In daily work, we often face these pain points: staring at a blank screen for hours struggling to write a single paragraph, running out of inspiration for design images, or being overwhelmed by piles of data without knowing how to extract key insights. Fortunately, a comprehensive AI tool can solve all these problems at once. Today, I’ll share a set of proven practical tips, paired with detailed operation steps and real cases, to help you maximize the utility of AI.

 

I. Double Writing Efficiency: A Full-Cycle Guide from Outline to Final Draft

(1) Build a Precise Framework to Overcome "Writer’s Block"

 

Most writing struggles stem from unclear logical frameworks. It’s recommended to first define your "core topic + 3 key arguments + target audience + style requirements" before using an AI tool to generate a structured outline, avoiding loose logic.

Step-by-Step Operation:

Case Demonstration: To write an article on "Efficient Time Management in the Workplace", input the complete requirements: "Topic: Efficient Time Management in the Workplace; Key Arguments: Time Diagnosis Methods / Utilizing Fragmented Time / Avoiding Unnecessary Overtime; Audience: Workplace Newcomers; Style: Practical, Easy-to-Understand, with Specific Operational Steps".

The tool will automatically generate a detailed outline:

 

 

 

 

 

 

This saves 80% of the time compared to brainstorming alone and ensures a more coherent logic.

 

(2) Fill in Details + Optimize Copy for More Professional Content

 

Once the framework is ready, use the logic of "Scenario + Problem + Solution + Case" to describe your needs for each paragraph. The AI will quickly generate content that fits the context, avoiding emptiness.

Paragraph Generation Tip: Take the "Pomodoro Technique" paragraph as an example. Input precise requirements: "Scenario: Workplace newcomers are easily distracted by colleagues and have short focus spans; Problem: Slow task progress and high error rates; Solution: Specific operational steps for the Pomodoro Technique + anti-distraction tips; Case: A 25-minute Pomodoro plan suitable for the workplace". The generated content can be used directly:

"Workplace newcomers can try the 25-minute Pomodoro Technique to improve focus: ① Set a 25-minute focus period and clarify the core task (e.g., drafting a report); ② Turn off social media notifications during the focus period and keep only task-related files on your desktop. If interrupted by colleagues, politely say 'I’m handling an urgent task and will get back to you at [XX time]'; ③ Take a 5-minute break after 25 minutes—stand up, stretch, or drink water to avoid prolonged sitting; ④ After completing 4 Pomodoros, take a 15-20 minute long break. Personal testing shows that this method increases daily task completion efficiency by 40% and reduces error rates by 25%."

Advanced Copy Optimization: After drafting, when using AI for optimization, specify "tone requirements" and "optimization directions", and optionally add "industry attributes" and "data support requirements". Previously, when optimizing an e-commerce product promotion copy with genmi.ai, the original copy was "This product is pretty good, you can try it, and the price is not expensive". I input the optimization requirements: "Tone: Professional and persuasive; Optimization Directions: Add user test data, highlight core advantages, clarify applicable scenarios; Industry: Workplace Office Equipment; Data Requirement: Real and perceptible". The optimized copy became: "This office equipment has been tested by over 1,000 workplace users, runs without lag for 8 consecutive hours, and its core performance is 30% better than similar products. It adapts to various workplace scenarios such as remote work and multitasking. Get it now to enjoy the exclusive new user discount—excellent value for money, highly recommended." After launching, the click-through rate increased by 28% and the conversion rate improved significantly.

 

II. Image Generation Without Mistakes: Key Tips for Accurate Outputs

 

 

(1) Keyword "Breakdown Formula": The More Detailed the Description, the More Accurate the Result

 

The core of image generation is "letting AI understand your idea"—vague keywords will only lead to inconsistent outputs. Here’s a proven keyword formula tested over 100 times: Subject + Detailed Features + Material Texture + Scene Atmosphere + Lighting Effect + Style Requirement + Size Ratio.

 

Requirement Type	Wrong Keywords	Correct Keywords
Product Promotion Image	Coffee cup	White ceramic coffee cup (subject), minimalist black logo printed on the body (detailed feature), matte texture (material), placed on a wooden office desk (scene), decorated with green succulents in the background (atmosphere), side backlight + softbox fill light (lighting), ins style (style), 1080×1080 pixels (size)
Event Poster Image	Music festival poster	Summer outdoor music festival poster (subject), blue gradient background (detailed feature), abstract music note elements + neon lines (detailed feature), night light flickering effect (atmosphere), high saturation (lighting), trendy street style (style), 1920×1080 pixels (size)

 

Practical Case: To design a cover image for a blog article on "Workplace Efficiency Tools", input the keywords: "Workplace efficiency tools cover image, subject: combination of laptop + calendar + fountain pen, laptop screen displaying 'Efficient Work' text, light gray matte desktop background, warm yellow natural light shining from the left, soft shadows, minimalist business style, blog cover size 900×500 pixels". The generated image can be used directly without secondary modifications.

