How AI Can Save You Time Every Day: 15 Practical Ways to Work Smarter in 2026
Time is the one resource you can never buy back. You can earn more money, build a new relationship, or start a new project, but you can’t get yesterday afternoon returned to you. That’s exactly why “how to save time” has become one of the most searched phrases of the decade — and why AI productivity tools have moved from a novelty to something most professionals now rely on daily.
A few years ago, using AI at work meant occasionally asking a chatbot to summarize an article. In 2026, it looks completely different. AI now drafts your emails, preps your meeting notes, organizes your schedule, writes your first draft of a report, and even helps you plan a two-week trip to Portugal without you opening fifteen browser tabs.
The shift isn’t about AI replacing your judgment. It’s about AI removing the repetitive, low-value work that eats hours out of your week — so you can spend your energy on the parts of your job (or your life) that actually need a human brain.
This guide walks through exactly how that works. You’ll get 15 practical, real-world ways AI can save you time every day, the best tools for each task, common mistakes to avoid, and a straightforward look at which AI assistant is worth using for what. Whether you’re a student, a freelancer, a manager, or someone who just wants their inbox under control, there’s something here you can start using today.
What Is AI Productivity?
AI productivity simply means using artificial intelligence tools to complete tasks faster, with less manual effort, while keeping (or improving) the quality of the result.
It’s not one single thing. It covers a wide range of everyday actions:
- Writing and editing text (emails, reports, social posts)
- Organizing information (notes, meeting summaries, research)
- Automating repetitive digital tasks (scheduling, formatting, data entry)
- Generating creative assets (images, presentation slides, design templates)
- Assisting with technical work (coding, debugging, data analysis)
The common thread is that AI acts like a fast, tireless assistant sitting next to you. It doesn’t get bored writing your tenth follow-up email of the day, and it doesn’t need a coffee break before summarizing a 40-page PDF.
Think of AI productivity less like “a robot doing your job” and more like “a very capable intern who never sleeps, never complains, and gets faster every month.”
Why AI Saves So Much Time
To understand why AI has such a big impact on your day, it helps to look at what kind of work actually eats your time.
Most jobs and most personal admin are made up of two categories of tasks:
- Deep, creative, judgment-based work. Strategy, decision-making, relationship-building, complex problem solving.
- Repetitive, structured, low-judgment work. Formatting a document, summarizing a call, rewriting the same email for the fifth client, searching for flight prices, organizing notes.
The second category is where most hours quietly disappear. It doesn’t require deep thought, but it still takes real time because a human has to read, type, click, and repeat.
AI is exceptionally good at exactly this kind of task, for a simple reason: large language models are trained to recognize patterns in language and information, then generate a structured, relevant response almost instantly. Where a human might take 20 minutes to write a polished email, an AI model can produce a strong first draft in seconds — because it’s not “thinking” the way a person does, it’s pattern-matching against enormous amounts of language and structure it has learned from.
The result is a kind of division of labor: AI handles the repetitive, structured first pass, and you handle the judgment, the final edit, and the decision-making. You’re not removed from the process — you’re just no longer starting from a blank page or an empty spreadsheet.
That’s the core reason AI productivity tools save so much time: they eliminate the “blank page problem” and the “repetition tax” that quietly drain hours from every week.
15 Ways AI Can Save You Time Every Day
1. Writing Emails Faster
Explanation
Email is one of the biggest time drains in modern work. Studies aside, most people intuitively know they spend a huge chunk of their day just typing, rephrasing, and formatting messages. AI writing assistants can draft a full email from a short instruction, match your tone, and adjust length in seconds.
Real Example
Instead of spending 15 minutes crafting a polite but firm email to a client about a missed payment, you type: “Write a professional but friendly email reminding a client their invoice is 10 days overdue.” You get a solid draft in under 10 seconds, then tweak two sentences to match your voice.
Benefits
- Cuts email writing time by more than half in most cases
- Removes the “stare at blank screen” delay
- Helps non-native English speakers write more naturally
- Keeps tone consistent across dozens of messages
Recommended AI Tools
- ChatGPT
- Claude
- Microsoft Copilot (especially inside Outlook)
- Grammarly
Tips
- Give the AI context: who the recipient is, the tone you want, and the outcome you’re after.
- Ask for 2–3 versions (formal, casual, short) and pick the best fit.
