Jonathan Gunson. Writer

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Jonathan Gunson. Writer

Jonathan Gunson. Writer

@JonathanGunson

Writer & Illustrator

New Zealand Katılım Nisan 2008
109.4K Takip Edilen114.4K Takipçiler
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The Ways of A Gentleman
The Ways of A Gentleman@Gentleman_Ways·
“A man should hear a little music, read a little poetry, and see a fine picture every day of his life, in order that worldly cares may not obliterate the sense of the beautiful which God has implanted in the human soul.” -Johann Wolfgang von Goethe
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History Defined
History Defined@historydefined·
Why "tick-tock" sounds correct, but "tock tick" does not.
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NaomiSky15
NaomiSky15@NaomiSky_15·
Princess Catherine recently stated she wants to protect women’s sports. 👀 Prince William declares he is Church of England. 👏🏽👏🏽👏🏽 The House of Windsor is BACK! MEGA 🇬🇧👑
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J.A. Konrath
J.A. Konrath@jakonrath·
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Manu Sisti
Manu Sisti@Manu_Sisti·
Last month, Amazon paid me $65,000 for selling books I DIDN'T write. I just used the right system: • Amazon to research urgent topics • ChatGPT to outline chapters • Claude AI to write chapters • Ideogram AI to design covers that get clicks • Amazon KDP to publish eBook I could easily charge $199 for this. But for the next 24 hours, you can get my entire AI publishing strategy for free. Comment “24” I’ll DM you everything. (Make sure to follow)
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​𝐥𝐲𝐫𝐚
​𝐥𝐲𝐫𝐚@sunnkssdseraph·
Rosalind Franklin actually cracked the code for the DNA double helix but got zero credit at the time. Her colleague showed her "PHOTO 51" to Watson and Crick without her even knowing, and that was the "EUREKA" moment they needed to build their model. She died at 37, so she couldn't share the Nobel Prize, but history finally recognizes she was the one who actually had the receipts. A total genius who deserved way better. ( I share stories of women daily)
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Jonathan Gunson. Writer
Jonathan Gunson. Writer@JonathanGunson·
Vancouver is a delight! "The Italians' on Bute Street stole my heart this evening. Italian cooking... ahhhh...
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Bret van den Brink
Bret van den Brink@BretVDB·
“Books descend from books as families descend from families. Some descend from Jane Austen; others from Dickens. They resemble their parents, as human children resemble their parents; yet they differ as children differ, and revolt as children revolt.” —Virginia Woolf, “The Leaning Tower”
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HELLO! Canada
HELLO! Canada@HelloCanada·
Prince William is riding in style 🚲😆 The Prince of Wales joined BBC Radio 1 personality Greg James on his tandem bike, surprising him during his fundraiser for Comic Relief. The pair joked together during their leisurely ride, having a lovely time cruising through the English countryside. Later, William got to announce that the fundraiser had officially raised over £1,000,000, leaving Greg speechless ✨ 📽️ : BBC Radio 1 #PrinceWilliam #RoyalFamily
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Proudofus.uk
Proudofus.uk@ProudofusUK·
The patron saint of Ireland was British. 🇮🇪☘️🇬🇧 Born in Roman Britain. Around 385 AD. His father was a decurion, a Roman local official. At 16, Irish raiders kidnapped him. Along with thousands of others. He was enslaved for six years. A shepherd. Alone on the hills of Ireland. He escaped. Found a ship. Made it home to Britain. Then around 432 AD, he went back. Voluntarily. To the land that enslaved him. Not for revenge. He spent the rest of his life there. Building churches. Teaching. Baptising. Forgiving. He never came home. His own words survive. The Confessio. One of the oldest personal documents in European history. Written by a British man in Ireland, fifteen hundred years ago. "I am a sinner. A simple country person." "I never had any reason to return. Except the Gospel and its promises." Happy St Patrick's Day. 🇬🇧☘️ Be Proud Of Us.
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Belle
Belle@RoyallyBelle_·
The Princess of Wales meeting Vienna and Mila, daughters of Irish Guards soldiers, after the St Patrick’s Day parade today. So adorable 🥰
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goma
goma@soigomaa·
She was mocked... for being too smart. Marilyn vos Savant was born in 1946. By age 10, her IQ tested at 228. The highest ever recorded. People called her a freak. A fluke. A fraud. She became famous in the '80s for writing a column in Parade magazine - where readers sent her riddles, math problems, and logic traps. Then came the Monty Hall problem. A math puzzle most professors got wrong. She solved it. Perfectly. Explained it to the public in plain English. 1,000+ letters poured in. From PhDs, mathematicians, even Nobel laureates. All saying she was wrong. A woman couldn't be smarter than them. But when MIT and Harvard ran the test? She was right. They were wrong. Instead of revenge, she just kept answering letters and became a role model for gifted girls around the world.
