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For Beginners: Prompts vs. Plugins vs. Skills vs. MPCs vs. Hooks
I made a post about the differences using the travel industry as an example. https://www.skool.com/ai-n8n-automation-collective-8312/classroom/0f6d59ad?md=bb3887e9c6d04a86886368fe293d21f8 As always, feel free to provide feedback.
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START HERE! Activity Tracker
You can't start automating if you don't know what to automate. 1. Use the below template to track what you do each day: https://docs.google.com/spreadsheets/d/1j4O_4UGqPvrGPRTygecagRxosbvjxpsQE8ivwCZdwn0/copy 2. Once finished, throw it into the LLM with the following prompt: "As an AI expert, help me find ways to leverage AI and automation to make my operations more efficient and free up my time. For the initial delivery, review the attached activity tracker of what I do during the day. Based on this, come up with the following: 1. Pain summary - One or two sentences summarizing my pain points and bottlenecks 2. Outcome - Two or three sentences summarizing areas for improvement and estimated time (hours a week) that I can reclaim and estimated financial impact. 3. List of recommended solutions to achieve the outcomes mentioned in 2, including estimated costs for each. 4. A 4-day quick win plan on how the venue and its personnel can implement some (or all) of the recommended solutions" 3. Start automating! Bonus Tip: If the activity tracker is going to be too much work, have a voice chat with your favorite LLM instead and have it ask you what you do on a daily basis. Sample prompt: "As an AI expert, you are to help me find ways to leverage AI and automation to make my operations more efficient and free up my time. For the initial delivery, have a 10 minute voice chat with me asking me various questions about what I do each day based on achieving the below outputs. Based on chat, come up with the following: 1. Pain summary - One or two sentences summarizing my pain points and bottlenecks 2. Outcome - Two or three sentences summarizing areas for improvement and estimated time (hours a week) that I can reclaim and estimated financial impact. 3. List of recommended solutions to achieve the outcomes mentioned in 2, including estimated costs for each. 4. A 4-day quick win plan on how the venue and its personnel can implement some (or all) of the recommended solutions
Voice Agent Idle Drain.
Your Vapi and Retell setups are breeding Sugar Daddy Agents that bleed your margins dry. You are paying per minute for every idle second while suffering from a massive Black Box . You deploy a voice agent to qualify leads and assume it is successfully pushing them through your GHL and n8n pipeline. But you cannot tie those soaring API costs directly to booked meetings or measurable Agentic ROI. Stop flying blind and implement true Pipeline Accountability to generate an accurate Burn Rate Forecast. secure your infrastructure today.
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Controversial: AI won't replace copywriters
Controversial: AI won't replace copywriters. But copywriters WITH AI templates will replace those without. The leverage isn't the AI — it's having a proven structure to work from. I've tested this across dozens of automations and the same principle applies: it's not the n8n workflow that wins, it's the underlying framework. What's your take?
"Second Brain" Set Up
There's been a lot of talk about "Second Brain" in the AI-sphere lately. The concept itself is simple: PROBLEM: We spend hours a day looking through existing data/decisions/notes/prompts/chats to find the answers we're looking for. i.e. What was the take away Jane mentioned in one of our most recent meetings? *Scrolls through notes apps, emails, etc. wasting 20 minutes* SOLUTION: A "brain" that has access to all our data/decisions/notes/prompts/chats so an AI agent can be the librarian for your data. i.e. What was the take away Jane mentioned in one of our most recent meetings? *AI agent tells you in 5 seconds* For beginners: See a step-by-step guide here. For advanced practitioners: See Nate Jones' Github Repo
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