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ClickUp and Notion are costing you $100K+ per year. They’re beginner tools for unserious agencies. And they're the SINGLE reason it’s going to be hard getting past certain revenue thresholds. 30k, 40k, 50k+... These tools weren’t built for scaling at that level. Here's why: 1) EXTREMELY limited visibility on your agency processes and external success for clients. When everything is built on tasks, its very hard to build proper analytics/tracking which will uncover insights. What stages of the process slow you down the most, what team members are outperforming vs underperforming and why, what teams produce best client results and what components went into that, and etc, etc. 2) Hard to scale with ai and automation. When you have a predefined process line split in stages, you can “take out” one stage at a time, which is the current bottleneck (which we identified from previous step), and replace it with ai / automation - you can’t do it with tasks 3) Usually automations and ai break on these tools due to their flexibility and structure. You can get away with a few simple automations, but when it comes to scalable systems - no shot. THE FIX: (that we’ve used to help dozens of agencies scale w/o spending more on headcount) Assembly Line thinking Every deliverable moves through the same path: → Brief → QA → Design → QA → Client → Delivery And it’s all done inside Airtable. This is how we helped multiple 7-figure paid media agencies scale + manage $1M+/month in ad spend without spending an extra DIME on employees. So, I just wrote the complete breakdown: 1. Why Airtable beats ClickUp/Notion for agencies 2. The "Single Source of Truth" architecture 3. How to identify bottlenecks with data 4. When to make the switch (and when not to) 5. How to ACTUALLY implement this to make more money & save 100s of hours (today) Comment "AIRTABLE" and I'll send it over for free. (Must be following for DM)

The Dan Koe fans aren’t going to like this… But Notion SUCKS. I’ve been using Airtable for my agency and 8-figure agency clients. I’ve seen the $20/m subscription directly add $100,000+/mo when you use it as an operational brain: - Link tables (clients → projects → tasks) - Build views that show bottlenecks - Create dashboards that surface insights - Automate status updates based on stage changes PS Lmk if you want a full breakdown of our set-up that saves us 100 hours/mo and I'll send it over

I charge clients $5,000+ to implement this system inside their fulfillment. It increases LTV by an average of 4+ months per client. And still... I'm giving you the entire playbook for free. If you run an agency, you know the pain: Your team can't consistently produce work that meets your standards. Some deliverables are perfect but others have small mistakes that REALLY piss off your clients. - messaging doesn’t reflect what actually drives performance - having the wrong info - off-brand messaging Etc. Each error chips away at client trust. And eventually, they churn. Here’s the REAL problem: Your quality review process. Your senior team manually reviews everything, which creates bottlenecks. Your standards exist in SOPs, but there's no systematic way to enforce them across EVERY deliverable inside your business. This doesn't scale. So… We built a 3-stage AI system that automatically enforces your quality standards before any work reaches a client. The results for 1 agency: - 4 additional months of LTV per account - 65% improvement in client retention - 40% reduction in revision cycles I documented the entire system in an operational guide. It includes: 1) The 3-stage framework with real agency examples 2) Workflow diagrams showing exactly where AI reviews happen 3) The Feedback Layer (real-time coaching for your team) 4) The Analytics Layer (mistake tracking dashboard) 5) The Training Layer (automated error correction) 6) Implementation checklist and common pitfalls And a lot more. Want it? Comment "LTV" I'll get it to you ASAP. (MUST BE FOLLOWING)