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Jonathan Gunson. Writer
Jonathan Gunson. Writer@JonathanGunson·
@unreMARKLEble Wake up time: Headline says "Australia trip rocked by email leak." Ah... sorry, but no-one in Australia noticed. And the likely source of the 'leak' is Meghan herself.  Another tedious PR stunt to add gravitas and 'importance' to a nobody who is desperate to be a somebody .
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AI Frontier Firm
AI Frontier Firm@AI_FrontierFirm·
We built a $720K per year AI automation engine in 90 days and here's the exact technical stack and sales process : For every 100 people that talk about AI agencies, 99 of them don't talk about the actual implementation. I've helped more than 30 entities launch AI automation agencies. 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝘁𝗶𝗺𝗲 𝘁𝗼 𝗳𝗶𝗿𝘀𝘁 $𝟭𝟬𝗞/𝗺𝗼𝗻𝘁𝗵: 𝟲𝟳 𝗱𝗮𝘆𝘀 Here's the complete blueprint: 𝗧𝗛𝗘 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗧𝗔𝗖𝗞 (𝗖𝗼𝘀𝘁: $𝟯𝟰𝟳/𝗺𝗼𝗻𝘁𝗵) 𝗟𝗮𝘆𝗲𝗿 𝟭: 𝗖𝗼𝗿𝗲 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗣𝗿𝗶𝗺𝗮𝗿𝘆 𝗔𝗜: Claude API Cost: $0-500/month (scales with usage) Why: Best for business analysis, reliable outputs 𝗦𝗲𝗰𝗼𝗻𝗱𝗮𝗿𝘆 𝗔𝗜: GPT-4 via OpenAI Cost: $0-200/month Why: Some clients specifically request it 𝗕𝗮𝗰𝗸𝘂𝗽 𝗔𝗜: Anthropic Haiku for simple tasks Cost: ~$20/month Why: 95% cheaper for basic classifications 𝗟𝗮𝘆𝗲𝗿 𝟮: 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗖𝗵𝗼𝗶𝗰𝗲: 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺 (my preference) Cost: $29/month (starter), $99/month (scale) Why: More powerful than Zapier, better for complex workflows Alternative: Zapier ($29-$99/month) Why: Easier for beginners, more integrations 𝗟𝗮𝘆𝗲𝗿 𝟯: 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗖𝗵𝗼𝗶𝗰𝗲: 𝗔𝗶𝗿𝘁𝗮𝗯𝗹𝗲 Cost: $20/month per user Why: Visual database, easy for clients to understand Alternative: Google Sheets (free) Why: Clients already use it, zero learning curve 𝗟𝗮𝘆𝗲𝗿 𝟰: 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗖𝗥𝗠 𝗖𝗵𝗼𝗶𝗰𝗲: 𝗻𝟴𝗻 (𝘀𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗲𝗱) + 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 Cost: $0-45/month for hosting Why: Unlimited workflows, full control 𝗙𝗼𝗿 𝗰𝗹𝗶𝗲𝗻𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: 𝗡𝗼𝘁𝗶𝗼𝗻 Cost: $10/month Why: Client portals, documentation, project management 𝗧𝗼𝘁𝗮𝗹 𝗺𝗼𝗻𝘁𝗵𝗹𝘆 𝗰𝗼𝘀𝘁: $𝟭𝟳𝟴-𝟯𝟰𝟳 (vs $15K/month for a development team) 𝗧𝗛𝗘 𝟱 𝗖𝗢𝗥𝗘 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 (𝗦𝘁𝗮𝗿𝘁 𝗛𝗲𝗿𝗲) 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 #𝟭: 𝗟𝗲𝗮𝗱 𝗘𝗻𝗿𝗶𝗰𝗵𝗺𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: Client uploads 1,000 leads → System enriches with company data, scores quality, assigns to sales reps 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Make.com → Clearbit API → Claude API (scoring) → CRM update 𝗕𝘂𝗶𝗹𝗱 𝘁𝗶𝗺𝗲: 4-6 hours 𝗖𝗹𝗶𝗲𝗻𝘁 𝘃𝗮𝗹𝘂𝗲: $2,000-3,500 setup + $500/month maintenance 𝗬𝗼𝘂𝗿 𝗰𝗼𝘀𝘁: $47/month in tools 𝗣𝗿𝗼𝗳𝗶𝘁 𝗺𝗮𝗿𝗴𝗶𝗻: 𝟴𝟵% 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄: 1. Webhook receives lead data 2. Clearbit enriches with company info 3. Claude scores based on: - Company size (employee count) - Industry match - Technology stack - Funding status - Growth signals 4. Assigns score 0-100 5. Routes to appropriate sales rep 6. Updates CRM with enriched data 7. Sends Slack notification if score >80 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀 𝘁𝗼 𝗰𝗹𝗶𝗲𝗻𝘁: Automated lead scoring (saves 10+ hours/week) Higher-quality sales calls Increased conversion rates Weekly reports on lead quality 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 #𝟮: 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: Analyzes all customer communications (support tickets, emails, calls) for sentiment, urgency, churn risk 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Make.com → Pull from Zendesk/Intercom → Claude API → Dashboard 𝗕𝘂𝗶𝗹𝗱 𝘁𝗶𝗺𝗲: 6-8 hours 𝗖𝗹𝗶𝗲𝗻𝘁 𝘃𝗮𝗹𝘂𝗲: $3,000-5,000 setup + $700/month 𝗬𝗼𝘂𝗿 𝗰𝗼𝘀𝘁: $73/month 𝗣𝗿𝗼𝗳𝗶𝘁 𝗺𝗮𝗿𝗴𝗶𝗻: 𝟵𝟬% 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄: 1. Daily pull of customer communications 2. Claude analyzes each message: - Sentiment (-100 to +100) - Urgency level (1-10) - Topics mentioned - Churn risk indicators 3. Aggregates by customer 4. Flags high-risk accounts (sentiment <-40 or urgent issues) 5. Sends alert to customer success manager 6. Updates customer health score in CRM 7. Generates weekly executive report 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀: Real-time churn risk alerts Customer health scoring Trend analysis (what's making customers angry) Automated CSM task creation 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 #𝟯: 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: Extracts key terms from contracts, flags risks, compares to standard terms 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Make.com → Document uploaded → Claude API → Output to Google Sheets 𝗕𝘂𝗶𝗹𝗱 𝘁𝗶𝗺𝗲: 5-7 hours 𝗖𝗹𝗶𝗲𝗻𝘁 𝘃𝗮𝗹𝘂𝗲: $4,000-7,000 setup + $800/month 𝗬𝗼𝘂𝗿 𝗰𝗼𝘀𝘁: $89/month 𝗣𝗿𝗼𝗳𝗶𝘁 𝗺𝗮𝗿𝗴𝗶𝗻: 𝟵𝟭% 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄: 1. Contract uploaded to designated folder 2. System extracts text (OCR if needed) 3. Claude analyzes: - Payment terms - Liability caps - Auto-renewal clauses - Termination conditions - IP ownership - Data privacy commitments 4. Compares against client's "standard terms" 5. Flags deviations (red/yellow/green) 6. Generates executive summary 7. Suggests redlines 8. Sends to legal team for review 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀: 67% faster contract review Standardized risk assessment Reduced legal bottlenecks Audit trail of all contracts 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 #𝟰: 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: Monitors competitors' websites, pricing, features, job postings for changes 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Make.com → Web scraping → Claude API → Slack alerts 𝗕𝘂𝗶𝗹𝗱 𝘁𝗶𝗺𝗲: 8-10 hours 𝗖𝗹𝗶𝗲𝗻𝘁 𝘃𝗮𝗹𝘂𝗲: $3,500-6,000 setup + $600/month 𝗬𝗼𝘂𝗿 𝗰𝗼𝘀𝘁: $67/month 𝗣𝗿𝗼𝗳𝗶𝘁 𝗺𝗮𝗿𝗴𝗶𝗻: 𝟴𝟵% 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄: 1. Weekly crawl of competitor websites (5-10 competitors) 2. Extract: pricing pages, feature lists, team pages, blog posts 3. Store current version 4. Compare against previous week's version 5. Claude analyzes changes: - Pricing increases/decreases - New features launched - Key hires (based on job titles) - Messaging changes 6. Generates strategic brief: what changed, why it matters, recommended response 7. Sends to product + sales leadership 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀: Weekly competitive intelligence brief Immediate alerts on major changes Trend analysis over time Strategic recommendations 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 #𝟱: 𝗦𝗮𝗹𝗲𝘀 𝗖𝗮𝗹𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: Transcribes sales calls, extracts key points, identifies objections, scores performance 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Make.com → Gong/Zoom API → Whisper API (transcription) → Claude API 𝗕𝘂𝗶𝗹𝗱 𝘁𝗶𝗺𝗲: 10-12 hours 𝗖𝗹𝗶𝗲𝗻𝘁 𝘃𝗮𝗹𝘂𝗲: $5,000-8,000 setup + $900/month 𝗬𝗼𝘂𝗿 𝗰𝗼𝘀𝘁: $134/month 𝗣𝗿𝗼𝗳𝗶𝘁 𝗺𝗮𝗿𝗴𝗶𝗻: 𝟴𝟱% 