- Always personalize the opening line — generic greetings are the easiest way to make an email feel robotic.
Common Mistakes
- Sending the AI draft without reading it fully
- Not specifying tone, which leads to overly stiff or overly casual results
- Using the exact same phrasing repeatedly across different recipients, which can feel impersonal
2. Doing Research in Minutes, Not Hours
Explanation
Traditional research means opening ten browser tabs, skimming articles, and manually piecing together an answer. AI-powered research tools can pull relevant information, summarize it, and even cite sources — dramatically compressing the time it takes to get up to speed on a topic.
Real Example
A marketing manager needs a quick competitive overview of three companies before a client call. Instead of an hour of manual browsing, they ask Perplexity to summarize each company’s recent product launches and positioning, with sources attached for verification.
Benefits
- Cuts research time from hours to minutes
- Provides source links so you can verify claims
- Great for early-stage research before deep-diving manually
Recommended AI Tools
- Perplexity
- ChatGPT (with web browsing enabled)
- Claude
- Gemini
Tips
- Always ask for sources and click through to verify anything important.
- Use follow-up questions to narrow down broad topics.
- Treat AI research as a starting point, not the final word — especially for anything factual or numerical.
Common Mistakes
- Trusting AI-generated statistics without checking the source
- Using research tools for topics that need highly current, minute-by-minute data without verifying freshness
- Not cross-checking claims that will appear in a public-facing document
3. Studying and Exam Prep
Explanation
AI can turn dense textbook chapters into digestible summaries, generate practice questions, and explain difficult concepts in simpler terms — acting like a patient tutor available at 2 a.m. before an exam.
Real Example
A nursing student uploads a chapter on pharmacology and asks the AI to explain drug interaction mechanisms in plain language, then generate ten practice quiz questions based on the material.
Benefits
- Speeds up review of large amounts of material
- Adapts explanations to your level of understanding
- Creates practice questions instantly, without needing a study guide
Recommended AI Tools
- ChatGPT
- Claude
- Gemini
- Notion AI (for organizing study notes)
Tips
- Ask the AI to “explain it like I’m new to this topic,” then ask it to go deeper once you’ve grasped the basics.
- Use AI to generate flashcard-style questions from your own notes.
- Combine AI summaries with your own notes rather than replacing your own understanding entirely.
Common Mistakes
- Relying only on AI summaries without engaging with the original material
- Not double-checking AI explanations of highly technical or medical topics against a trusted textbook
- Using AI to write entire assignments, which raises academic integrity concerns at most institutions
4. Summarizing Meetings Automatically
Explanation
Meeting summary tools transcribe conversations in real time and generate structured notes, action items, and decisions — so you don’t have to split your attention between listening and typing.
Real Example
A project manager runs a 45-minute client call. Instead of manually writing notes afterward, an AI meeting assistant produces a summary with key decisions, owners, and deadlines within a minute of the call ending.
Benefits
- Frees you to actually participate in the conversation instead of transcribing it
- Creates a searchable record of past meetings
- Reduces “what did we agree on again?” follow-up messages
Recommended AI Tools
- Microsoft Copilot (in Teams)
- Notion AI
- Gemini (in Google Meet)
Tips
- Always inform participants that the meeting is being recorded or summarized, for transparency and in many cases legal compliance.
- Review the AI summary for accuracy before sharing it widely — names and numbers are the most common error points.
- Ask the AI to specifically extract action items with owners and deadlines, not just a general summary.
Common Mistakes
- Not checking recording/consent laws in your region or industry before using automatic transcription
- Sharing an unedited summary that misattributes a decision to the wrong person
- Treating the AI summary as a replacement for taking your own key notes during high-stakes discussions
5. Smarter Note-Taking
Explanation
AI-powered note apps don’t just store text — they organize it, tag it, and let you ask questions about your own notes later, turning a messy pile of notes into a searchable knowledge base.
Real Example
A consultant keeps notes from dozens of client calls in Notion. Instead of scrolling back through months of pages, they ask the AI: “What did the client say about their budget concerns in March?” and get a direct answer pulled from old notes.
Benefits
- Turns scattered notes into a searchable resource
- Saves time hunting for information you already wrote down
- Helps identify patterns across multiple notes or projects
Recommended AI Tools
- Notion AI
- Microsoft Copilot (OneNote)
- ChatGPT (for organizing pasted notes)
Tips
- Keep a consistent structure (tags, dates, project names) so AI search works more accurately.
