DEV Community: Daniel Automation

The AI Meeting Notes System: Never Take Notes Again

Daniel Automation — Sun, 26 Apr 2026 14:49:40 +0000

Originally published on Buy Me a Coffee

I used to be that person. Laptop open, frantically typing while everyone else talked.

Now? I close my laptop. Make eye contact. Actually listen.

My AI assistant handles the notes. I get a complete transcript + summary + action items within 5 minutes of the meeting ending.

Here's the exact system.

The Tools

Otter.ai or Fireflies.ai — transcription
ChatGPT — summarization and action item extraction
Notion — central meeting notes database
Make — automation glue

Total setup time: 45 minutes

Time saved per week: 4+ hours

The Make Scenario

Here's the automation flow:

Trigger: New Otter recording ready
    ↓
Action 1: HTTP request to OpenAI API
    POST https://api.openai.com/v1/chat/completions
    Body: {
        "model": "gpt-4",
        "messages": [{
            "role": "user",
            "content": "Summarize this meeting transcript and extract action items..."
        }]
    }
    ↓
Action 2: Create Notion page
    Database: Meeting Notes
    Properties: {
        "Name": "Meeting Title",
        "Date": "Today",
        "Summary": "AI output",
        "Action Items": "Extracted tasks"
    }
    ↓
Action 3: Create action items as separate tasks
    Database: Tasks
    Linked to parent meeting

The ChatGPT Prompt

const prompt = `
Transform this meeting transcript into structured notes:

1. SUMMARY (2-3 sentences)
2. ACTION ITEMS (bullet list with owner and deadline)
3. KEY INSIGHTS
4. FOLLOW-UPS

Transcript:
${transcriptText}
`;

The Results

Before: 4 hours/week on note-taking

After: 30 minutes/week reviewing summaries

Net time saved: 3.5 hours/week

Privacy Considerations

⚠️ Important: Not every meeting should be recorded.

Ask first if:

External clients are present
Sensitive topics discussed
Anyone expresses discomfort

My rule: Internal team meetings = auto-record. External meetings = ask first.

Tools & Pricing

Otter.ai:

Free: 300 min/month
Pro: $10/month for 1,200 min

Fireflies.ai:

Free: 800 min
Pro: $10/month unlimited

My setup: Otter Pro + Make Basic ($9/month) + Notion Free = $19/month

Your Action Plan

Sign up for Otter.ai free trial
Connect your calendar
Set up the Make automation
Let it join your next 3 meetings
Compare AI notes vs. manual notes

Want the complete Make scenario blueprint and Notion templates? Become a member for instant access.

What's your biggest meeting frustration? Drop it in the comments.

The Weekend Automation Setup: Build Your AI Assistant in 2 Hours

Daniel Automation — Sat, 25 Apr 2026 15:46:34 +0000

You don't need an engineering degree to automate your work. You need a Saturday afternoon and this guide.

I've built automations for solopreneurs, executives, and creators. The pattern is always the same: start simple, add complexity only when needed.

Here's exactly how to build your first AI-powered automation system in one weekend.

Saturday Morning: Audit & Plan (30 minutes)

Step 1: Find Your Time Drain

Write down everything you did yesterday that took more than 5 minutes:

Email responses
Social media posting
Data entry
Scheduling
Report generation
File organization

Circle anything you do at least 3 times per week. These are your automation candidates.

Step 2: Pick Your First Target

Choose ONE task based on:

Time spent (highest first)
Repetitiveness (daily beats weekly)
Simplicity (clear inputs and outputs)

Most people pick email triage, social scheduling, or data entry. All work well.

Saturday Afternoon: Build Your First Workflow (90 minutes)

The Stack:

Make (free tier, 1,000 operations/month) — visual workflow builder
ChatGPT — content generation and analysis
Notion — database and content storage

Example: Social Media Automation

Make Scenario Structure:

{
  "name": "Social Media Automation",
  "trigger": {
    "app": "notion",
    "event": "new_database_item",
    "database_id": "your-database-id"
  },
  "actions": [
    {
      "app": "http",
      "method": "POST",
      "url": "https://api.openai.com/v1/chat/completions",
      "headers": {
        "Authorization": "Bearer {{openai_api_key}}",
        "Content-Type": "application/json"
      },
      "body": {
        "model": "gpt-4",
        "messages": [
          {
            "role": "system",
            "content": "You are a social media expert. Write engaging posts."
          },
          {
            "role": "user",
            "content": "Write a post based on: {{notion.content}}. Keep under 280 chars. Include 2-3 hashtags."
          }
        ]
      }
    },
    {
      "app": "notion",
      "action": "update_page",
      "page_id": "{{notion.page_id}}",
      "properties": {
        "Generated Content": "{{openai.response}}",
        "Status": "Ready for Review"
      }
    }
  ]
}