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄: 1. Sales call ends 2. System pulls recording from Zoom/Gong 3. Whisper transcribes audio → text 4. Claude analyzes transcript: - Talk-to-listen ratio - Questions asked - Objections raised - Competitor mentions - Buying signals - Next steps committed to 5. Scores call quality (1-100) 6. Generates coaching points 7. Sends summary to sales manager 8. Updates CRM with key insights 9. Weekly rollup: top performers, common objections, win/loss patterns 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀: Automatic call summaries Sales rep coaching insights Objection pattern analysis Win/loss intelligence 𝗧𝗛𝗘 𝗦𝗔𝗟𝗘𝗦 𝗣𝗥𝗢𝗖𝗘𝗦𝗦 (𝗛𝗼𝘄 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗖𝗹𝗶𝗲𝗻𝘁𝘀) 𝗣𝗵𝗮𝘀𝗲 𝟭: 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝗶𝗻𝗴 (𝗗𝗮𝘆𝘀 𝟭-𝟳) Don't sell "AI automation" Sell outcomes: ❌ "I build AI workflows" ✅ "I help B2B companies reduce lead response time by 87%" ❌ "I automate with Claude" ✅ "I turn your customer support data into churn predictions" 𝗣𝗶𝗰𝗸 𝗢𝗡𝗘 𝗻𝗶𝗰𝗵𝗲: B2B SaaS companies Real estate agencies E-commerce brands Professional services (law, accounting) Healthcare clinics 𝗪𝗵𝘆 𝗻𝗶𝗰𝗵𝗲? You build templates once, sell them 50 times. Service #1 for SaaS = Service #1 for e-commerce with small tweaks. 𝗣𝗵𝗮𝘀𝗲 𝟮: 𝗢𝘂𝘁𝗿𝗲𝗮𝗰𝗵 (𝗗𝗮𝘆𝘀 𝟴-𝟯𝟬) 𝗖𝗵𝗮𝗻𝗻𝗲𝗹: 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Identify 100 decision-makers in your niche Send connection request (no pitch) After connection, send this: "Hey [Name], I noticed [Company] is scaling fast (congrats on the [recent achievement]!). Quick question: How much time does your team spend manually [specific pain point]? I recently helped [Similar Company] cut that time by 73% using an AI automation. Would a 15-min call showing the system make sense?" 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗿𝗮𝘁𝗲: 𝟭𝟮-𝟭𝟴% 𝗖𝗹𝗼𝘀𝗲 𝗿𝗮𝘁𝗲 𝗳𝗿𝗼𝗺 𝗰𝗮𝗹𝗹: 𝟯𝟱-𝟰𝟬% 𝗠𝗮𝘁𝗵: 100 messages → 15 responses → 5-6 clients 𝗣𝗵𝗮𝘀𝗲 𝟯: 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗖𝗮𝗹𝗹 (𝟭𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀) 𝗬𝗼𝘂𝗿 𝘀𝗰𝗿𝗶𝗽𝘁: "Walk me through your current process for [their pain point]" [Let them talk for 5 minutes] "How much time does that take weekly?" "What does that cost you in labor?" "What if I could reduce that by 70-80%?" "Here's how it works: [show similar example]" "This would take me 6-8 hours to build for you. Setup fee: $3,500. Monthly maintenance: $600. Does that work?" 𝗣𝗵𝗮𝘀𝗲 𝟰: 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 (𝗗𝗮𝘆𝘀 𝟯𝟭-𝟵𝟬) 𝗪𝗲𝗲𝗸 𝟭-𝟮 𝗽𝗲𝗿 𝗰𝗹𝗶𝗲𝗻𝘁: Build the automation (6-10 hours) Test thoroughly (2-4 hours) Document the system (2 hours) Train their team (1 hour) 𝗬𝗼𝘂 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝟯-𝟰 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗽𝗲𝗿 𝗺𝗼𝗻𝘁𝗵 𝘀𝗼𝗹𝗼 𝗧𝗛𝗘 𝗥𝗘𝗩𝗘𝗡𝗨𝗘 𝗠𝗔𝗧𝗛 (𝗠𝗼𝗻𝘁𝗵-𝗯𝘆-𝗠𝗼𝗻𝘁𝗵) 𝗠𝗼𝗻𝘁𝗵 𝟭: Clients closed: 2 Setup fees: $7,000 (2 × $3,500) Monthly recurring: $1,200 (2 × $600) 𝗥𝗲𝘃𝗲𝗻𝘂𝗲: $𝟴,𝟮𝟬𝟬 𝗠𝗼𝗻𝘁𝗵 𝟮: Clients closed: 3 Setup fees: $10,500 (3 × $3,500) Monthly recurring: $3,000 (5 total clients × $600) 𝗥𝗲𝘃𝗲𝗻𝘂𝗲: $𝟭𝟯,𝟱𝟬𝟬 𝗠𝗼𝗻𝘁𝗵 𝟯: Clients closed: 4 Setup fees: $14,000 (4 × $3,500) Monthly recurring: $5,400 (9 total clients × $600) 𝗥𝗲𝘃𝗲𝗻𝘂𝗲: $𝟭𝟵,𝟰𝟬𝟬 𝗧𝗼𝘁𝗮𝗹 𝗳𝗶𝗿𝘀𝘁 𝟵𝟬 𝗱𝗮𝘆𝘀: $𝟰𝟭,𝟭𝟬𝟬 𝗔𝗻𝗻𝘂𝗮𝗹𝗶𝘇𝗲𝗱 𝗠𝗥𝗥 𝗯𝘆 𝗲𝗻𝗱 𝗼𝗳 𝗠𝗼𝗻𝘁𝗵 𝟯: $𝟲𝟰,𝟴𝟬𝟬 𝗠𝗼𝗻𝘁𝗵 𝟰-𝟭𝟮: Keep closing 3-4 clients/month By Month 12: 40 clients MRR: $24,000/month = $288,000/year Setup fees: $126,000 (36 clients × $3,500) 𝗬𝗲𝗮𝗿 𝟭 𝗿𝗲𝘃𝗲𝗻𝘂𝗲: $𝟰𝟭𝟰,𝟬𝟬𝟬 𝗬𝗲𝗮𝗿 𝟭 𝗰𝗼𝘀𝘁𝘀: Tools: $4,164 Taxes/insurance: $50,000 𝗡𝗲𝘁 𝗽𝗿𝗼𝗳𝗶𝘁: $𝟯𝟱𝟵,𝟴𝟯𝟲 𝗔𝘀 𝗮 𝘀𝗼𝗹𝗼 𝗳𝗼𝘂𝗻𝗱𝗲𝗿. Want the complete technical implementation guide with templates? 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 "𝗔𝗜" 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗳𝗿𝗲𝗲 𝗲𝗯𝗼𝗼𝗸 𝘄𝗶𝘁𝗵 𝗮𝗹𝗹 𝟱 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 + 𝘀𝗮𝗹𝗲𝘀 𝘀𝗰𝗿𝗶𝗽𝘁𝘀
