$1M Year. No Staff. 10 Hours a Week - CourtneyR.dev's 2nd Brain

$1M Year. No Staff. 10 Hours a Week ![rw-book-cover](https://img.youtube.com/vi/ltH58_QnEtw/maxresdefault.jpg) 🔗 **Source:** [$1M Year. No Staff. 10 Hours a Week](https://www.youtube.com/watch?v=ltH58_QnEtw) > [!note]+ Document Notes > tags: #agency-automation #ai-systems #content-marketing #business-systems #recurring-revenue > author: Troy Dean > source: YouTube > reference: https://www.youtube.com/watch?v=ltH58_QnEtw > date created: 2024-12-19 10:30 > > # 🏷️ Title: $1M Year. No Staff. 10 hours a week (part two) >  ## 🧰 Action Inbox - [H1] Map existing agency processes to AI skills framework — brand voice, content strategy, production workflow #agency-automation - [H2] Evaluate current tool stack against recommended setup — Asana, High Level CRM, Slack integration #business-systems - [H3] Calculate ROI timeline for transitioning existing clients to AI system — 30-day time savings, 60-day margin improvement #recurring-revenue ## 🧭 Table of Contents - [[#📝 Summary]] - [[#📖 Main Content]] - [[#🗒️ Notes]] - [[#📚 References]] - [[#🗣️ Paraphrase]] - [[#📰 Newsletter]] - [[#✅ Action Items]] - [[#🧪 Hypotheses]] - [[#📊 Methodology]] - [[#❓ Questions]] - [[#🔮 Future Research]] - [[#💡 Implications]] - [[#🧠 Learning Styles Assessment]] - [[#📊 Accessibility Assessment]] - [[#🌍 DEIB Assessment]] - [[#✅ Logical Validity]] - [[#🛡️ DARVO Analysis]] - [[#🎯 Conclusion]] ### 🔗 References - [Troy Dean's Channel](https://www.youtube.com/@troydean) - [Part One Video](https://www.youtube.com/watch?v=ltH58_QnEtw) ## 📝 Summary - **What happened**: Troy Dean reveals the technical implementation of his AI-powered agency system that generates $1M annually with 10 hours/week of work - **Why it matters**: Demonstrates a working alternative to traditional agency scaling through hiring, using specialized AI agents instead of human staff - **Key stakeholders**: Agency owners, solopreneurs, existing agencies struggling with fulfillment and team management - **Risks and tradeoffs**: Requires 90-day setup period, doesn't solve client acquisition, not suitable for complete beginners - **Bottom line**: A system of specialized AI "skills" can handle agency fulfillment end-to-end, allowing owners to focus on sales, strategy, and supervision ## 📖 Main Content Troy Dean explains how his "headless agency" model works using AI agents rather than chatbots. The core distinction is between tools (pick up, use, put down) versus systems (build once, keep running). His system employs specialized AI agents that function like dedicated team members who never quit, sleep, or need raises. The system consists of modular "skills" that snap together like Lego blocks. Each skill is documented, tested, and improves over time. Current skills include brand voice extraction, content strategy development, long-form blog writing, social media production, email newsletters, project management, and client communication. The onboarding process follows a structured 12-week timeline: Week 1 (discovery and foundation documents), Week 2 (strategy build), Week 3 (first content production), Weeks 4-8 (calibration), and Weeks 9-12 (autonomous operation). By the end, the system operates independently with only strategic check-ins required. Quality control prevents "AI slop" through upfront brand voice extraction (using client interview transcripts) and editorial QC passes. Real clients including agency owners pay for and recommend the service, with examples in English and Dutch markets. ## 🗒️ Notes #### ⏱️ [00:00](https://youtu.be/ltH58_QnEtw?t=0) — [H1] System vs Tool Distinction - Key idea: AI agents form a system that runs continuously, unlike chatbot tools - Evidence: "A tool is something you pick up, use for a task, and put down. Whereas a system is something you build once and it keeps running" #### ⏱️ [01:45](https://youtu.be/ltH58_QnEtw?t=105) — [H2] Specialized AI Skills Framework - Key idea: Each AI agent has one specific job and does it consistently - Evidence: "Each skill is documented and each skill is tested and each skill gets better over time and they snap together like Lego blocks" #### ⏱️ [03:20](https://youtu.be/ltH58_QnEtw?t=200) — [H1] Brand Voice Extraction Process - Key idea: Discovery process captures client's unique communication style - Evidence: "The AI runs a discovery process. It interviews the client, reads their existing content, analyzes their tone, builds a brand voice document" #### ⏱️ [04:15](https://youtu.be/ltH58_QnEtw?t=255) — [H2] Content Strategy Automation - Key idea: AI creates comprehensive 3-month content plans from brand guidelines - Evidence: "Three months of content mapped out in advance with the themes identified, the pillar topics chosen, the search terms researched" #### ⏱️ [05:10](https://youtu.be/ltH58_QnEtw?t=310) — [H3] Long-form Content Production - Key idea: Weekly thought leadership posts with SEO and AI search optimization - Evidence: "Every week for every client, the AI produces