Build Process:

Create Notion Database (15 min)
- Columns: Title, Content (bullet points), Platform, Status, Publish Date
- Status options: Idea → Writing → Scheduled → Published
Set Up Make Scenario (45 min)
- Use the visual builder to connect Notion → OpenAI → Notion
- Map your database fields
- Configure the ChatGPT prompt
Test & Refine (30 min)
- Add a test item to Notion
- Check if Make triggers
- Review AI output quality
- Adjust prompt if needed

Total hands-on time: 90 minutes

Time saved per week: 2-3 hours minimum

Saturday Evening: Add Intelligence (30 minutes)

Upgrade with Conditional Logic:

Instead of posting immediately, add a human checkpoint:

Notion (New Item) → OpenAI (Generate) → Notion (Update Status) → 
Manual Review → Notion (Approve) → Social Platform (Post)

Why this matters: AI drafts are good, but human judgment catches edge cases. This hybrid approach scales volume while maintaining quality.

Sunday: Expand Your System (60 minutes)

Add a Second Workflow:

Pick another task from your Saturday audit. Popular choices:

Email Triage:

# Pseudo-code for email categorization
if email.subject.contains("unsubscribe"):
    category = "Marketing"
elif email.sender in known_clients:
    category = "Client"
elif email.body.contains("invoice" or "payment"):
    category = "Financial"
else:
    category = "Needs Review"

Weekly Reports:

Pull data from analytics APIs → AI summarizes → Formats report → Emails to stakeholders

What You'll Have After This Weekend

✅ One working automation saving 2-3 hours/week
✅ Foundation to add more workflows
✅ Understanding of the build-test-refine cycle
✅ Template for future automations

Common Mistakes to Avoid

Trying to automate everything at once → Start with one workflow. Master it. Then expand.

Expecting perfection → Your first automation will have edge cases. That's normal. Fix them as they appear.

Building without testing → Test with real data before trusting it with production work.

Forgetting the human checkpoint → For important tasks, always include a review step.

The Math That Matters

Weekend investment: 3.5 hours
Weekly time saved: 2-3 hours
Break-even: 2-3 weeks
Annual time saved: 100-150 hours

That's 4-6 full work weeks reclaimed per year.

Your Action Plan for Monday

Do the 30-minute audit today
Block 2 hours this weekend
Build ONE workflow
Run it for a week
Iterate based on real usage

Originally posted on Buy Me a Coffee

What's your #1 time-consuming task? Drop it in the comments — I'll tell you if it's a good automation candidate.

The Morning Routine That Makes AI Work for You

Daniel Automation — Fri, 24 Apr 2026 17:44:55 +0000

Originally published on Buy Me a Coffee

I don't start my day with email anymore.

Here's my AI-powered morning routine that saves 90 minutes every single day.

The Old Morning (Chaos)

6:30 AM: Wake up
6:35 AM: Scroll email for 45 minutes
7:20 AM: Realize I'm late
7:25 AM: Rush through "important" tasks
8:30 AM: Already exhausted

Sound familiar?

The New Morning (Intentional + AI-Assisted)

6:30 AM — Wake Up (No Phone)

First 30 minutes: Zero screens. Just coffee, light stretching, and a 10-minute journal entry.

7:00 AM — The AI Daily Brief

My agent has been working overnight. It delivers a personalized briefing:

📊 Yesterday's Wins

Tasks completed: 12/15 (80%)
Emails sent: 8
Content published: 1 post

📅 Today's Calendar

3 meetings (auto-prep complete)
Focus block: 10 AM — 12 PM
Hard stop: 5 PM

🎯 Priority Tasks (AI-Ranked)

Finish Q2 automation roadmap (High impact)
Review community comments (Medium)
Create tomorrow's content (Scheduled)

📧 Email Summary

4 urgent (needs reply)
12 newsletters (skimmed)
3 automated responses sent

7:15 AM — One Big Thing

I pick ONE task from the AI priority list and block 90 minutes for deep work.

No email. No Slack. Just the one thing that moves the needle.