 

(2) Secondary Optimization Tips: Make Images Fit Actual Needs

 

If the generated image’s color tone or elements don’t meet expectations, there’s no need to regenerate it—directly add modification instructions using the formula: "Retain XX (subject/core element) + Modify XX to XX (color tone/element/lighting) + Add XX (detail/atmosphere) + Maintain XX (style/size)" for higher efficiency.

Case: The generated coffee cup image had a cool color tone and needed to match a warm brand style. The modification instruction was: "Retain the white ceramic coffee cup subject and logo, change the overall color tone from cool to warm yellow, replace the background succulents with a light brown kraft paper bag, add subtle desktop textures, maintain the ins style and 1080×1080 pixel size". The second-generation image fully met the requirements.

For e-commerce practitioners, this precise modification method can quickly produce promotional images that align with the brand style. Statistics show that after using this method, the image production cycle is shortened from an average of 2 days to 30 minutes, which is much more efficient than repeatedly communicating with designers.

 

III. Simplify Data Analysis: Quick Results for Beginners

 

 

(1) 3-Step Data Processing: Upload - Filter - Extract

 

Faced with massive data in Excel (such as sales data and user survey data), there’s no need for manual filtering and sorting. AI tools can automatically complete data cleaning and core extraction, making it easy for beginners to get started.

Step-by-Step Operation:

Case: Upload Q2 2024 sales data from an e-commerce platform (including 12 columns such as product name, sales region, sales volume, and order quantity), and input filtering and extraction requirements: "Filtering conditions: Q2 2024, East China, sales volume ≥ 50,000 yuan; Analysis dimensions: Split sales volume by product category, calculate year-on-year growth rate for each category; Output format: Data table + core conclusion text". In just 30 seconds, the results are available:

Core Conclusion: There are 18 products with sales volume ≥ 50,000 yuan in East China in Q2 2024. Among them, office equipment accounts for the highest proportion (42%) with a year-on-year growth of 35%; digital accessories rank second (31%) with a year-on-year growth of 28%; the proportion of other categories is less than 15%, and smart home products have a year-on-year decrease of 5%, which requires key attention.

 

(2) Data Visualization: Make Reports More Persuasive

 

After obtaining the analysis results, use AI to convert data into intuitive charts, making reports clearer and more persuasive. Here are 3 high-frequency practical charts for the workplace and their applicable scenarios:

 

Chart Type	Applicable Scenarios	Operation Tips
Bar Chart	Comparing data across different categories (e.g., sales volume comparison of various products)	Select "Grouped Bar Chart", set the X-axis as product category, Y-axis as sales volume, and add data labels to display specific values
Line Chart	Data trend changes (e.g., monthly sales volume trend)	Check the "Trend Line" function, set the X-axis as time dimension, Y-axis as data dimension, and optionally add year-on-year/sequential growth lines
Heat Map	Regional/time period distribution (e.g., order volume distribution across regions)	Select "Color Gradient" to classify by data size, set the X-axis as region and Y-axis as time period—darker colors represent higher data values

 

Remember to choose the chart style according to the usage scenario: use "minimalist business style" (mainly blue, gray, and white) for reports to leaders, and "vibrant colors" (appropriately adding bright color schemes) for internal sharing. Previously, when processing user survey data with genmi.ai, I uploaded an Excel file containing 500 user feedbacks and input visualization requirements: "Generate a user satisfaction distribution heat map (by age group × satisfaction level), a bar chart comparing satisfaction across dimensions, and a line chart of satisfaction trends; Style: Minimalist business; Add data source annotation". In just 5 minutes, a complete report including trend charts, proportion charts, and heat maps was generated—saving 3 hours compared to manual production in Excel, with more aesthetically pleasing charts.

 

IV. Advanced Universal Efficiency Principles

 

The core of these tips is "adapting AI to your needs rather than passively accepting AI outputs". By mastering the logic of demand description and the core functions of tools, you can make AI a truly effective assistant to improve work efficiency, helping you save more time to focus on core tasks.