a 1500 to 2,000word thought leadership blog post" #### ⏱️ [06:05](https://youtu.be/ltH58_QnEtw?t=365) — [H3] Social Media Scale - Key idea: High-volume social content with branded image generation - Evidence: "40 plus social posts per client per month. each one with a generated image" #### ⏱️ [06:45](https://youtu.be/ltH58_QnEtw?t=405) — [H2] Project Management Automation - Key idea: AI handles all project management tasks without human intervention - Evidence: "I haven't logged into Asana in 3 weeks. And honestly, every time I used to log into Asana, my brain would just freeze" #### ⏱️ [07:30](https://youtu.be/ltH58_QnEtw?t=450) — [H3] Client Communication System - Key idea: Dedicated Slack channels with AI handling routine updates - Evidence: "If something needs my attention, it tags me. I don't get pinged for routine stuff anymore" #### ⏱️ [09:15](https://youtu.be/ltH58_QnEtw?t=555) — [H1] 12-Week Onboarding Timeline - Key idea: Structured progression from discovery to autonomous operation - Evidence: "Week one is discovery... By weeks 9 through 12 is autonomous operation" #### ⏱️ [13:45](https://youtu.be/ltH58_QnEtw?t=825) — [H2] Quality Control Methods - Key idea: Voice capture and editorial passes prevent generic AI output - Evidence: "The fastest way to do this is to interview your client and get your client talking a lot about what they know" #### ⏱️ [16:20](https://youtu.be/ltH58_QnEtw?t=980) — [H1] Client Proof Points - Key idea: Agency owners pay for and recommend the service - Evidence: "My clients are agency owners. They make content for a living. So, if anyone could spot AI slop, it's them" #### ⏱️ [18:30](https://youtu.be/ltH58_QnEtw?t=1110) — [H2] Owner Role Definition - Key idea: Focus on sales, strategy, and system supervision only - Evidence: "Just sales, strategy, and supervision. The three things you actually got into business for" #### ⏱️ [21:15](https://youtu.be/ltH58_QnEtw?t=1275) — [H3] Technology Stack Requirements - Key idea: Standard tools with hundreds, not thousands in monthly costs - Evidence: "Total monthly cost is in the hundreds, not the thousands. It's way less than one employee" #### ⏱️ [24:00](https://youtu.be/ltH58_QnEtw?t=1440) — [H1] ROI Timeline Expectations - Key idea: 30-day time savings, 60-day margin improvement, 90-day independence - Evidence: "You'll see time savings within the first 30 days... full operational independence by day 90" #### ⏱️ [26:45](https://youtu.be/ltH58_QnEtw?t=1605) — [H2] System Limitations - Key idea: Requires existing business skills, doesn't solve client acquisition - Evidence: "We're not teaching you how to start from absolute zero. We're showing you how to build a fulfillment infrastructure" ## 📚 References - [Asana Project Management](https://asana.com) - [High Level CRM](https://www.gohighlevel.com) - [Slack Communication Platform](https://slack.com) - [Meta MCP Documentation](https://developers.facebook.com) ## 🗣️ Paraphrase - AI agents operate as specialized team members that handle specific agency functions like brand analysis, content creation, and client communication without human supervision - The system requires a 12-week implementation period starting with discovery and ending with autonomous operation that needs only strategic check-ins - Quality output comes from detailed brand voice extraction during onboarding and editorial quality control, not from generic chatbot prompts ## 📰 Newsletter **AI-Powered Agency Systems: Beyond the Chatbot** This week's deep dive reveals how one agency owner built a $1M system using specialized AI agents instead of traditional staff. The key insight? Moving from AI tools to AI systems that run continuously. **Key Learning**: The difference between chatbots (tools you pick up and put down) and agent systems (build once, run continuously) could transform how we think about scaling digital services. **Practical Application**: Consider mapping your repetitive processes to specialized "skills" that could be automated - from content creation to project management to client communication. **The Technical Stack**: Standard tools (Asana, Slack, CRM) with AI integration costs hundreds per month vs. thousands for employee salaries, making this accessible for smaller operations. Resources: [WordPress VIP](https://wpvip.com/), [Automattic for Agencies](https://automattic.com/for-agencies/), [WordPress.com Business](https://wordpress.com/business/) ## ✅ Action Items #### DevRel - Developer advocacy: Document AI integration patterns for agency workflows, create case studies showing developer productivity gains - Education: Workshop curricula on AI agent architecture vs. chatbot implementations - Developer experience: SDK documentation for connecting agency tools with AI systems - Developer marketing: Content strategy highlighting technical implementation details - Community management: Foster discussions around AI ethics in agency automation #### WordPress - Core: Evaluate AI-first content management workflows, API