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Tommi Pedruzzi
Tommi Pedruzzi@TommiPedruzzi·
One of our members started Amazon KDP while working years at an investment bank. He consistently makes $4,000 to $5,000 a month working roughly 4 hours. 4 hour per month. Not per week. Per month. Here's what's actually working for time-starved people as of March 2026, and why James's story isn't the exception: Oh btw, if you want my full unfiltered playbook, market selection framework, AI production workflow, launch checklist, and portfolio scaling system follow me, repost this, and reply "2026." Publishing doesn't have a time problem. It has a priority problem. Most people who say they don't have time are spending the time they do have on the wrong things: scrolling, half-watching something on the couch, or doing low-value tasks that feel productive but move nothing forward. James built his entire portfolio in the margins of a demanding banking career. One focused hour in the evening, done consistently, builds something most people spend years talking about starting. The actual time commitment with AI Publishing broken down honestly. Week one is the heaviest. Plan for 5 to 7 hours total, spread across evenings, to validate your market and select your niche. This is front-loaded on purpose, get the research right once and everything downstream runs faster and cleaner. James was doing this between shifts. You can do it before dinners. Production is where most people assume they'll get stuck. But with the right AI workflow, a complete 80 to 100 page nonfiction book takes 6 to 10 hours of active work spread across roughly two weeks. That's one focused weekend morning plus 30 minutes on a few evenings. James never wrote a single book himself: not one word. The writing was always delegated, first to ghostwriters, now almost entirely to AI The only thing that hasn't been fully automated yet, in his words, is cover design, and he thinks that's a few months away. After launch, the time drops to almost nothing. A weekly 30-minute check of your dashboard, a look at your metrics, a decision on whether to scale or move to the next book. That's the entire ongoing commitment for a portfolio already in motion. What's actually working right now for people with no time: Batching all research and production into Saturday morning blocks instead of trying to squeeze in 15 minutes daily, consistency without daily pressure. Using AI for first drafts, structure, keyword research, marketing copy, and formatting, so the active work portion of the whole process drops by around 80%. Launching books in the same market so one round of research does the work of three. And treating the first 90 days as a finite build phase with a clear end point, not an open-ended commitment that competes with everything else in your life indefinitely. What's not working: Waiting until the kids are older, the job settles down, or life gets quieter. James didn't wait for a quieter season, he built during one of the busiest periods of his professional life and quit his banking job two years later because the royalties had already replaced his salary. That moment of a quieter life doesn't arrive on a schedule. It gets created or it doesn't happen. Trying to write every word manually while holding a full-time job. That's not publishing, that's a second job with worse hours and no ceiling. James never did it