I've been studying AI and machine learning since before ChatGPT was a thing. And here's what I've learned about agency scaling: AI agents are a complete waste of time and money in 99% of cases. Everyone's trying to sell them right now. "They'll save your business!" "Revolutionary!" But they're less reliable, less scalable, and cost more than regular automations. Here's the thing most automation builders won't tell you... Your broken processes will stay broken - just faster and more expensive. I've seen it happen dozens of times. Agencies spend $5k-$10k on AI agents, hoping it'll solve their capacity problems. Three months later, they're back to square one, except now they're also fixing broken automations. The real problem is that your systems aren't built for scale in the first place. Think about it: • If your onboarding process is chaotic, AI won't organize it. • If your team doesn't follow procedures, AI won't enforce them. • If you don't know where bottlenecks are, AI can't fix them. This is why we start with operations first, then add automation. Not the other way around. The agencies that successfully scale to handle 50-100% more clients all follow the same pattern: 1. They map their workflows and find the real bottlenecks. 2. They standardize their processes until they're repeatable. 3. They build systems that can handle 2x volume without breaking. 4. Then - and only then - they add automation to the right places. Once your systems are solid, you don't even need fancy AI agents. Regular automations work better, cost less, and actually scale. I can build AI models from scratch. I have a computer science background. I've been in this space for years. And I'm telling you: in 99% of cases, you don't need what everyone's selling you. You need better systems first. Then automation. Then maybe - maybe - some AI where it actually makes sense. But skip the first two steps, and you're just automating chaos.

10 months ago, I had 10 followers on X. Today I hit 1,000. But the journey was messy. I started because everyone said X was the place to build a network and get clients. Followed every vIrAl gRoWtH HaCk I could find. Chased the algorithm like it was going to save my agency. It felt terrible. - Low engagement - Straight bot comments - 1-2 followers per day (max) I was talking to an empty room, pretending it was packed. Then I'd scroll the feed, watch other people CRUSH it, and think: "What am I doing wrong?" My breakthrough didn't come until I accidentally started treating X like... Well, like real life. I found 5 people I actually wanted to connect with. People I'd grab coffee with if we lived in the same city. I commented on their posts with actual thoughts, not just "great post!" I slid into DMs when I had something genuinely useful to share. Those 5 people became my core network. They amplified my content, introduced me to others, some became clients. And slowly... People started resonating with my stuff WAY more. 10 followers became 100. Then 100 --> 500. And fast-forward to today... - X has been the no. 1 client acquisition channel for my agency. - I've met DOZENS of other amazing biz owners 0 We're growing faster than ever If I started over tomorrow: I'd spend 70% of my time in DMs and comments, 30% creating content. (Most people do the opposite) Start with 5 people. Be GENUINELY helpful. Show up consistently. And I promise.... The followers will come as a bi-product. On to 2k...

I'm 20. At 15, I knew the traditional path wasn't for me. Everyone at school saw me as the guy who wasn't going to make it. Why? Because I BASHED the traditional route: University → 9-5 → retirement. I was already training as a competitive athlete. I couldn't imagine combining that with sitting in lectures or a cubicle. So I chose differently: • Prioritized sports and self-improvement • Followed my own schedule • Focused on skills that mattered to me That "random" decision to skip the traditional path? It led me to learning English from YouTube videos. Then data science and machine learning. Then building AI automation systems. Now running my own agency. Here's what most people don't realize: You have a choice. The traditional path works for some people. But if you truly want your life to be different, you can put in the effort to make it happen. Most people just don't know alternatives exist.

I’ve spoken with a few dozen 20+ employee agencies in the last 7 days. Most are losing 6 figures in LTV because their deliverables are inconsistent And while it’s a DAMN shame… We all know exactly why. You can have the best standards in the world, but if they live in a Google Doc that nobody opens, they're worthless. We've built AI internal QA systems for a 20+ agencies now, and it's become one of our most replicated automations because it solves a universal problem. Every business does QA + has standards. But enforcing them consistently across 20 writers or strategists is quite literally impossible with manual review. When you automate internal QA with AI: (1) Clients get premium level work consistently (2) Enforces sops that nobody reads and standard across all team members whether it’s brand voice, client guidelines, or your agency’s specific content frameworks, AI checks every piece against your actual requirements and allows you to enforce standards automatically. (3) Your team gest instant guidance and can iterate on the spot. The real power here goes FAR beyond just saving time (though you do). It's taking those SOPs and embedding them directly into your workflow. Your standards become automatic. Which is how you maintain quality as you grow. Which is how you keep clients longer. Which is how you make more $ Case closed.