optimization for automated publishing - Community: Develop best practices for AI-generated content in WordPress ecosystem - Training: Lesson plans on responsible AI use in content creation - Marketing: Case studies of successful WordPress + AI agency implementations - Documentation: Guidelines for AI content attribution and transparency - Hosting: Performance considerations for AI-generated content at scale #### Community - Maintainers: Governance frameworks for AI-generated contributions to open source projects - Contributors: Guidelines for AI-assisted development and attribution standards - Sponsors: Transparency requirements for AI use in sponsored content ## 🧪 Hypotheses - Specialized AI agents outperform general chatbots for agency workflows because of focused skill development and contextual learning - Brand voice extraction during onboarding phase significantly improves AI output quality compared to generic prompts - 12-week implementation timeline represents optimal balance between system complexity and time-to-value for agency automation - Agency owners can maintain client relationships while delegating execution entirely to AI systems ### 📊 Methodology - Comparative study of chatbot vs. agent system performance across agency tasks - Analysis of client satisfaction scores before/after AI system implementation - Time-tracking study of owner hours during 12-week onboarding vs. steady-state operation ### ❓ Questions - How does client retention compare between AI-delivered services vs. human-delivered agency work? - What percentage of agency functions can be fully automated without losing strategic value? - How do pricing models need to evolve when delivery costs approach zero through automation? ### 🔮 Future Research - Long-term impact of AI agents on agency industry employment and business models - Integration patterns between AI systems and existing agency tool ecosystems - Client perception and acceptance of AI-generated content in B2B relationships ### 💡 Implications - Practice: Agency owners may need to shift from operations management to sales and strategy focus - Policy: Professional service industries may need disclosure requirements for AI-generated work - Security: AI system access to client data requires new security frameworks and audit procedures - Education: Business education needs to include AI system design alongside traditional management - Funding: Investment models for agencies shift from headcount-based to technology infrastructure ### 🧠 Learning Styles Assessment Reading level estimate: Grade 10-11 (accessible business communication) #### 👀 Visual learners - Present: Process flow descriptions, timeline structure - Improve: System architecture diagrams, skill interaction flowcharts, client journey visualizations #### 🔊 Aural learners - Present: Video format with clear narration - Improve: Audio-only version, podcast adaptation for commute listening #### 🗣️ Verbal learners - Present: Clear definitions of tools vs. systems, business analogies - Improve: Glossary of AI agent terminology, comparison matrices #### 🧩 Kinesthetic learners - Present: Step-by-step implementation timeline - Improve: Interactive skill-building exercises, hands-on AI training modules #### 🧠 Logical learners - Present: ROI timelines, cost comparisons, process sequences - Improve: Decision trees for system selection, KPI tracking frameworks #### 🧑‍🤝‍🧑 Social learners - Present: Client testimonials, peer recommendations - Improve: Agency owner community forums, implementation cohorts #### 🧘‍♀️ Solitary learners - Present: Self-paced video content, individual reflection prompts - Improve: Self-assessment quizzes, private implementation worksheets #### 🌿 Naturalistic learners - Present: Organic business growth analogies - Improve: Ecosystem thinking about agency sustainability, environmental impact of AI vs. human labor ### 📊 Accessibility Assessment #### Screen reader semantics - Present: Clear heading structure, descriptive video content - Improve: Video transcript with timestamp navigation, alt text for any visual elements #### Keyboard navigation - Present: Standard video player controls - Improve: Keyboard shortcuts for video sections, skip-to-content options #### Contrast and readability - Present: Standard video player interface - Improve: High contrast mode option, adjustable text size for any overlays #### Text resizing and reflow - Present: Responsive video player - Improve: Separate text-based version that reflows properly #### Media and captions - Present: Video with audio narration - Improve: Closed captions, downloadable transcript, audio description track #### Forms and interactions - Present: Basic video controls - Improve: Accessible feedback forms for viewer questions #### Standards reference - Video accessibility should meet WCAG 2.2 AA standards for media content ### 🌍 DEIB Assessment #### Cultural breadth - Present: Examples from Australian and Dutch markets - Improve: Case studies from diverse geographic