8:45 AM — Communications Block

Now I handle email and messages. But I'm not starting from zero — my agent has:

Drafted replies to common questions
Flagged emails needing personal touch
Summarized long threads
Unsubscribed from noise

Time saved: 45 minutes

How the AI Morning Brief Works

# Simplified workflow
Step 1: Query Todoist API for completions
Step 2: Query Google Calendar for events
Step 3: Query Gmail for patterns
Step 4: Prioritize with OpenAI
Step 5: Generate formatted brief
Step 6: Send to Notion + Email

The Tools (Mostly Free)

Make.com — Workflow automation ($9/mo)
Notion API — Daily brief storage (Free)
Todoist API — Task tracking (Free)
Gmail API — Email analysis (Free)
OpenAI API — Summarization (~$3/mo)

Total cost: ~$12/month

The Results (90 Days In)

Morning stress: Down 80%
Tasks completed: Up 40%
Decision fatigue: Way lower
Work-life balance: Actually exists now

Try This Tomorrow

Before building anything complex, start here:

No Phone for 30 Minutes — First 30 minutes = no screens
Manual Daily Brief — Write 3 must-do tasks
One Big Thing — Block 90 minutes for your most important task

Then automate it.

Full breakdown with templates on Buy Me a Coffee ☕

What's your morning routine? Drop your best tip below.

The "Reply Guy" Method: How I Generate Leads Without Creating New Content

Daniel Automation — Thu, 23 Apr 2026 14:50:31 +0000

Everyone says "create more content" to grow.

I found a better way.

I reply to other people's content. And it generates qualified leads every week.

Here's the exact system:

Why Replying Works Better Than Posting

Creating content:

Takes 2-4 hours per post
Algorithm lottery (might get 50 views, might get 50,000)
Competing with everyone
Build from zero every time

Replying strategically:

Takes 5-15 minutes per reply
Guaranteed visibility (in their thread)
Standing on existing momentum
Leverages their audience

The Method: Reply Guy 2.0

Not spam. Not "great post!"

Thoughtful, value-added replies that attract the right people.

Step 1: Find the Right Posts

I follow 50 creators in my niche. Every morning, I scan for:

Posts with 50+ comments (proven interest)
Topics I have unique perspective on
Questions I can actually answer

Platforms:

LinkedIn (B2B focus)
X/Twitter (tech/automation crowd)
Reddit (r/productivity, r/automation)
IndieHackers (founder community)

Step 2: Craft the Reply

Structure that works:

Acknowledge — "This resonates because..."
Add value — Share a related insight or counterpoint
Invite connection — "Happy to share how I solved this"
Soft CTA — Link to relevant resource or "DM me"

Example:

Original post: "Just spent 3 hours in meetings today. Zero deep work done."

My reply:

"I hit this wall last year. What helped: I started blocking 'Focus Time' on my calendar and treating it like an external meeting. No one can book over it.

I also started declining meetings without agendas. Saved 5+ hours/week.

Happy to share my calendar template if helpful — just reply here."

Result: 12 replies, 4 DMs, 2 discovery calls booked.

Step 3: Track & Nurture

I keep a simple spreadsheet:

Post I replied to
Date
Engagement on my reply
Leads generated
Follow-up status

Rule: If someone replies or DMs, I respond within 2 hours.

The Tools (Mostly Free)

TweetDeck (free) — Monitor Twitter keywords
LinkedIn (free) — Follow creators, set alerts
Notion (free) — Track replies and leads
Hypefury ($19/mo) — Schedule and track replies at scale

The Numbers

Time per day: 30-45 minutes
Replies per week: ~20
DMs received: ~8-12
Discovery calls: 3-5
Conversion rate: ~15% become clients

Why This Works for Introverts

I'm not a "content creator." I'm a problem solver.

Replying lets me:

Skip the pressure of original content
Join existing conversations
Show expertise without performance
Build real relationships

The Template

My reply formula:

[Personal connection] + [Unique insight] + [Soft invitation]

Example:
"I struggled with this exact issue. What finally worked was [specific tactic]. 

It's counterintuitive because [why it's different]. 

Happy to share more details if helpful."

Try This Today

Find 3 posts in your niche from today
Reply with genuine insight (not "great post!")
Offer something — template, resource, or "happy to help"
Track who engages
Follow up with value, not pitches

The Mindset Shift

Stop thinking "How do I get noticed?"

Start thinking "How do I be helpful?"

The leads follow.

This is part of my Growth Automation series. Follow for more low-lift marketing strategies.