- Periodically ask the AI to summarize a month’s worth of notes into key themes.
- Use voice-to-text plus AI cleanup for fast note capture during calls or lectures.
Common Mistakes
- Dumping unstructured notes without any tags or context, making AI retrieval less accurate
- Not backing up notes stored primarily in one AI-powered app
- Overloading notes with AI-generated filler instead of your own key observations
6. Coding and Debugging Faster
Explanation
AI coding assistants can write boilerplate code, explain error messages, suggest fixes, and even refactor entire functions — turning tasks that used to take an hour of searching Stack Overflow into a two-minute exchange.
Real Example
A developer hits a confusing error while working with an API integration. Instead of searching forums, they paste the error into Cursor or Claude, get an explanation of what’s causing it, and receive a corrected code snippet.
Benefits
- Speeds up debugging significantly
- Helps developers learn new languages or frameworks faster
- Reduces time spent writing repetitive boilerplate code
Recommended AI Tools
- Cursor
- Claude
- ChatGPT
- Microsoft Copilot (GitHub Copilot)
Tips
- Always test AI-generated code before deploying it — treat it like code from a junior developer, not a senior one.
- Ask the AI to explain its reasoning, not just give you the final code, so you actually learn from it.
- Use AI for repetitive scaffolding (tests, boilerplate, documentation) and keep core logic decisions in your own hands.
Common Mistakes
- Pasting AI-generated code directly into production without review
- Sharing proprietary or sensitive code with tools that don’t meet your company’s data policies
- Assuming AI-suggested fixes address the root cause rather than just the symptom
7. Creating Presentations in Minutes
Explanation
AI presentation tools can turn a rough outline or a document into a formatted slide deck, complete with suggested layouts, images, and talking points — removing hours of manual formatting.
Real Example
A sales rep needs a pitch deck for a client meeting tomorrow morning. They paste their key points into Canva AI or Copilot, and get a formatted, on-brand deck ready to fine-tune instead of build from scratch.
Benefits
- Cuts deck-building time from hours to minutes
- Produces consistent, professional-looking design without a design background
- Frees you to focus on the message instead of the formatting
Recommended AI Tools
- Canva AI
- Microsoft Copilot (PowerPoint)
- Gemini (Google Slides)
Tips
- Start with a clear outline of your key points before letting AI design around it — better input means a better deck.
- Keep slide text minimal; ask the AI to summarize your points into short, punchy bullets.
- Replace generic AI-suggested images with real data visuals when presenting to a technical audience.
Common Mistakes
- Letting AI-generated design choices override your brand guidelines
- Overcrowding slides because AI filled in “extra” content you didn’t need
- Not rehearsing the talking points because the deck came together too easily
8. Budgeting and Expense Tracking
Explanation
AI tools integrated into finance apps can categorize spending, flag unusual transactions, and summarize where your money is going — without you manually sorting receipts or spreadsheet rows.
Real Example
A freelancer uses an AI-powered spreadsheet assistant to automatically categorize a month’s worth of expenses pasted from a bank statement, instantly seeing how much went to software subscriptions versus client-related travel.
Benefits
- Removes manual categorization of transactions
- Highlights spending patterns you might otherwise miss
- Speeds up tax preparation and expense reporting
Recommended AI Tools
- ChatGPT (for spreadsheet formulas and categorization logic)
- Microsoft Copilot (in Excel)
- Notion AI (for budget tracking templates)
Tips
- Never paste sensitive financial account numbers into a general-purpose AI chat — use tools designed for financial data handling.
- Ask AI to build you a reusable budgeting template rather than doing one-off calculations each month.
- Cross-check AI-categorized expenses periodically, especially around tax season.
Common Mistakes
- Sharing full bank statements with sensitive account details in an unsecured chat
- Trusting AI-generated categorization without spot-checking a sample
- Using AI budgeting tips as financial advice — always consult a licensed professional for real financial decisions
9. Planning Trips Without the Tab Overload
Explanation
Trip planning traditionally means dozens of open tabs comparing flights, hotels, and itineraries. AI can pull together a draft itinerary, suggest logical routes, and adjust plans instantly based on your preferences.