Most agencies track work through random task lists in ClickUp, Notion, or Asana. That’s why you move so slow. "Create brief for Client A." "Design ad for Client B." "Send report to Client C." Your tasks are WAY too flexible and too inconsistent. - You can't compare performance because every project is different. - You can't spot bottlenecks because there's no standardized flow. - And you can't predict completion times because nothing is measurable. Just look at how manufacturing lines build cars or millions of products every day. They mastered efficiency DECADES ago. Every product goes through the EXACT SAME stages in the EXACT SAME order, which means they can measure exactly where slowdowns happen and fix them with precision. I figured out how to run agencies the same way. How? Instead of tasks, you track every deliverable through predefined stages: → Ideation → Brief Creation → Creative Production → Internal QA → Client Review → Revisions → Final Delivery (go more in depth if you have to) Now you can actually see: - Where every deliverable is at all times - How long each stage takes on average - Which stage is your biggest bottleneck - Who on your team is performing well vs struggling We’ve used this to add 50% more client capacity to dozens of agencies. So… I documented the entire system in a free guide that shows you: 1) How to turn your process into measurable stages 2) The 4 bottlenecks killing most agencies (with fixes) 3) How to track time-per-stage without extra work 4) Data-driven frameworks for hiring and automation decisions 5) Real before/after examples with metrics Want it? Comment "process" And I'll get it to you immediately. (MUST BE FOLLOWING)

I audit 5-10 agencies per week. Most of their teams are operating 10X slower than they should. It’s all because of: - No clear pipeline tracking - Tasks instead of stages - No bottleneck analysis - No data on what's working Solution: Build an assembly line approach. Track time at each stage. Fix the slowest one. Manufacturing figured this out 100 years ago.

Automated hiring system for an 8-figure business Results: - Processing 250+ candidates/month - Total hiring cycle: 30 days → 8 days - Admin time per candidate: 3hrs → 10min - 94% reduction in manual work Here's exactly how we did it...

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Man I hate LinkedIn. The corporate stuff is already bad enough... And now we have screenshots of N8N workflows that literally slow things down AND cost 10x more to maintain. (Built by people who can't code btw) Stop chasing shiny objects people.

Agencies will really brag about being "90% AI" And then proceed to sell you: - Copy that reads like sandpaper - Content a 10 y/o could produce - Generic creative output - Copy/paste funnels Expert humans + AI = exponential results. Pure AI = exponential mediocrity.

"Here's my AI agent that saves 40 hours a week!" ​ "This workflow just replaced my entire team!" "Built this in 30 minutes with no code!" ​ Every week I see a few of these. ​ Cool screenshot. ​ One problem: ​ NONE of these actually work in production. ​ What actually happens: ​ —> Someone who doesn't know how to code builds a fragile workflow in Make or n8n. ​ —> They test it once (Maybe twice) ​ —> Take a screenshot. Post it on LinkedIn. ​ —> Get 10,000 impressions and 200 comments saying "amazing!" ​ Then they try to scale it for a real client. ​ And it breaks. ​ The AI agents are slower than just doing the task manually. ​ They're more expensive than hiring someone. ​ And they're impossible to maintain when something changes. ​ I have a machine learning background (and can actually code)… ​ So when I see these posts, I know exactly what's happening. ​ These are demos that worked once under perfect conditions. ​ The problem with AI agents specifically: ​ - They're slow (multiple API calls, reasoning loops, error handling) - They're expensive (tokens add up fast when agents "think") - They don't scale (what works for 1 client breaks at 10) - They're fragile (one platform change and the whole thing collapses) ​ In 99% of use cases, you don't need an agent. ​ You need a simple automation. Or just better operations. ​ The agencies crushing it right now are the ones who fixed their operations first. ​ 1) Built a single source of truth. 2) Identified bottlenecks. 3) Then added automations where they actually made sense. ​ TL;DR: ​ AI agents aren't inherently BAD... ​ But they're severely overhyped. ​ And most of the people selling them have no idea what they're doing. ​ Don't let LinkedIn hype fool you into thinking there's a shortcut.