What's your go-to platform for engaging with your audience?

I Built an AI Calendar Assistant. It Saves Me 5 Hours a Week.

Daniel Automation — Wed, 22 Apr 2026 10:44:21 +0000

My calendar used to be a mess.

Double-bookings. Forgotten meetings. The "what time works for you?" email ping-pong.

So I built an AI assistant to handle it all.

Here's exactly how it works:

The Old Way (Chaos)

Every scheduling request meant:

Open calendar
Find 3-4 time slots
Type them out
Wait for reply
Repeat 2-3 times
Finally book it

Time per request: 10-15 minutes

The New Way (Automation)

Now it takes 30 seconds. Here's the system:

Step 1: Smart Scheduling Link

I use Calendly with AI-enhanced rules:

Buffer time: 15 min before/after meetings
Focus blocks: No meetings before 10 AM
Meeting types: 15-min intro calls, 30-min deep dives, 60-min strategy sessions
Auto-timezone: No more "what time zone are you in?"

Step 2: AI Pre-Meeting Prep

Every morning at 8 AM, my agent:

Scans my calendar for today's meetings
Researches attendees (LinkedIn, company news)
Drafts agenda based on meeting type
Emails prep docs to me

Step 3: Post-Meeting Magic

After each meeting:

Recording auto-transcribed (Otter.ai)
AI generates action items
Tasks auto-added to Todoist
Follow-up email drafted

The Tools (All Under $30/month)

Calendly Pro ($12/mo) — Scheduling logic
Make.com ($9/mo) — Workflow automation
OpenAI API (~$5/mo) — Summarization
Otter.ai (free tier) — Transcription

The Results

Time saved: 5+ hours/week
Double bookings: Zero (in 3 months)
No-shows: Down 60%
Stress level: Way lower

Want to Build This?

Here's my Calendly setup:

Event Types:

15-min Intro Call (buffer: 15 min before, 15 min after)
30-min Consultation (buffer: 30 min before)
60-min Strategy Session (buffer: 30 min before/after)

Availability:

Monday-Friday: 10 AM - 5 PM
No meetings before 10 AM (focus time)
Max 4 meetings/day

Questions I Ask:

What's the main topic?
What would make this a win for you?
Any prep materials to review?

The Template

Want my exact Make.com automation? Here's the logic:

Trigger: New Calendly event booked
Action 1: Add to Google Calendar
Action 2: Create Notion meeting page
Action 3: If meeting is tomorrow → Draft prep email
Action 4: 1 hour after meeting → Request transcription
Action 5: Generate action items from transcript
Action 6: Add tasks to project manager

Why This Works

It's not about the tools. It's about the system.

Every meeting now has:

Clear purpose (from booking questions)
Prepped attendee (from auto-research)
Captured outcomes (from transcription)
Tracked follow-ups (from action items)

Try This First

Before building anything, optimize your Calendly:

Add buffer time — Protect your sanity
Limit daily meetings — Protect your focus
Ask good questions — Protect your time

Then layer in automation.

This is part of my Productivity Automation series. Follow for more time-saving workflows.

What's your biggest calendar headache? Let me know in the comments.

Originally posted on Buy Me A Coffee

I Built an AI Calendar Assistant. It Saves Me 5 Hours a Week.

Daniel Automation — Wed, 22 Apr 2026 07:48:46 +0000

My calendar used to be a mess.

Double-bookings. Forgotten meetings. The "what time works for you?" email ping-pong.

So I built an AI assistant to handle it all.

Here's exactly how it works:

The Old Way (Chaos)

Every scheduling request meant:

Open calendar
Find 3-4 time slotsling Link

I use Calendly with AI-enhanced rules:

Buffer time: 15 min before/after meetings
Focus blocks: No meetings before 10 AM
Meeting types: 15-min intro calls, 30-min deep dives, 60-min strategy sessions
Auto-timezone: No more "what time zone are you in?"

Step 2: AI Pre-Meeting Prep

Every morning at 8 AM, my agent:

Scans my calendar for today's meetings
Researches attendees (LinkedIn, company news)
Drafts agenda based on meeting type
Emails prep docs to me

Step 3: Post-Meeting Magic

After each meeting:

Recording auto-transcribed (Otter.ai)
AI generates action items
Tasks auto-added to Todoist
Follow-up email drafted

The Tools (All Under $30/month)

Calendly Pro ($12/mo) ‚Äî Scheduling logic
Make.com ($9/mo) ‚Äî Workflow automation
OpenAI API (~$5/mo) ‚Äî Summarization
Otter.ai (free tier) ‚Äî Transcription

The Results

Time saved: 5+ hours/week
Double bookings: Zero (in 3 months)
No-shows: Down 60%
Stress level: Way lower

Want to Build This?