that way, and neither should you. Publishing one book, watching the dashboard obsessively, and quitting when nothing dramatic happens in the first three weeks. James is clear about this... the wins compound slowly and then suddenly. You look back over a year and realise how far you've come, but only if you never stopped showing up. What realistic results look like for genuinely busy people: A first royalty payment typically arrives within 6 to 8 weeks of launching, even for members working entirely in evenings and weekends. Members following the batched production model are hitting $3,000 to $5,000 a month between months 4 and 8. And James... 8 years in a bank, no writing background, built anonymously on the side, is sitting at $300,000 in total earnings with one account running at $4,000 to $5,000 a month on 4 hours of input. The weekly schedule that actually works: Monday to Friday: 30 to 45 minutes in the evening for research, outlining, or reviewing AI drafts. One weekend morning: 2 to 3 hours of focused production or launch prep while the house is quiet. After your first book is live: one 30-minute weekly dashboard check. Roughly 6 to 8 hours a week during the build phase, dropping to under 2 once the portfolio is running. Most people spend more time than that deciding what to watch on a Friday night. The only time investments that actually matter: Market research quality in week one. Cover and title optimisation before you publish, not after. Reviewing your first book's performance data at the 30-day mark. Deciding whether to double down on a working market or move to a better one. Everything else, the writing, the outlines, the keyword research, the marketing copy, the formatting, can be handed to AI, outsourced, or systematised entirely. James automated all of it. That's why 4 hours a month is enough. A 30-day start plan built specifically for people who have no time: >> Days 1 to 5: market research only, one focused session per evening. >> Validate demand before creating anything. >> Days 6 to 18: AI-assisted production in batched weekend sessions. No daily streaks, no pressure, no guilt on the days life gets in the way. >> Days 19 to 25: cover, title, and description optimisation, one focused afternoon. >> Days 26 to 30: publish, set up dashboard tracking, and outline book two in the same market while the first one is live. Run this for 90 days without stopping. Screenshot your royalty dashboard on day 91. Tag me when the first payment lands. And if you want the full playbook with market research templates, AI production workflows, and the exact time-efficient portfolio system James used to get to $300,000, follow me, and comment "2026." You need to do all three to get the DM.
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Jonathan Gunson. Writer retweetledi
HerodotusWave
HerodotusWave@HerodotusWave·
The interior of the Basílica de la Sagrada Família in Barcelona.
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Jonathan Gunson. Writer retweetledi
Massimo
Massimo@Rainmaker1973·
Grace Brewster Hopper was an American computer scientist, mathematician, and United States Navy rear admiral. She was a pioneer of computer programming. She developed COBOL (1960), an early high-level programming language still in use today.
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John Connor
John Connor@JohnConnor19622·
@MrCryptoWhaleCN You just laid out the Rothchilds banking family road to future profits using the when there is blood in the streets philosophy of buying.
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