  • Gemini could use improvement feeling more conversational and warm.
  • I don't like being asked in an A/B test for Gemini to compare two different responses.
  • Gemini needs more personality

Return on Investment

  • It's sped up some workflows
  • It's provided not accurate information sometimes
  • It's a great tool when used in the GSuite with sheets and other drive functions

Usability

Alternatives Considered

Anthropic Claude and ChatGPT

Other Software Used

Anthropic Claude, ChatGPT, Midjourney

Google Gemini Personal or Professional It Gets the Job Done and well.

Use Cases and Deployment Scope

I use it for predominantly content creation, copywriting, and for general brainstorming. As a team of one, it can be hard to come up with all your own ideas - which is where Gemini comes in for me. It makes me feel slightly less lonely and helps me bounce ideas with myself.

Pros

  • Planning
  • Prompting and remembering conversations
  • Explaining itself
  • Ease of use
  • Excellent free plan

Cons

  • Image generation can be buggy
  • Video creation is locked behind logging in

Return on Investment

  • Free way to gain another team member
  • Helps me be more efficient and overcome blocks in my workflow
  • Speeds up my ability to update our website's calendar by easily double if not more
  • Allows me to dabble in areas that I have no expertise in such as coding

Usability

Alternatives Considered

Hootsuite, ChatGPT and Perplexity

Other Software Used

Canva, Notion

Redefining productivity with Google's next-level deep research capabilities

Use Cases and Deployment Scope

I use Google Gemini for its three robust capabilities namely, Deep research, Guided Learning and 2.5 flash Chatbot for general business research.

As far as scope is concerned, I use the tool for building my first draft of a research projects through its Deep Research capabilities, use its Canvas feature to build structural research and newsletters documents, and use its guided learning feature to ask building automation framework related queries on tools like MS Power Automate or n8n etc for solving automation problem. Additionally, I use its general purpose chatbot 2.5 flash to understand industry terminologies while working on various industry research projects.

Regarding business problems, Gemini helps me speed-up my consulting reports (research work, error free pre-made reports) and dashboard building work and reduce the turnaround time to nearly half leading more time for me to work on strategic advisory to clients.

Pros

  • Deep research for getting first business research draft from Gemini, post which i use series of prompts to improve it and use my understanding to refine it further
  • Canvas to produce structured business topic research and newsletter. Direct edits to the sections and making client ready reports
  • Learning mode to get help on step by step automation of AI workflows

Cons

  • Gemini can add detailed siltation of sources for each of the information generated by its 2.6 model. This helps user to dont go for fact check gain. Its another product called NotebookLM holds this capability.
  • Sometime it hallucinates, and often produces generic output unless robust prompts are presented. Not everyone knows advance prompting. Hence this can be improved
  • Addition of MCP connecters, like its peers ChatGPT, Claude etc can help Gemini to gain users
  • Code generation capabilities can be improved as currently it is at basic levels

Return on Investment

  • It has fasten up the research projects by providing quick, easy and digestible insights on research projects, broadening my understanding of the business to cater clients better
  • Its deep research, allowed me to deliver comprehensive insights backed projects to clients quickly. With the help of Gemini deep research, my turnaround time reduced by 50% and productivity got doubled.

Usability

Alternatives Considered

Perplexity and Anthropic Claude

Other Software Used

Replit, Perplexity, Anthropic Claude, ChatGPT