Here's my Calendly setup:

Event Types:

15-min Intro Call (buffer: 15 min before, 15 min after)
30-min Consultation (buffer: 30 min before)
60-min Strategy Session (buffer: 30 min before/after)

Availability:

Monday-Friday: 10 AM - 5 PM
No meetings before 10 AM (focus time)
Max 4 meetings/day

Questions I Ask:

What's the main topic?
What would make this a win for you?
Any prep materials to review?

The Template

Want my exact Make.com automation? Here's the logic:

Trigger: New Calendly event booked
Action 1: Add to Google Calendar
Action 2: Create Notion meeting page
Action 3: If meeting is tomorrow ‚Üí Draft prep email
Action 4: 1 hour after meeting ‚Üí Request transcription
Action 5: Generate action items from transcript
Action 6: Add tasks to project manager

Why This Works

It's not about the tools. It's about the system.

Every meeting now has:

Clear purpose (from booking questions)
Prepped attendee (from auto-research)
Captured outcomes (from transcription)
Tracked follow-ups (from action items)

Try This First

Before building anything, optimize your Calendly:

Add buffer time ‚Äî Protect your sanity
Limit daily meetings ‚Äî Protect your focus
Ask good questions ‚Äî Protect your time

Then layer in automation.

This is part of my Productivity Automation series. Follow for more time-saving workflows.

What's your biggest calendar headache? Let me know in the comments.

Type them out
Wait for reply
Repeat 2-3 times
Finally book it

Time per request: 10-15 minutes

The New Way (Automation)

Now it takes 30 seconds. Here's the system:

Step 1: Smart Schedu

I Automated My Email. Here's What Happened.

Daniel Automation — Tue, 21 Apr 2026 13:55:20 +0000

I used to spend 2 hours every day on email.

Reading. Responding. Organizing. Repeat.

Sound familiar?

Today, I spend 15 minutes. And I don't miss anything important.

Here's exactly what I built:

The Problem

My inbox was a black hole:

200+ unread emails
Constant notifications
Important emails buried under newsletters
Felt like I was always behind

The Solution: The 3-Filter System

I didn't need better willpower. I needed better automation.

Filter 1: VIPs Only (Instant Notification)

Clients
Critical business contacts
Family

These bypass everything and hit my inbox directly. Everything else goes through filters.

Filter 2: Automated Sorting

Using Gmail filters + labels:

Action Required: Emails needing my response
Read Later: Newsletters, updates, FYIs
Receipts: Automated confirmations
Social: Notifications from platforms

Filter 3: The Archive Rule

If it's not VIP or Action Required, it gets auto-archived after 7 days unread.

The truth? If I haven't read it in 7 days, I never will.

The Implementation

Here's my actual Gmail filter syntax:

From: client@company.com OR from:boss@work.com
- Label: VIP
- Never mark as spam
- Never auto-archive

From: *@newsletter.com OR from: *@substack.com
- Label: Read Later
- Skip inbox
- Mark as read

Subject: "unsubscribe" OR from: noreply@
- Apply label: Low Priority
- Archive immediately

The Free Tool Stack

Gmail Filters: Native automation (free)
Mailstrom: Bulk unsubscribe and cleanup (free tier)
Boomerang: Email scheduling (free tier)
Simple Gmail Filters: Auto-label, auto-archive, auto-forward

The Results After 30 Days

Metric	Before	After
Inbox unread	200+	0 (maintained)
Time spent	2 hours/day	15 minutes/day
Missed important emails	3-5/week	0
Stress level	High	Minimal

What I Learned

Inbox Zero isn't about zero emails. It's about zero decisions.

When everything is pre-sorted, I know exactly what needs my attention. The rest can wait—or doesn't need me at all.

Want to Try It?

Start with ONE filter:

Pick your biggest email category (newsletters, notifications, etc.)
Create a filter to auto-label and archive it
Check the label once a week instead of daily

Then add more filters as you go.

Originally published on Buy Me A Coffee. Follow for more automation workflows.

What email automation would help you most? Drop a comment below!

The $0 Tool Stack That Runs My Entire Business

Daniel Automation — Mon, 20 Apr 2026 16:48:30 +0000

The $0 Tool Stack That Runs My Entire Business

I used to think building a business required expensive software subscriptions. Turns out, I was wrong.

