Here are 5 powerful features you can’t afford to miss:
1. Studio UI
One source, endless outputs.
– Translate into different languages
– Generate audio summaries while you explore
– Create FAQs instantly
– Choose which sources to pull from
2. Featured Notebooks
Explore pre-built notebooks on trending topics.
– Read the original material
– Ask questions with citations
– Listen to Audio Overviews
– Visualize ideas with Mind Maps
Gemini feels like having 10 employees who never sleep.
I’ve used it to code apps, write content, handle research and build products automatically.
Here are 10 ways you can use it (that nobody talks about):
1. Teacher
“Act as a world-class teacher. Explain [TOPIC] in 3 levels: beginner, intermediate, expert. After each explanation, give me 2 practice questions and feedback guidelines for my answers.”
Learn anything 10x faster by leveling up step by step.
2. Copywriter
“Act as a direct-response copywriter. Write a persuasive [TYPE] using the AIDA framework. Emphasize benefits, urgency, and clarity. Target audience: [AUDIENCE]. Call to action: [CTA].”
I turned Claude into my personal finance assistant.
Now it takes care of my budgeting, investing, and planning my income in just minutes instead of hours.
Here are 10 prompts to make your money work for you ↓
1/ Personal Budget Planner
Prompt: You are a personal finance coach. Create a monthly budget plan for an individual earning [INSERT INCOME].
1. Allocate income to essentials, savings, discretionary. 2. Suggest a savings percentage. 3. Highlight areas to cut unnecessary expenses.
2/ Debt Repayment Advisor
Prompt:
You are a financial advisor specializing in debt management. Design a debt repayment plan for someone with [INSERT DEBT AMOUNT]. 1. Suggest repayment strategies: snowball vs avalanche. 2. Calculate monthly payments. 3. Recommend steps to avoid new debt.
Google shows that structured prompting consistently outperforms random phrasing.
Your wording can change output quality by orders of magnitude.
Chain-of-thought > One-shot answers:
Breaking tasks into steps (reasoning out loud) makes models way more accurate.
Don’t just ask for the final result → guide the model through the reasoning.