Real Example
Someone planning a 10-day trip to Japan asks an AI assistant to draft a day-by-day itinerary based on their interest in food and history, balancing travel time between cities. They then verify prices and book directly with airlines and hotels.
Benefits
- Cuts hours of manual itinerary building down to minutes
- Easily adjusts plans on the fly (“make day 3 less packed”)
- Helps balance logistics like travel time between destinations
Recommended AI Tools
- ChatGPT
- Gemini
- Perplexity (for up-to-date travel information with sources)
Tips
- Always verify prices, visa requirements, and opening hours directly with official sources before booking.
- Ask the AI for a rough itinerary first, then refine based on your energy levels and travel pace preferences.
- Use AI for the planning skeleton, but book travel directly through airlines, hotels, or trusted platforms.
Common Mistakes
- Booking flights or hotels based solely on AI suggestions without verifying current prices and availability
- Overpacking the itinerary because AI generated “efficient” but unrealistic schedules
- Not checking visa, passport, or entry requirements independently
10. Scheduling and Calendar Management
Explanation
AI scheduling assistants can suggest meeting times, resolve calendar conflicts, and even draft polite messages to reschedule — reducing the endless back-and-forth of “does Tuesday at 2 work for you?”
Real Example
An executive assistant uses Microsoft Copilot to scan a manager’s calendar and automatically suggest three open time slots for a new client call, then drafts the scheduling email.
Benefits
- Reduces scheduling back-and-forth emails
- Helps avoid double-bookings and conflicts
- Saves time on recurring calendar admin
Recommended AI Tools
- Microsoft Copilot (Outlook/Teams)
- Notion AI (for personal planning)
- Google Gemini (Google Calendar)
Tips
- Set clear working hours and preferences so AI scheduling suggestions respect your boundaries.
- Use AI to batch similar meetings together, reducing context-switching throughout your day.
- Review AI-suggested times against time zones when scheduling internationally.
Common Mistakes
- Letting AI auto-schedule without a final human review, leading to awkward back-to-back bookings
- Ignoring time zone differences when scheduling across countries
- Not blocking personal or focus time, so AI fills every open slot with meetings
11. Writing Reports and Documents
Explanation
AI can turn bullet points, data, or rough notes into a structured, well-written report — handling the formatting and first-draft writing so you can focus on the analysis and conclusions.
Real Example
An operations manager has a page of raw notes and data points from a quarterly review. They ask Claude to turn it into a structured report with an executive summary, key findings, and recommendations section.
Benefits
- Speeds up first-draft creation significantly
- Ensures consistent structure and formatting
- Frees up time for analysis instead of formatting
Recommended AI Tools
- Claude
- ChatGPT
- Microsoft Copilot (Word)
Tips
- Feed the AI your raw data and bullet points rather than asking it to invent content from scratch.
- Ask for a specific structure (executive summary, findings, recommendations) to match your organization’s format.
- Always fact-check any figures or claims in the final report before distribution.
Common Mistakes
- Letting AI generate statistics or claims that aren’t backed by your actual data
- Skipping the review step on reports that will be shared externally or with leadership
- Using an overly generic AI tone that doesn’t match your organization’s voice
12. Generating Images and Visuals
Explanation
AI image generation tools can create custom graphics, illustrations, and marketing visuals in seconds — removing the need for stock photo searches or hiring a designer for every small visual asset.
Real Example
A small business owner needs a header image for a blog post about sustainable packaging. Instead of searching stock photo sites for something that fits, they generate a custom illustration matching their brand colors in Canva AI.
Benefits
- Removes the limitations of generic stock photography
- Speeds up content production for blogs, social media, and marketing
- Allows quick iteration on visual concepts
Recommended AI Tools
- Canva AI
- ChatGPT (image generation)
- Gemini
Tips
- Be specific in your prompts: describe style, color palette, mood, and composition.
- Generate a few variations and pick the strongest rather than settling for the first result.
- Check platform-specific licensing terms before using AI-generated images commercially.
Common Mistakes
- Using AI-generated images that closely resemble copyrighted characters or real people
- Not checking licensing terms before commercial use
- Over-relying on AI visuals for contexts where authentic photography matters more (like team or product photos)
13. Managing Social Media Faster
Explanation
AI can draft social media captions, suggest posting schedules, and repurpose one piece of content into multiple formats — cutting down the time it takes to keep a consistent online presence.