After years of testing and refining, I've built a complete business infrastructure using only free tools. Not free trials. Not "freemium with limits." Actually free.

Here's my complete $0 tool stack:

📧 Communication & Email

ProtonMail: Free encrypted email (500MB storage)
Signal: Secure messaging
Discord: Community and team chat

📝 Documents & Writing

Notion: Project docs, databases, wikis (generous free tier)
Google Docs: Collaborative editing
Obsidian: Personal knowledge management

☁️ Storage & Files

Google Drive: 15GB free
Mega: 20GB free encrypted storage
GitHub: Unlimited public repos for code

🎨 Design & Media

Canva: Graphic design
GIMP: Photo editing
DaVinci Resolve: Video editing

🛠️ Development & Automation

VS Code: Code editor
Replit: Cloud coding environment
Zapier: 100 free tasks/month automation
GitHub Actions: CI/CD pipelines

🔍 Research & Learning

ChatGPT: AI assistance (free tier)
YouTube: Unlimited tutorials
RSS readers: Curated news

💰 Finance & Admin

Wave: Free invoicing and accounting
Google Sheets: Budget tracking
Google Calendar: Scheduling

The Truth About "Free"

Here's what nobody tells you: the best tools are free because they have to be.

Open-source projects compete on merit. Community-funded tools prioritize users over shareholders. And freemium models let you grow before paying.

My Monthly Savings

If I paid for equivalent premium tools:

Email: $6/month
Storage: $10/month
Design: $13/month
Project Management: $10/month
Automation: $20/month
Total: $59/month = $708/year

Current spend: $0

When to Upgrade

I'm not saying never pay for tools. I'm saying be intentional.

Upgrade when:

You hit real limits (not artificial ones)
The paid feature directly generates revenue
The time saved exceeds the cost

Your Turn

What free tools are you sleeping on? Drop your favorites in the comments.

Want the full list with links? Grab my free Notion template.

Follow for more zero-cost business automation tips.

The $100/Hour Skill Nobody Teaches: Context Switching Management

Daniel Automation — Sun, 19 Apr 2026 20:16:37 +0000

I learned this the hard way: context switching isn't just inefficient—it's expensive.

A developer switching between tasks loses 40% productivity. For a $150k engineer, that's $60k/year in lost output.

Here's how top performers protect their focus.

Why Context Switching Is So Costly

Your brain builds a "mental model" of what you're working on:

Variable names
Function relationships
Current logic flow
Edge cases to remember

Every switch, you drop that model. Rebuilding it takes 10-25 minutes.

Switch 6 times a day? That's 2-3 hours of "reloading" time.

The Context Switching Taxonomy

Level 1: Same Project, Different File

Cost: Low (5-10 min recovery)

Same mental model
Just new context

Level 2: Different Project, Same Stack

Cost: Medium (15-20 min recovery)

New mental model needed
Similar patterns help

Level 3: Different Project, Different Stack

Cost: High (25-40 min recovery)

Complete context rebuild
Muscle memory conflicts

Level 4: Coding → Meeting → Coding

Cost: Severe (30-60 min recovery)

Cognitive mode switching
Social context adds overhead

What Actually Works

Time Blocking (The Foundation)

Morning: Deep work blocks (90-120 min)
Afternoon: Collaboration blocks (meetings, reviews)
End of day: Admin/communication

Protect your circadian rhythm. Most people focus best 2-4 hours after waking.

The Maker's Schedule

Popularized by Paul Graham:
Maker Time: Blocks of 4+ hours for creation
Manager Time: Meetings, communication, coordination

Never interrupt maker time for manager tasks.

Context Batching

Group similar tasks:

All code reviews together
All emails together
All meetings together

Your brain stays in one "mode."

The Shutdown Routine

Before ending a work session:

Document exactly where you left off
Write the next specific step
Note any blockers or questions

Reduces next-day startup from 20 min to 2 min.

The Bottom Line

Context switching is a $100/hour skill because:

It compounds (more switches = more lost time)
It's invisible (you don't notice the cost)
It's preventable (with systems)

Your most productive hours are your first 3-4 each day. Protect them like the asset they are.

This post was originally published on Buy Me A Coffee

The 2-Minute Rule That Eliminated 90% of My Procrastination

Daniel Automation — Sat, 18 Apr 2026 08:46:24 +0000

I used to have a todo list with 47 items on it.