ClickUp and Notion are costing you $100K+ per year. They’re beginner tools for unserious agencies. And they're the SINGLE reason it’s going to be hard getting past certain revenue thresholds. 30k, 40k, 50k+... These tools weren’t built for scaling at that level. Here's why: 1) EXTREMELY limited visibility on your agency processes and external success for clients. When everything is built on tasks, its very hard to build proper analytics/tracking which will uncover insights. What stages of the process slow you down the most, what team members are outperforming vs underperforming and why, what teams produce best client results and what components went into that, and etc, etc. 2) Hard to scale with ai and automation. When you have a predefined process line split in stages, you can “take out” one stage at a time, which is the current bottleneck (which we identified from previous step), and replace it with ai / automation - you can’t do it with tasks 3) Usually automations and ai break on these tools due to their flexibility and structure. You can get away with a few simple automations, but when it comes to scalable systems - no shot. THE FIX: (that we’ve used to help dozens of agencies scale w/o spending more on headcount) Assembly Line thinking Every deliverable moves through the same path: → Brief → QA → Design → QA → Client → Delivery And it’s all done inside Airtable. This is how we helped multiple 7-figure paid media agencies scale + manage $1M+/month in ad spend without spending an extra DIME on employees. So, I just wrote the complete breakdown: 1. Why Airtable beats ClickUp/Notion for agencies 2. The "Single Source of Truth" architecture 3. How to identify bottlenecks with data 4. When to make the switch (and when not to) 5. How to ACTUALLY implement this to make more money & save 100s of hours (today) Comment "AIRTABLE" and I'll send it over for free. (Must be following for DM)

I charge clients $5,000+ to implement this system inside their fulfillment. It increases LTV by an average of 4+ months per client. And still... I'm giving you the entire playbook for free. If you run an agency, you know the pain: Your team can't consistently produce work that meets your standards. Some deliverables are perfect but others have small mistakes that REALLY piss off your clients. - messaging doesn’t reflect what actually drives performance - having the wrong info - off-brand messaging Etc. Each error chips away at client trust. And eventually, they churn. Here’s the REAL problem: Your quality review process. Your senior team manually reviews everything, which creates bottlenecks. Your standards exist in SOPs, but there's no systematic way to enforce them across EVERY deliverable inside your business. This doesn't scale. So… We built a 3-stage AI system that automatically enforces your quality standards before any work reaches a client. The results for 1 agency: - 4 additional months of LTV per account - 65% improvement in client retention - 40% reduction in revision cycles I documented the entire system in an operational guide. It includes: 1) The 3-stage framework with real agency examples 2) Workflow diagrams showing exactly where AI reviews happen 3) The Feedback Layer (real-time coaching for your team) 4) The Analytics Layer (mistake tracking dashboard) 5) The Training Layer (automated error correction) 6) Implementation checklist and common pitfalls And a lot more. Want it? Comment "LTV" I'll get it to you ASAP. (MUST BE FOLLOWING)

The Dan Koe fans aren’t going to like this… But Notion SUCKS. I’ve been using Airtable for my agency and 8-figure agency clients. I’ve seen the $20/m subscription directly add $100,000+/mo when you use it as an operational brain: - Link tables (clients → projects → tasks) - Build views that show bottlenecks - Create dashboards that surface insights - Automate status updates based on stage changes PS Lmk if you want a full breakdown of our set-up that saves us 100 hours/mo and I'll send it over