Real Example
A content creator writes one long-form blog post, then asks ChatGPT to turn it into five short social media captions tailored to different platforms, each with a distinct tone.
Benefits
- Speeds up content repurposing across platforms
- Helps maintain a consistent posting schedule
- Reduces the mental effort of caption writing for every single post
Recommended AI Tools
- ChatGPT
- Canva AI
- Notion AI (for content calendars)
Tips
- Ask AI to adapt tone per platform — what works on LinkedIn rarely works as-is on Instagram.
- Keep a content calendar so AI-generated posts stay aligned with your actual campaigns and launches.
- Add your own voice and personal anecdotes to AI drafts so posts don’t feel generic.
Common Mistakes
- Posting AI-generated content without any personal edits, which can feel impersonal to your audience
- Using identical captions across platforms without adjusting tone or format
- Ignoring platform-specific best practices (hashtags, length, format) that AI might not know are current
14. Brainstorming Ideas on Demand
Explanation
AI is an excellent brainstorming partner because it can generate a wide range of ideas instantly, without the social friction of “bad idea” judgment — helping you get past creative blocks faster.
Real Example
A marketing team is stuck on a campaign name. Instead of a 30-minute meeting, one person asks Claude for 20 name options based on the campaign’s theme, then the team picks and refines their favorites in five minutes.
Benefits
- Breaks through creative blocks quickly
- Generates a wide range of options to choose from
- Useful for naming, campaign concepts, content ideas, and problem-solving
Recommended AI Tools
- ChatGPT
- Claude
- Gemini
Tips
- Ask for a large quantity of ideas first (quantity over quality), then narrow down.
- Give the AI constraints (audience, tone, length) to get more relevant suggestions.
- Use AI brainstorms as a starting point for a human discussion, not the final decision.
Common Mistakes
- Treating the first AI suggestion as the final answer instead of iterating
- Not giving enough context, leading to generic or off-brand ideas
- Skipping human review on ideas meant for public-facing campaigns
15. Learning New Skills Faster
Explanation
AI can act as a personalized tutor, breaking down complex skills into manageable steps, answering follow-up questions instantly, and adjusting explanations to your current skill level — something a static course or book can’t do.
Real Example
Someone learning basic data analysis asks ChatGPT to explain pivot tables using their own messy spreadsheet as an example, rather than a generic tutorial that doesn’t match their actual data.
Benefits
- Provides instant, personalized explanations
- Adjusts difficulty based on your responses
- Available anytime, without needing to book a tutor session
Recommended AI Tools
- ChatGPT
- Claude
- Gemini
- Perplexity (for sourced background reading)
Tips
- Ask the AI to quiz you after an explanation to reinforce learning.
- Use your own real-world examples or data when learning a new skill, not generic textbook examples.
- Ask “why” repeatedly to get past surface-level explanations into deeper understanding.
Common Mistakes
- Passively reading AI explanations without practicing the skill yourself
- Not verifying technical or safety-critical information against authoritative sources
- Jumping straight to advanced topics without confirming the fundamentals are solid
Best AI Tools in 2026
Here’s a practical breakdown of the major AI tools mentioned throughout this guide, and what each one is genuinely best at.
ChatGPT
Best for general-purpose writing, brainstorming, coding help, and everyday Q&A. Its strength is versatility — it’s a strong all-rounder for almost every task on this list. Visit OpenAI
Claude
Best for long, nuanced writing tasks, detailed reports, coding support, and situations where you need careful, well-reasoned responses. Popular among professionals for document-heavy work. Visit Anthropic
Gemini
Best for users deep in the Google ecosystem — Gmail, Docs, Calendar, and Slides — since it integrates directly into those tools. Visit Gemini
Perplexity
Best for research tasks where you need sourced, verifiable answers rather than a plain generated response. Its citation-first approach makes it ideal for fact-checking. Visit Perplexity
Notion AI
Best for organizing notes, project docs, and knowledge bases, with AI search and summarization built directly into your workspace. Visit Notion
Grammarly
Best for polishing writing — grammar, tone, and clarity checks across emails, documents, and social posts. Visit Grammarly
Canva AI
Best for fast, on-brand visual design: presentations, social graphics, and marketing assets without needing design skills. Visit Canva
Cursor
Best for developers who want an AI-native coding environment, with deep code understanding and inline suggestions built for real software projects. Visit Cursor
Microsoft Copilot
Best for professionals living inside Microsoft 365 — Outlook, Word, Excel, Teams, and PowerPoint — since it’s woven directly into those apps. Visit Microsoft Copilot
Tips to Use AI Effectively
- Be specific in your prompts. Vague requests get vague answers. Include context, tone, audience, and desired length.