Every morning I'd stare at it, feel overwhelmed, and go make coffee instead.

Then I discovered the 2-Minute Rule. It changed everything.

What Is The 2-Minute Rule?

Popularized by David Allen in "Getting Things Done":

If something takes less than 2 minutes, do it immediately.

If it takes longer than 2 minutes, write it down and schedule it.

That's it. That's the whole rule.

Why It Works

Your brain hates open loops:

Unread emails
Unpaid bills
Unfinished tasks
"I'll get to it later"

Each one creates mental overhead. You carry them around all day.

The 2-Minute Rule closes loops immediately OR captures them properly.

My Real-World Application

Before the rule:

Todo list: 47 items
Actually completed: 3-4 per day
Mental stress: High

After 2 weeks:

Todo list: 8-12 items
Actually completed: 15-20 per day
Mental stress: Low

What Counts As "2 Minutes"?

Not everything that could take 2 minutes. Things that actually take 2 minutes:

✅ Reply to that email
✅ File that receipt
✅ Water the plant
✅ Schedule the appointment
✅ Move that file

❌ "Just write the presentation" (nope)
❌ "I'll quickly organize the closet" (nope)

The Magic Happens In Two Places

1. The Quick Wins

Every 2-minute task you complete:

Closes a mental loop
Builds momentum
Trains your brain that action feels good

The math: 10 two-minute tasks = 20 minutes

Without the rule? Those 10 tasks would sit there for weeks, creating anxiety.

2. The Capture Discipline

When you can't do something in 2 minutes, you write it down.

This is crucial. Your brain stops trying to "remember to remember."

The task is captured. You can let it go and focus on what's in front of you.

My Modified System

I added one tweak:

The 2/10/30 Rule:

2 minutes → Do it now
10 minutes → Do it now (if energy allows)
30+ minutes → Schedule it

This captures slightly bigger quick wins without losing the principle.

Common Mistakes

Mistake #1: Using it as an excuse to do easy stuff all day

You can't spend 8 hours on 2-minute tasks. That's avoidance.

Set a time block (I do 30 minutes in the morning) for quick tasks. Then move to deep work.

Mistake #2: Underestimating how long things take

"This will only take 2 minutes" (narrator: it took 45 minutes)

If you misjudge, that's fine. Stop at 2 minutes, capture the rest, move on.

Mistake #3: Not having a capture system

The rule only works if you trust your capture system. Email yourself. Use a notes app. Write on paper.

Just capture it somewhere you'll check.

The Procrastination Connection

Procrastination isn't laziness. It's emotional management.

You procrastinate because the task feels big, scary, or unclear.

The 2-Minute Rule solves this by:

Breaking big tasks into tiny ones
Removing decision fatigue ("should I do this now?")
Creating immediate wins

My Current Workflow

Morning (30 min): 2-minute task sweep

Process inbox
Handle quick Slack messages
Clear physical desk

Deep Work (3 hours): No 2-minute tasks allowed

Phone in another room
Single project focus
Capture everything, action nothing

Afternoon (1 hour): Scheduled work

Those captured tasks from deep work
Longer emails
Planning tomorrow

The 90% Claim

Does it actually eliminate 90% of procrastination?

For me, yes. Here's why:

60% of my procrastination was on tiny tasks I was avoiding
25% was on unclear tasks I hadn't properly captured
15% was on genuinely hard work (still happens)

The 2-Minute Rule solves the first two completely.

Try It Today

Look at your todo list
Find everything that takes <2 minutes
Do those things RIGHT NOW
Capture everything else properly
Feel the weight lift

Report back. I promise you'll be surprised.

What's the 2-minute task you've been avoiding for weeks? Tell me in the comments — accountability helps.

Want more productivity systems that actually work? Support the project on Buy Me A Coffee ☕

Originally published on Buy Me A Coffee

I Tracked Every Distraction for a Week. Here's What Actually Kills Productivity.

Daniel Automation — Thu, 16 Apr 2026 08:44:14 +0000

Last Monday, I started a brutal experiment: I logged every single distraction for 7 days.

Not just "got distracted." I timed it. Categorized it. Analyzed it.

The results changed how I think about focus.

The Raw Numbers

Total distractions logged: 187
Total time lost: 11.3 hours
Average recovery time after distraction: 23 minutes

That's nearly 12 hours of lost productive time in one week.