regions, consideration of global business practices #### Inclusive language - Present: Generally accessible business terminology - Improve: Avoid assumptions about family structure ("young family"), consider diverse business ownership models #### Neurodiversity support - Present: Clear section breaks, logical progression - Improve: Content outline upfront, estimated time commitments, break suggestions #### Representation - Present: Single perspective from successful agency owner - Improve: Include diverse voices, different business sizes, various success metrics #### Psychological safety - Present: Honest about limitations and requirements - Improve: Address concerns about AI replacing human creativity, provide reassurance about learning curve ### ✅ Logical Validity #### Strong reasoning - Deductive strength: Clear progression from system definition to implementation steps - Inductive strength: Client testimonials support claims about system effectiveness - Causal reasoning: Links specific AI skills to business outcomes with timeline - Analogical strength: Effective comparison of AI agents to specialized human team members #### Fallacies - Cherry-picking: Only positive client testimonials shown, potential selection bias - Appeal to authority: Uses client credentials (agency owners) to validate quality without independent verification - False dilemma: Presents traditional --- ## Full Transcript [00:00] I haven't logged into Asana in 3 weeks. [00:02] And honestly, every time I used to log [00:03] into Asana, my brain would just freeze [00:05] and I'd start daydreaming about doing [00:07] absolutely anything else. The AI loves [00:09] it. So, the AI can [ __ ] have it. Hey, [00:11] in the last video, I told you I'd open [00:13] the bonnet on this system and walk you [00:14] through exactly how the headless agency [00:17] model works. And today, we're doing [00:18] exactly that. So, a quick recap if [00:20] you're new here or if you missed it. 28 [00:22] clients at three grand a month each. [00:23] That's a million dollar a year in [00:24] recurring revenue. Less than 10 hours a [00:27] week of my time. No team, no staff, no [00:30] virtual assistants, just me and the AI. [00:33] And I told you I was at zero clients [00:35] about four or five weeks ago. As of [00:37] recording this video, I'm now at 10 [00:38] clients, still onboarding one new client [00:40] a week by choice cuz I want to grow [00:42] slowly because I value my time and I [00:44] have a young family. So, the trajectory [00:46] is set for 28 clients at three grand a [00:49] month. Now, the DMs have just been [00:50] completely nuts over the last couple of [00:52] weeks. And you're all asking the same [00:54] question. Yeah, but how does the AI [00:55] actually do the work? So today I'm going [00:57] to show you this isn't the marketing [00:59] version. This is the real version. First [01:00] thing I need to clear up, the AI I'm [01:02] using is not Chat GPT. It's not Claude. [01:05] It's not Gemini. It's not a chatbot. [01:07] It's not a team in the Philippines [01:08] pretending to be a robot. I love Chat [01:10] GPT and Claude. I use Claude every day. [01:12] It's open all the time. But it's a tool. [01:14] And what we've got here is a system of [01:16] agents. And here's the difference. A [01:18] tool is something you pick up, use for a [01:20] task, and put down. Whereas a system is [01:22] something you build once and it keeps [01:24] running. So imagine you built a team of [01:27] staff where each person had exactly one [01:29] job and they did that job incredibly [01:31] well. The social media person does [01:33] social media. The account manager [01:35] manages the accounts and the clients. [01:37] The reporting person just does the [01:38] reporting. What a wonderful world that [01:40] would be that we lived in if grown-ups [01:42] just acted like grown-ups and did their [01:44] job consistently all the time. But of [01:46] course, we know that's just not the way [01:48] it is. Now imagine those team members [01:50] never quit. They never sleep. They never [01:51] call in sick. They never ask for a [01:53] raise. They never take their training [01:54] with them when they leave. And every [01:56] time you tell them how to do something [01:57] better, they remember it forever and [01:59] apply it to every client from that point [02:02] on. Well, that's what we've got here [02:03] with the AI. One AI agent orchestrating [02:07] a team of co-workers doing the job. A [02:10] system of specialized AI agents, what I [02:13] call skills, each doing one job, plugged [02:16] together to deliver agency services end [02:19] to end. Each skill is documented and [02:21] each skill is tested and each skill gets [02:24] better over time and they snap together [02:27] like Lego blocks to form complete [02:29] services for clients. So, let me [02:32] actually walk you through some of the [02:33] skills running in my agency right now. [02:35] This isn't theory. This isn't something [02:37] that Claude told me I should make a [02:39] video about. This is the actual setup. [02:42] Skill number one is the brand voice [02:44] extraction. When a new client on boards, [02:47] the AI runs a discovery process. It [02:49] interviews the client, reads their [02:51] existing content, analyzes their tone, [02:53] builds a brand voice document that [02:55] captures exactly how they sound, punchy [02:58] or polished, conversational or formal, [03:00] Aussie or American, whatever they are, [03:02] the system learns it, even in Dutch, [03:04] which I'll talk about in a moment. Skill [03:06] number two is the ideal client profile [03:08] and the content strategy. So, from the [03:10] brand guide document, the AI builds out [03:12] an ideal customer profile and a content [03:14] strategy for the client. three months of [03:16] content mapped out in advance with the [03:18] themes identified, the pillar topics [03:20] chosen, the search terms researched. [03:23] This used to be a $5,000 engagement at [03:25] least, and the AI does it in less than a [03:28] few hours. Skill number three in my [03:30] agency is long- form blog writing. Every [03:33] week for every client, the AI produces a [03:35] 1500 to 2,000word thought leadership [03:38] blog post. It's not an SEO play, but it [03:40] is optimized for keywords because why [03:42] wouldn't you? bound to the brand voice [03:45] on strategy. The image is generated, the [03:47] featured image for each blog post is [03:49] generated and bound to the client's [03:51] image style guide. The blog posts are [03:52] written in a way that they're optimized [03:54] also for LLMs and AI search. By Tuesday, [03:57] it's drafted. By Thursday, it's QCed and [04:00] approved by the client. By Friday, it's [04:01] published. Skill number four is the [04:03] social media production. 40 plus social [04:05] posts per client per month. each one [04:07] with a generated image. Again, bound to [04:10] their brand image guidelines, scheduled [04:13] and ready to ship. Skill number five is [04:15] the email newsletter that they send to [04:17] their clients list. Again, on brand and [04:19] tied into their content strategy. Skill [04:21] number six is project management. This [04:23] one's massively underrated and I've [04:25] never seen anyone do this yet. The AI [04:27] updates as automatically. It moves [04:29] tasks. It assigns things to people. It [04:31] marks things done. I haven't logged into [04:33] Asana in 3 weeks. And honestly, every [04:35] time I used to log into Asana, my brain [04:37] would just freeze and I'd start [04:38] daydreaming about doing absolutely [04:40] anything else. The AI loves it, so the [04:42] AI can [ __ ] have it. Skill number [04:44] seven, client communication. Every [04:46] client has a dedicated Slack channel. [04:48] The AI sends them updates. Hey Paul, [04:51] this week's blog post is ready for [04:53] review. Here's the link. Let us know if [04:55] you want any changes. And if they ask [04:56] for revisions, the AI handles it. If [04:58] something needs my attention, it tags [05:00] me. I don't get pinged for routine stuff [05:02] anymore. I just get pinged for the [05:03] things that actually need my brain. [05:05] There are more skills that we'll dial [05:06] in. Paid media management is an example [05:09] now that Meta has released their MCP. [05:11] Approval workflows, onboarding [05:12] sequences, renewal automations. You get [05:14] the picture. Now, this is real work [05:16] going to real clients right now. This [05:18] isn't something I'm building in the [05:19] future. I've built this already. It's [05:20] already live. It's already happening. [05:22] So, let's say tomorrow I sign a new [05:24] client. They've signed the agreement. [05:25] They've paid the first invoice. What [05:26] happens? So, week one is a discovery [05:29] process. I have a 60-minute kickoff call [05:31] with a client to get to know them. We [05:32] talk about their business, their goals, [05:34] their ideal client, their voice, what [05:36] they want to be known for. The AI is in [05:37] that call and also doing its own work in [05:39] the background, researching their [05:40] website and their social media profiles. [05:42] The AI is in the call listening, taking [05:44] notes, building the foundational [05:46] documents. By the end of week one, the [05:48] AI has produced three documents. The [05:50] brand voice guide, the ideal client [05:51] profile, and the content strategy. I [05:53] review them, give the AI any tweaks, it [05:56] updates it, we send it to the client for [05:58] approval. Week two is the strategy [06:00] build. From those three documents, we [06:02] build out the full three months of [06:04] content, pillar topics, blog post [06:06] titles, social themes. We lock in their [06:08] image guide, their library of images. We [06:10] build out email sequences, keyword [06:12] research baked in. I review it with the [06:14] client on a 30-minute