- Iterate rather than settle. Treat the first response as a draft, not the final answer — ask follow-up questions to refine it.
- Keep a “prompt library.” Save prompts that worked well so you’re not rewriting instructions from scratch every time.
- Match the tool to the task. Use research tools for research, coding tools for coding — don’t force one tool to do everything.
- Always verify before publishing. Especially for facts, statistics, and anything client-facing.
- Protect sensitive data. Never paste passwords, financial account numbers, or confidential business data into general AI chat tools.
- Build AI into your routine gradually. Start with one or two tasks (like email or meeting notes) before expanding to everything on this list.
Common Mistakes People Make
- Blindly trusting AI output. AI can sound confident while being wrong — always verify facts, numbers, and quotes.
- Using AI as a total replacement for judgment. AI is a drafting and research assistant, not a decision-maker.
- Ignoring data privacy. Sharing sensitive personal, financial, or company data with general AI tools without checking their data policies.
- Not customizing AI output. Publishing generic AI drafts without adding your own voice or context makes content feel impersonal.
- Skipping the learning curve. Expecting perfect results on the first prompt instead of learning how to write better instructions over time.
- Overusing AI for creative or relationship-based work. Some tasks — like sensitive conversations or original creative direction — still benefit from a human-first approach.
Frequently Asked Questions
1. Is AI actually reliable for saving time, or is it overhyped? AI is genuinely effective for repetitive, structured tasks like drafting emails, summarizing meetings, and organizing notes. It’s less reliable for tasks requiring deep judgment or highly current, precise facts, which is why human review remains important.
2. What is the best AI tool for beginners? ChatGPT and Claude are both excellent starting points because of their simple chat interface and broad range of capabilities, from writing to research to brainstorming.
3. Can AI completely replace human employees? No. AI is best understood as a tool that handles repetitive and structured work, freeing humans to focus on strategy, relationships, and judgment-based decisions that AI can’t replicate.
4. Is it safe to share personal information with AI tools? You should avoid sharing sensitive data like passwords, financial account numbers, or confidential business information with general-purpose AI chat tools unless the platform is specifically designed and certified for that data type.
5. Which AI tool is best for research? Perplexity is particularly strong for research because it provides sourced, citation-backed answers, making it easier to verify information.
6. Can AI help students study without violating academic integrity rules? Yes, when used to explain concepts, summarize material, or generate practice questions. It becomes a problem when AI is used to complete graded assignments directly — always check your institution’s specific AI policy.
7. What’s the difference between ChatGPT, Claude, and Gemini? ChatGPT is a strong all-around assistant, Claude is known for careful, detailed writing and reasoning, and Gemini integrates deeply with Google’s ecosystem of apps like Gmail and Docs.
8. Do I need to pay for AI tools to save time? Many tools offer free tiers that are useful for everyday tasks like email drafting or basic research. Paid tiers typically unlock higher usage limits, advanced features, and priority access.
9. How do I get better results from AI tools? Give clear context: who the output is for, the tone you want, the format, and any constraints. Treat your first prompt as a starting point and refine it with follow-up instructions.
10. Will using AI make my writing sound robotic? It can, if you publish AI drafts unedited. The fix is simple: always add your own voice, specific details, and personal examples before publishing anything AI helps you draft.
Conclusion
AI isn’t magic, and it isn’t going to run your life for you. What it does offer is a genuine, practical way to reclaim hours of your week — the hours currently lost to repetitive writing, manual research, formatting, and admin work that doesn’t actually need your full attention.
The 15 methods in this guide aren’t theoretical. They’re things people are doing right now, today, to get through their inbox faster, prep for meetings without dread, and finally stop losing evenings to reports that should have taken 20 minutes.
You don’t need to overhaul your entire workflow overnight. Pick one task from this list — maybe it’s meeting summaries, maybe it’s email drafts — and try it for a week. Once you feel that time coming back, it’s hard to go back to doing everything the old way.
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