The Surprising Culprits

#1: "Quick Checks" (42% of distractions)

Slack "just to see"
Email "real quick"
Calendar "what's next"

Average duration: 8 minutes
Recovery time: 23 minutes

Each "quick check" cost me 31 minutes total. Do that 10 times a day? That's 5 hours gone.

#2: Notifications (28% of distractions)

Phone buzzes
Desktop alerts
Tab badges

Average duration: 2 minutes
Recovery time: 18 minutes

Short but deadly. The constant context switching destroyed my flow state.

#3: Self-Interruptions (19% of distractions)

"I'll just look that up"
"Let me check that real quick"
"I should document this"

Average duration: 12 minutes
Recovery time: 28 minutes

These were the worst. I was interrupting myself.

What Actually Worked

After seeing the data, I tested 5 interventions:

1. Notification Bankruptcy

Turned off ALL non-essential notifications.

Result: -67% phone distractions

2. Scheduled Check Times

Slack/email only at 9 AM, 1 PM, 4 PM.

Result: -54% "quick checks"

3. Browser Discipline

One work window. No tabs except current task.

Result: -71% self-interruptions

4. Physical Phone Distance

Phone in another room during focus blocks.

Result: -82% notification distractions

5. The 2-Minute Rule

If it takes <2 min, do it immediately. If not, write it down.

Result: -45% mental clutter

The Week 2 Results

Same tracking, same metrics:

Distractions: 187 → 43
Time lost: 11.3 hours → 2.1 hours
Recovery time: 23 min → 12 min

I reclaimed 9 hours in one week.

The Real Lesson

Distractions aren't the problem. Recovery time is.

A 2-minute Slack check doesn't cost 2 minutes. It costs 25 minutes (check + recovery).

Your brain needs time to reload context, rebuild mental models, and get back into flow.

My Current Setup

Deep Work Blocks: 90 minutes, phone in another room, notifications off, single browser window

Buffer Blocks: 30 minutes for communication, admin, quick tasks

Shutdown Ritual: 15 minutes to document where I left off (reduces next-day startup cost)

Try It Yourself

This week, log every distraction:

What interrupted you?
How long did you spend on it?
How long until you felt "back"?

One week of data will change your approach forever.

Originally published on Buy Me A Coffee

What's your biggest distraction killer? Let me know in the comments.

The AI Agent Workflow: How I Built a 24/7 Content Machine

Daniel Automation — Wed, 15 Apr 2026 10:43:09 +0000

I used to spend 4 hours every day creating content. Now I spend 30 minutes reviewing what my AI agents produced overnight.

Here's the exact workflow that runs my content operation while I sleep.

The Old Way (Burnout Central)

Brainstorm ideas: 1 hour
Write first draft: 2 hours
Edit and polish: 45 minutes
Cross-post to platforms: 30 minutes

Total: 4+ hours daily

Sound familiar?

The New Way (Agent-Powered)

My AI agents handle everything except final approval:

Research Agent (runs at 6 AM)

Scans trending topics in AI/automation
Identifies content gaps
Generates 5 topic ideas

Writer Agent (runs at 7 AM)

Takes top-scoring topic
Writes full draft with my voice
Includes examples and code snippets

Distribution Agent (runs at 8 AM)

Posts to Buy Me A Coffee
Cross-posts to Dev.to, Medium, Substack
Schedules social media threads

Analytics Agent (runs at 9 AM)

Tracks engagement across platforms
Identifies top-performing content
Suggests optimizations

My Daily 30-Minute Review

10 min: Review drafted posts
10 min: Make edits, add personal touches
10 min: Approve scheduled content

That's it.

The Technical Setup

Tools I use:

OpenClaw for agent orchestration
Custom prompts for voice consistency
Browser automation for posting
Data files for content tracking

Key insight: The agents don't replace my expertise. They amplify it.

I still make the strategic decisions. I still add the personal stories that only I can tell. But the repetitive work? Automated.

The Results After 30 Days

Content output: 3x increase
Time spent: 85% decrease
Engagement: +40% (more consistent posting)
Creative energy: Through the roof

Want to Build Your Own?

Start small:

Pick ONE repetitive task
Create a simple agent for it
Iterate based on results
Add more agents gradually

The goal isn't to replace yourself. It's to free yourself up for higher-leverage work.

Ready to build your content machine?

This post was originally published on Buy Me A Coffee. Follow for weekly automation insights and behind-the-scenes looks at agent workflows.

Discussion

What's one repetitive task you'd love to automate? Drop your ideas in the comments!