call. We adjust [06:16] where needed, give the AI feedback, and [06:18] then it's approved. And once that's [06:19] approved, week three, we into [06:21] production. The first batch of content [06:23] gets produced. blog posts, social media, [06:26] newsletters, images. I QC the first [06:28] batch heavily because the AI is still [06:30] learning the client's voice. I make [06:32] corrections. I feed corrections back [06:34] into the system. The system learns and [06:36] updates itself. Week four through 8 is [06:38] calibration. So, each batch of content [06:40] gets a little less of my attention [06:42] because the system's getting better at [06:44] the client's voice. I'm watching the [06:46] quality control pass rate go up, errors [06:48] go down, revisions go down. Weeks 9 [06:50] through 12 is autonomous operation. And [06:53] by this point, the system is producing [06:54] content for the client without my hands [06:56] on it. I'm just doing strategic [06:58] check-ins twice a month. The AI is [07:00] handling everything else. Production, [07:03] project management, client [07:05] communications, that's the model. That's [07:07] how it actually works. All right? Not [07:09] theory, not someday. Right now, it's [07:11] working. Now, I know what you're [07:13] thinking because I've been getting these [07:14] questions in the DMs every day for the [07:16] last couple of weeks. Yeah, this all [07:17] sounds great, Uncle Troy, but is the [07:19] output actually any good or is it just [07:21] AI slop with a bow tie on it? And it's a [07:23] fair question, and it's the question [07:24] that 6 months ago I would have had a [07:26] very different answer. There's two [07:28] reasons it doesn't read like AI slop. [07:30] One is the voice capture that we do up [07:32] front. Most AI sounds generic because it [07:34] comes from people who have used chat GPT [07:36] with a oneline prompt and seen the [07:38] default output full of M dashes and [07:40] those classic AI sentence structures and [07:42] then they might take that and run it [07:43] through a humanizer and guess what? But [07:45] we're back to copying and pasting [07:46] between platforms. The default AI output [07:49] is generic, but when you frontload brand [07:52] voice extraction during onboarding, the [07:54] output isn't generic anymore. It's [07:56] finally tuned to that client. It sounds [07:58] like that client. Quick tip here. The [08:00] fastest way to do this is to interview [08:02] your client and get your client talking [08:04] a lot about what they know. Take the [08:06] transcript and feed it to the AI so the [08:08] AI can analyze how your client actually [08:11] talks, not types. Okay. The second [08:13] reason it doesn't sound like AI is [08:15] because of our editorial quality [08:16] control. Every piece of content that we [08:18] produce goes through a final pass before [08:20] it ships. The AI handles 95% of it. I do [08:22] the 5% that requires human judgment. [08:25] We're not editing AI to disguise it. [08:27] We're finishing it the same way any [08:29] agency finishes content before it ships. [08:31] And here's the proof. My clients are [08:34] agency owners. They make content for a [08:36] living. So, if anyone could spot AI [08:38] slop, it's them. They're paying me and [08:41] they're recommending me to other [08:42] agencies. Sam at Heartbeat Digital here [08:44] in Melbourne, absolutely raving about [08:46] the work that we're doing for them. [08:47] Renee at Spiker and Co. in the [08:49] Netherlands where we're producing blog [08:51] posts in English and his social media [08:53] posts in Dutch. In fact, I just want to [08:55] read what Renee sent to me in Slack the [08:57] other day. The system Agency Maverick's [08:58] built is remarkably simple. You answer a [09:01] handful of questions and content just [09:02] flows. Blog posts and social posts get [09:04] approved through AI. Edits appear [09:07] instantly and everything publishes [09:08] automatically. It even works perfectly [09:10] in Dutch. Every week there's new content [09:12] on our socials and website and I no [09:15] longer have to chase it. That alone has [09:17] been worth it. Real agencies paying real [09:19] money and getting real results. And if [09:21] the output was bad, I wouldn't be having [09:22] this conversation. I'd be refunding [09:24] people. But instead, I'm capping growth [09:26] at one new client a week because I want [09:28] to maintain the quality. And as I've [09:29] said, I value my calendar and I value [09:31] the time I get to spend with my kids. [09:33] So, if the AI is doing all of this, what [09:35] do you do all day as the agency owner? [09:37] And this is the question that actually [09:38] matters because the answer is the whole [09:41] point of this conversation that we're [09:42] having. You should be doing three [09:44] things. One, you sign clients. You do [09:46] sales, relationships, and networking. [09:49] The AI doesn't do this for you, and [09:50] frankly, it shouldn't. Humans buy from [09:53] humans. You are the face. You are the [09:55] person they trust. You're the one [09:57] shaking hands and making a promise and [09:59] putting your reputation on the line. [10:01] Number two is you have strategic [10:02] conversations twice a month with each [10:04] client. 