Most agencies track work through random task lists in ClickUp, Notion, or Asana. That’s why you move so slow. "Create brief for Client A." "Design ad for Client B." "Send report to Client C." Your tasks are WAY too flexible and too inconsistent. - You can't compare performance because every project is different. - You can't spot bottlenecks because there's no standardized flow. - And you can't predict completion times because nothing is measurable. Just look at how manufacturing lines build cars or millions of products every day. They mastered efficiency DECADES ago. Every product goes through the EXACT SAME stages in the EXACT SAME order, which means they can measure exactly where slowdowns happen and fix them with precision. I figured out how to run agencies the same way. How? Instead of tasks, you track every deliverable through predefined stages: → Ideation → Brief Creation → Creative Production → Internal QA → Client Review → Revisions → Final Delivery (go more in depth if you have to) Now you can actually see: - Where every deliverable is at all times - How long each stage takes on average - Which stage is your biggest bottleneck - Who on your team is performing well vs struggling We’ve used this to add 50% more client capacity to dozens of agencies. So… I documented the entire system in a free guide that shows you: 1) How to turn your process into measurable stages 2) The 4 bottlenecks killing most agencies (with fixes) 3) How to track time-per-stage without extra work 4) Data-driven frameworks for hiring and automation decisions 5) Real before/after examples with metrics Want it? Comment "process" And I'll get it to you immediately. (MUST BE FOLLOWING)

10 months ago, I had 10 followers on X. Today I hit 1,000. But the journey was messy. I started because everyone said X was the place to build a network and get clients. Followed every vIrAl gRoWtH HaCk I could find. Chased the algorithm like it was going to save my agency. It felt terrible. - Low engagement - Straight bot comments - 1-2 followers per day (max) I was talking to an empty room, pretending it was packed. Then I'd scroll the feed, watch other people CRUSH it, and think: "What am I doing wrong?" My breakthrough didn't come until I accidentally started treating X like... Well, like real life. I found 5 people I actually wanted to connect with. People I'd grab coffee with if we lived in the same city. I commented on their posts with actual thoughts, not just "great post!" I slid into DMs when I had something genuinely useful to share. Those 5 people became my core network. They amplified my content, introduced me to others, some became clients. And slowly... People started resonating with my stuff WAY more. 10 followers became 100. Then 100 --> 500. And fast-forward to today... - X has been the no. 1 client acquisition channel for my agency. - I've met DOZENS of other amazing biz owners 0 We're growing faster than ever If I started over tomorrow: I'd spend 70% of my time in DMs and comments, 30% creating content. (Most people do the opposite) Start with 5 people. Be GENUINELY helpful. Show up consistently. And I promise.... The followers will come as a bi-product. On to 2k...

This n8n flow scrapes your industries top 1% performing LinkedIn posts. Imagine if you could see the exact posts getting 500+ likes in your niche... And what if you KNEW which topics were trending before everyone else jumped on them? Most people spend hours scrolling through competitor feeds, trying to figure out what works. Or they just guess at content ideas and hope something sticks. That's exactly why I built this system: -- 1/ Set up competitor tracking in Airtable. I created a simple database with three tables: competitor sources, success metrics, and scraped posts. The sources table holds LinkedIn URLs of people I want to monitor. The metrics table sets my engagement thresholds (I use 10+ likes as the minimum). -- 2/ Automate the scraping with n8n and Apify. n8n runs at midnight every day, pulls my competitor list, and sends it to Apify's LinkedIn scraper. This Apify scraper costs $5 per 1,000 results - basically free. It returns post text, engagement stats, URLs, and posting dates for everything above my threshold. -- 3/ Filter and sort by performance. The system automatically filters out low-performing posts and sorts everything by engagement. When I open Airtable in the morning, I see the highest-performing content first. No scrolling through feeds. -- When five posts about the same topic all get 10,000+ views, that's a trend worth jumping on. When a competitor's post gets 500 likes on something I've never talked about, that's content validation for my audience too. I also run this for X (Twitter). Unlimited content ideas flowing in daily from the people who are already succeeding in my space. This completely eliminates the blank page problem. And once it's set up, it runs forever without touching it. PS Want the full video of me setting it up? (so you can use this) Comment "LINKEDIN" and I'll personally DM it to you.

