How I Automated 80% Of My Days Under €100/month (The Stack)

Here’s the stack I used to automate 80% of my daily tasks. I’ve saved 3-4 hours a day and pay less than 100eur per month.

⭐️ My MUST-HAVES

(Sticking to 3 to keep things simple)

1. Mindstudio (bit harder): Create full-blown automations. Automate all your mundane tasks (sales collateral, review HR applications, optimize budgets, research, communication and more)

• High-ish difficulty/time investment

• Getting started: Here’s a good tutorial 

• Note: My recommendation is to create a list of ALL your weekly tasks. Then rank them by how annoying/impactful and easy-to-get-an-AI to help. Then start with the top of the list

2. Replit or Bolt: : Build mini apps in seconds, co-create with an agent. Take 2 hours to test it out!

• Medium difficulty/time investment

• Getting started: No tutorial needed, just start playing around with it.

• Note: The AI agent (Replit Core) is a paid feature. If you want a free option you’ll need to use Aider Chat. See tutorial here or here

3. Raycast (easy): Talk with all LLMs at the same time + the ultimate productivity tool)

• Low difficulty/time investment

• Getting started with this video then check out the AI functions here

• Note: Mac only sorry. 

Here’s what my screen looks like:

⛔️ Before jumping into all the other tools…. Learn the foundations of course:

👩‍🎓 Things To Read/Watch/Learn

1. Obviously take a Growth Tribe AI Course. Learn EVERYTHING from the necessary fundamentals to advanced AI strategy and skills.

2. Understand the Fundamentals of LLMs and Transformers

   1. How Large Language Models Work

   2. What are Transformers (Machine Learning Model

3. Read these reports on the impact of GenAI.

   1. This report by McKinsey

   2. This report by Anthropic

   3. Select from these reports

4. Understand current transformer models don't have persistent memory, don't have common sense, can't plan actions and are basically predictive models

5. Dive a bit deeper in prompting (yes again, it's important)

   1. Watch this

   2. No time? This is also good

🛠️ Other Tools I Use Regularly (COULD HAVE)

• NotebookLM: To turn super big reports into customized podcast episodes I can listen to

• Relume to build landing pages (also streamline my thoughts)

• Artificial Analysis Compare LLMs. Independent analysis of AI models and hosting providers

• LMArena Play around with all LLMs and compare output side by side

• Make.com MUST HAVE for task automation: build semi-autonomous worklflows

• Synthetic Users: Conduct 'synthetic' customer interviews that mimic real life

• NotebookLM Upload documents, chat with them

• Napkin to create visuals rapidly from text

• Gamma Create a presentation

• HeyGen To create my online video avatar

• Opus to edit video clips for my Linkedin in minutes (alternatively Descript)

• Perplexity Run multi-threaded research

• Claude artefacts (Sonnet 3.5) to turn PDFs into interactive reports (by Anthropic) >> upload a report, ask it to be turned into a dashboard

• Uizard to Prototype a new user onboarding flow in seconds

• Juicebox Use normal language to generate advanced search queries in Linkedin 

• Workera’s Skill Map AI Diagnosing your teams' or organisational' skills gaps

• Framer’s AI Tools Build a beautiful and editable landing page or website (absolutely amazing and delicious)

• Comfyui Manage a full image/video generation workflow with 

⚠️ Take The risks Into Account:

• Inaccuracy/hallucinations in generative AI outputs 

• Risk of intellectual property infringement when uploading data = Risk of inputting personal data or proprietary organizational information into SaaS platforms with poor information security and data privacy practices.

• Risk of cybersecurity breaches due to vulnerabilities in generative AI systems (we still haven’t solved prompt injections)

• Risk of personal/individual privacy violations 

• Careful with non-compliance with regulatory requirements 

• lack of explainability in generative AI models affecting transparency

• Risk of inequity and fairness issues arising from biased generative AI algorithms 

• Risk of damage to organizational reputation due to genAI failures 

• Risk of workforce labor displacement due to automation by genAI  

• Risk of environmental impact from the energy consumption of generative AI 

• Risk of political instability influenced by generative AI-generated misinformation

• Clear things with security or compliance folks at your org first :) 

PS: For more stuff like this, just follow me on Linkedin

david

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