20 30 minutes maximum. How's it [10:07] going? What's working? What do you want [10:09] more of? Anything we should change? This [10:11] is where you keep the relationship [10:12] strong and you earn the lifetime value [10:15] of the client. Number three is you [10:17] supervise the system. You watch the [10:19] quality control pass rate. You spot [10:21] trends. You train the new skills when [10:23] something new comes up. You iterate. The [10:25] AI gets smarter over time because you [10:27] make it smarter. And that's it. That's [10:30] your day. No more team management. No [10:31] SOPs. No hiring. No firing. No payroll. [10:34] No, where's that document? No asana. [10:37] Well, the AI is in Asana. You're not. No [10:40] that offshore contract that ghosted us [10:42] again. Just sales, strategy, and [10:45] supervision. The three things you [10:47] actually got into business for. Now, I'm [10:49] not saying you need to fire your [10:50] existing team. I'm saying if you're a [10:52] soloreneur, you don't want to hire a [10:54] team. This is perfect. If you've got an [10:56] existing team and you want to scale [10:58] revenue and profit without extra [10:59] headcount, this is perfect. So, now that [11:02] you've seen the system, I know a [11:04] different set of questions is starting [11:05] to come up and I want to just tackle [11:07] them here headon because you've already [11:08] been asking me in the DMs anyway. What [11:10] software do I need? Well, you need a [11:12] handful of things. You need a project [11:13] management tool. I use Asana, but [11:15] anything works. A lot of our agencies [11:16] use ClickUp. It's fine. A CRM. We use [11:19] High Level. Yeah, it's clunky as [ __ ] [11:21] but it does the job. A communication [11:23] tool. Slack is where I live and it's [11:26] what I would recommend because our AI is [11:28] built for Slack. Plus, the platforms [11:30] your clients already use. WordPress, [11:33] Google Workspace, Meta, just the [11:35] standard digital marketing stack. Total [11:37] monthly cost is in the hundreds, not the [11:40] thousands. It's way less than one [11:42] employee. The other question I get is [11:43] how customized is this to my niche? [11:45] Well, very because the skill files are [11:48] the infrastructure. Think of a skill [11:50] file as a modern version of a standard [11:52] operating procedure. Here's what I want [11:54] you to understand. Instead of writing an [11:55] SOP and delegating that to a human being [11:57] to follow, you're writing a skills file [12:00] and giving that to the AI. The [12:02] configuration, the brand voice docs, the [12:04] strategy templates, the content [12:05] libraries, those get tuned to the [12:08] clients you serve and the services you [12:10] provide. So, if you're serving plumbers, [12:12] the system gets tuned for plumbers. If [12:14] you're serving SAS, it gets tuned for [12:16] SAS. Same skills, different [12:18] configuration and context. If you've [12:20] hired a copywriter to write blog post [12:22] for plumbers and a copywriter to hire a [12:24] blog post for SAS, same skill, different [12:27] context, different configuration. That's [12:29] what we install during the 90 days. What [12:31] about my existing clients is another [12:33] question that I've been getting a lot [12:34] of. Do I have to start from scratch? Not [12:36] at all. Your existing clients can be [12:38] migrated into the system over a few [12:40] weeks. You keep them. You just stop [12:42] doing the work yourself or delegating it [12:44] to your team. Another question I get is, [12:45] "How long until I see ROI?" Well, it [12:47] depends on your client base. If you're [12:49] already running an agency with a few [12:50] clients paying retainer, you'll see time [12:53] savings within the first 30 days. You'll [12:54] be making more profit within 30 days, [12:56] guaranteed, real margin improvement by [12:59] day 60, and full operational [13:01] independence by day 90. If you're [13:03] starting from zero clients, that's a [13:05] different conversation. The system runs [13:07] whether you have one client or 28, but [13:09] you still need to go and get the [13:10] clients. The AI doesn't do that for you. [13:12] We're not promising leads here and we're [13:14] not closing deals for you. So, just a [13:17] quick honesty moment. This isn't a magic [13:19] button. Setting up a system like this [13:21] takes work. The 90 days of setup is [13:24] real. You're going to be in the AI [13:26] workspace training skills, reviewing [13:28] output, calibrating, and learning. The [13:30] work front loads. It's heavy at the [13:33] start so that in 90 days, you