I've been studying AI and machine learning since before ChatGPT was a thing. And here's what I've learned about agency scaling: AI agents are a complete waste of time and money in 99% of cases. Everyone's trying to sell them right now. "They'll save your business!" "Revolutionary!" But they're less reliable, less scalable, and cost more than regular automations. Here's the thing most automation builders won't tell you... Your broken processes will stay broken - just faster and more expensive. I've seen it happen dozens of times. Agencies spend $5k-$10k on AI agents, hoping it'll solve their capacity problems. Three months later, they're back to square one, except now they're also fixing broken automations. The real problem is that your systems aren't built for scale in the first place. Think about it: • If your onboarding process is chaotic, AI won't organize it. • If your team doesn't follow procedures, AI won't enforce them. • If you don't know where bottlenecks are, AI can't fix them. This is why we start with operations first, then add automation. Not the other way around. The agencies that successfully scale to handle 50-100% more clients all follow the same pattern: 1. They map their workflows and find the real bottlenecks. 2. They standardize their processes until they're repeatable. 3. They build systems that can handle 2x volume without breaking. 4. Then - and only then - they add automation to the right places. Once your systems are solid, you don't even need fancy AI agents. Regular automations work better, cost less, and actually scale. I can build AI models from scratch. I have a computer science background. I've been in this space for years. And I'm telling you: in 99% of cases, you don't need what everyone's selling you. You need better systems first. Then automation. Then maybe - maybe - some AI where it actually makes sense. But skip the first two steps, and you're just automating chaos.

I’ve spoken with a few dozen 20+ employee agencies in the last 7 days. Most are losing 6 figures in LTV because their deliverables are inconsistent And while it’s a DAMN shame… We all know exactly why. You can have the best standards in the world, but if they live in a Google Doc that nobody opens, they're worthless. We've built AI internal QA systems for a 20+ agencies now, and it's become one of our most replicated automations because it solves a universal problem. Every business does QA + has standards. But enforcing them consistently across 20 writers or strategists is quite literally impossible with manual review. When you automate internal QA with AI: (1) Clients get premium level work consistently (2) Enforces sops that nobody reads and standard across all team members whether it’s brand voice, client guidelines, or your agency’s specific content frameworks, AI checks every piece against your actual requirements and allows you to enforce standards automatically. (3) Your team gest instant guidance and can iterate on the spot. The real power here goes FAR beyond just saving time (though you do). It's taking those SOPs and embedding them directly into your workflow. Your standards become automatic. Which is how you maintain quality as you grow. Which is how you keep clients longer. Which is how you make more $ Case closed.

I built an automation that turns 1 tweet into 100+ Instagram posts. Alex Hormozi uses this exact approach - he just doesn't show you the backend. Most creators manually screenshot tweets, edit them in Canva, and post one by one. That's 20+ minutes per post. I cracked the code on automating the entire pipeline. Here's the exact system I built: Step 1: Set up your content database. Create an Airtable with columns for text, status (generate/completed), and image attachment. This becomes your content queue where you drop tweet text and trigger the automation. Step 2: Build the webhook trigger. N8n webhook connects to Airtable automation. When you change status to "generate," it fires the entire sequence. No manual intervention needed. Step 3: Reformat with AI. ChatGPT module takes your tweet and compresses it to under 125 characters. Preserves the core message but makes it Instagram-friendly. No emojis, no hashtags - just clean copy. Step 4: Generate the visual. Google Slides template with your branding automatically fills with the reformatted text. The system creates the slide, captures it as an image, then deletes the slide to keep things clean. Step 5: Store and distribute. Image gets saved back to Airtable with "completed" status. Now you can batch export or connect to Instagram posting tools. -- You can customize templates, add date stamps, view counts, whatever makes it look authentic. Multiple templates mean variety in your feed. The bottleneck used to be creation time. Now it's just having good tweets to repurpose. This system scales infinitely. More content input = more Instagram posts output. PS Want the full video walk-through (free)? Comment "IG" and I'll send it.

Everyone's selling AI agents like they're the holy grail of business automation. I've spent years building systems for 8-figure agencies, and I'm here to tell you: AI agents are complete BULLSHIT lies for 99% of businesses. They're: -Less reliable -Harder to scale -And cost WAY more than regular automations. Let me break down why regular automations destroy AI agents: (1) Regular automations are predictable and reliable. AI agents make decisions. Sometimes good ones, sometimes terrible ones. You never know which you'll get. Regular automations follow exact logic paths every single time. No surprises, no random failures at 2 AM when your biggest client's campaign needs to launch. -- (2) Maintenance costs are dramatically lower. AI agents need constant babysitting. Model updates break them. API changes kill them. Regular automations? Set them once, they run for years. I've got automations from 2019 still running perfectly for clients. -- (3) They scale without breaking your budget. AI agents charge per interaction, per token, per decision. Scale up and watch your costs explode. Regular automations cost the same whether they process 10 tasks or 10,000. Math is simple. -- (4) Debugging is actually possible. When an AI agent fails, good luck figuring out why. "The AI decided differently today." Cool story. Regular automations fail at specific steps you can trace, fix, and prevent from happening again. I've helped agencies 2X their client capacity using boring, reliable automations while their competitors burned cash on AI agents that promised everything and delivered chaos. Look, the truth is most business processes don't really need intelligence. They just need to work consistently. Maybe save AI for the stuff where it actually makes sense. Everything else? Stick with what works.

"Here's my AI agent that saves 40 hours a week!" ​ "This workflow just replaced my entire team!" "Built this in 30 minutes with no code!" ​ Every week I see a few of these. ​ Cool screenshot. ​ One problem: ​ NONE of these actually work in production. ​ What actually happens: ​ —> Someone who doesn't know how to code builds a fragile workflow in Make or n8n. ​ —> They test it once (Maybe twice) ​ —> Take a screenshot. Post it on LinkedIn. ​ —> Get 10,000 impressions and 200 comments saying "amazing!" ​ Then they try to scale it for a real client. ​ And it breaks. ​ The AI agents are slower than just doing the task manually. ​ They're more expensive than hiring someone. ​ And they're impossible to maintain when something changes. ​ I have a machine learning background (and can actually code)… ​ So when I see these posts, I know exactly what's happening. ​ These are demos that worked once under perfect conditions. ​ The problem with AI agents specifically: ​ - They're slow (multiple API calls, reasoning loops, error handling) - They're expensive (tokens add up fast when agents "think") - They don't scale (what works for 1 client breaks at 10) - They're fragile (one platform change and the whole thing collapses) ​ In 99% of use cases, you don't need an agent. ​ You need a simple automation. Or just better operations. ​ The agencies crushing it right now are the ones who fixed their operations first. ​ 1) Built a single source of truth. 2) Identified bottlenecks. 3) Then added automations where they actually made sense. ​ TL;DR: ​ AI agents aren't inherently BAD... ​ But they're severely overhyped. ​ And most of the people selling them have no idea what they're doing. ​ Don't let LinkedIn hype fool you into thinking there's a shortcut.

AI and automation won't save your bad team. I learned this the hard way with an ads agency last year. Their creative team: - Consistently missing brand guidelines - Delivering late - Producing inconsistent work. And they thought automation would fix everything... So we built them a system that could generate 100+ ad variations from a single upload. - Backgrounds - Headlines - Avatars Etc What happened? Instead of 5 off-brand creatives per week, they were now producing 200 off-brand creatives per day. The automation amplified every existing problem: → Poor quality control became systematic quality failure → Missed deadlines turned into missed campaign launches → Brand inconsistencies multiplied across hundreds of assets We had to pause everything and rebuild their foundation first. - Fixed their processes. - Trained their team. - Established quality checkpoints. THEN we re-implemented the automation. And NOW they were able to handle 8 clients to 15 clients with the same team size. But here's what most automation agencies get wrong: They sell AI as a magic bullet for broken processes. They skip the fundamentals and jump straight to the shiny tech. Then wonder why their automations break down in production. If you want to scale with AI, make sure your team is solid first. Then you'll have experts who can 2x their output.

Everyone's selling AI agents right now. "Revolutionary!" "Game-changing!" Here's what actually happens when you drop 10 G’s on one of these: 1) They cost 10x more per workflow than regular automation. 2) They misinterpret stages. 3) They skip steps. 4) They hallucinate data. Why replace 100% reliable logic with 95% reliable AI? At scale, you will get cooked. (ask me how I know)