can sit [13:35] back and watch this thing do its magic. [13:37] By month four, you're working 10 hours a [13:40] week. that months one to three are real [13:42] work. Also, I just want to manage [13:44] expectations. This isn't for everyone. [13:46] If you don't have a network, if you've [13:48] never sold anything to a business [13:50] client, if you can't have a strategic [13:52] conversation with a CEO or a founder [13:54] without sweating, this isn't going to [13:55] fix that. We're not teaching you how to [13:57] start from absolute zero. We're showing [14:00] you how to build a fulfillment [14:01] infrastructure that lets you serve [14:03] clients without a team. It's a different [14:05] problem. If you're already running an [14:07] agency and you're stuck in fulfillment [14:09] hell, this is the easy button. If you've [14:12] tried to start an agency before and you [14:14] got tripped up by the delivery side of [14:15] it, not the sales side of it, this is [14:18] your second ticket. So, in the next [14:19] video, I'm going to talk about who this [14:21] is for, who it isn't for, and what it [14:24] actually looks like to install this [14:25] inside your agency. I'll walk through [14:27] the two paths I'm offering, the group [14:30] cohort, and the done for you one-on-one. [14:32] I'll reveal the pricing, the time [14:34] frames, what you get, what you don't. [14:37] And if you're thinking that you want [14:38] this, just tell me how it works. Well, [14:39] video three is the one. It'll be out in [14:41] a couple of days. So, from here, there [14:43] are two paths. Path one is just be [14:45] patient. Stay here. Wait for the next [14:47] video. Stay on the email list. Video [14:49] three is coming out in a couple of days. [14:51] And by the end of that, you'll have [14:52] everything you need to make a decision. [14:54] Path two, like a bunch of people have [14:55] already done. If you just want to get [14:57] moving, a few of you watching this video [14:59] right now have already made the call. [15:01] You don't need video three. You don't [15:02] need pricing. You just want me to [15:04] install this inside your agency for you. [15:06] There are still a small number of done [15:09] for you spots open at the time of [15:11] recording this video. Half of them have [15:14] already gone. I've got three left. So, [15:15] book a call with myself or Alan on the [15:17] team. The link's right near this video. [15:19] We'll just have a conversation and work [15:21] out if it's a fit. If it isn't, we'll [15:23] part ways as friends. And if it is, [15:24] we'll get to work. So, leave a comment [15:25] under this video and tell me what's the [15:27] part of the system that you want to see [15:28] more detail of. brand, voice, [15:30] onboarding, the skills. I read every [15:32] comment and I'll see you in a couple of [15:33] days in the final video. Let's get to [15:34] work.  📄 **Full text:** ![[Full Document Contents/Articles/$1M Year. No Staff. 10 Hours a Week.md|$1M Year. No Staff. 10 Hours a Week by YouTube]] ## Highlights - Aussie or American, whatever they are, the system learns it, even in Dutch, which I'll talk about in a moment. Skill number two is the ideal client profile and the content strategy. So, from the brand guide document, the AI builds out an ideal customer profile and a content strategy for the client. three months of content mapped out in advance with the themes identified, the pillar topics chosen, the search terms researched. This used to be a $5,000 engagement at least, and the AI does it in less than a few hours. Skill number three in my ([View Highlight](https://read.readwise.io/read/01krbpjnrat2vpfb1rbe3rjbk4)) - Tags: 👻 ai highlighted - agency is long- form blog writing. Every week for every client, the AI produces a 1500 to 2,000word thought leadership blog post. It's not an SEO play, but it is optimized for keywords because why wouldn't you? bound to the brand voice on strategy. The image is generated, the featured image for each blog post is generated and bound to the client's image style guide. The blog posts are written in a way that they're optimized also for LLMs and AI search. By Tuesday, it's drafted. By Thursday, it's QCed and ([View Highlight](https://read.readwise.io/read/01krbpjnrnwmj1bdszw4ej5fc2)) - Tags: 👻 ai highlighted - the time I get to spend with my kids. So, if the AI is doing all of this, what do you do all day as the agency owner? And this is the question that actually matters because the answer is the whole point of this conversation that we're having. You should be doing three things. One, you sign clients. You do sales, relationships, and networking. The AI doesn't do this for you, and frankly, it shouldn't. Humans buy from humans. You are the face. You are the person they trust. You're the one shaking hands and making a promise and putting your reputation on the line. ([View Highlight](https://read.readwise.io/read/01krbpjntpjfhzsm1dt5mx3010)) - Tags: 👻 ai highlighted