Elias Schlie

There’s never been a month in my life where I worked this much!

Quick Stats 📊

⏱️ Total focused work: 316 hours and 39 minutes
🗓️ That’s an average of 10 hours and 12 minutes every single day (weekends included!)

💾 If you’re curious (or don’t believe me), I publishing the full CSV of my time tracking app here — so you can see exactly what I worked on, hour by hour.

What I spent my time on 🎓

The bulk of my time went into courses. Notably:

• 📚 Harvard’s CS50 (Computer Science + Python Programming)

• 📖 Introduction to Biology

• 🤖 A bunch of courses for my university (where I study AI) 

I also took some time to get clear on how I want to approach learning about longevity — mainly by diving deep into the LBF website and watching Mark Hamalainen’s talk: Longevity Roadmaps.

Main Achievements 🏆

✅ Completed nearly a whole semester at university in just one month — with grades like 9, 9.5, 9.5, and 10 (in the Dutch system, 10 is the absolute highest, so these are 🔥)
✅ Felt like I 10x’ed my biology knowledge this month — to the point where listening to longevity talks no longer feels like they’re speaking a foreign language
✅ Completed a 7-day fast — which was incredible!

I don't want to repeat my self, but there’s never been a month in my life where I worked this much!

Quick Stats 📊

⏱️ Total focused work: 298 hours and 19 minutes
🗓️ That’s an average of 10 hours and 39 minutes every single day (weekends included!)

💾 If you’re curious (or don’t believe me), I publishing the full CSV of my time tracking app here — so you can see exactly what I worked on, hour by hour.

• 1️⃣📚Read & studied "Molecular Biology of the Cell" (Alberts 2022) for 100 hours

• 2️⃣👨‍💻 100 hours of CS50 AI & Computer science (Harvard University)

You can get more of a view into my life in the video 😁

I call this month "Machine Learning March": I built a Linear Regressor, a Logistic Regressor, a Decision Tree, and a Neural Network completely from scratch without ML libraries. (check it out here)

Quick Stats 📊

⏱️ Total focused work: 325 hours and 30 minutes
🗓️ That’s an average of 10 hours and 30 minutes every single day (weekends included!)

💾 If you’re curious (or don’t believe me), I publishing the full CSV of my time tracking app here — so you can see exactly what I worked on, hour by hour.

• 1️⃣🤖100 hours of learning about Machine Learning

• 2️⃣🧬 68 hours of reading "Molecular Biology of the Cell" - Burce Alberts

• 3️⃣🧑‍💻 University Exams

  • 🥷 Advanced Programming

  • 🔢 Data Structures and Algorithms (10/10)

  • 🧠 Cognitive Neuroscience (99,17%)

  • 🔤 Computational Linguistics

You can get more of a view into my life in the video 😁 (or the podcast version)

There’s never been a month in my life where I worked this much!

Quick Stats 📊

⏱️ Total focused work: 342 hours and 59 minutes
🗓️ That’s an average of 11 hours and 12 minutes every single day (weekends included!)  🤯

💾 If you’re curious (or don’t believe me), I publishing the full CSV of my time tracking app here — so you can see exactly what I worked on, hour by hour.

What I spent my time on 🎓

The lion’s share of my time went into university courses. I completed 8 full courses this month (5 courses make a semester):

• 🧑‍💻🥷 Advanced Programming

• 🧠 Cognitive Neuroscience

• 👨‍🎓🤖 Introduction to Machine Learning

• 🎤💻 Computational Linguistics

• 🚗🤖 Autonomous Systems

• 👨‍⚖️🤖 Ethics of AI

• 💾 Data Structures and Algorithms

• 🧠🤖 Introduction to Deep Learning

Main Achievements 🏆

✅ Set a new personal record: 84 hours of focused work in a single week

✅ Completed nearly two full semesters worth of coursework

The Month I Started Building

Quick Stats 📊

⏱️ Total focused work: \~300 hours

🗓️ That’s 9 hours and 49 minutes every day (including weekends)

💾 Full work log published at [https://github.com/EliasSchlie/Working\_Hours](https://github.com/EliasSchlie/Working_Hours)

What I spent my time on ⚡

* Finished exams for 9 university courses in Cognitive Science & AI (across three different semesters)

* Deep work on AI agents, automation, and building new tools

* Built foundational scripts for automating my note-taking (Obsidian) with LLMs and tools

* Explored and prototyped AI agents for science (especially agents to automate news & paper summarization)

* Researched and learned more about AI agent architectures and how to use tools/APIs for automation

* Started serious learning in JavaScript/TypeScript and web development (CS50 Web, JavaScript fundamentals course)

* Continued refining systems for both learning and building

Main Achievements 🏆

✅ Completed 9 courses in about a month, with top or near-top grades in multiple cohorts

✅ Built the first versions of AI agents to automate my note-taking and science workflows

✅ Prototyped a system to automatically create and publish longevity science podcast episodes from new research papers

✅ Developed and used structured note-taking, now over 10,000 notes (“second brain”)

✅ Shifted from pure learning mode to building mode, exploring new personal systems for productivity

✅ Stayed consistent with high work hours, while keeping balance with gym, sauna, and friends

✅ Maintained strong intrinsic motivation—doing exactly what I’d do even if given €1 million

Quick Stats 📊

⏱️ Total focused work: 288 hours and 46 minutes
🗓️ That’s an average of 9 hours and 57 minutes every single day — weekends included!
💾 Full breakdown publicly available here: https://github.com/EliasSchlie/Working_Hours

What I spent my time on 🧠

• 🚀 Deep dive into AI agents and language model tooling (esp. langchain + agents)

• 🧪 Built a custom MCP server to connect LLMs with Obsidian for persistent memory scaffolding

• 🧭 Personal reflection on direction, meaning, and intrinsic values (inspired by valuism)

• 💬 Developing systems for better conversations and group dynamics

• 📚 Listening to high-signal content during breaks to stay immersed in key problems
  
  

Main Achievements 🏆

✅ Built and shipped my own MCP server — clean, simple, and powerful
✅ Reached a new level of clarity on what I value and why it matters
✅ Used fasting as a powerful tool to reset and return to deep focus
✅ Refined my approach to learning through better break design and structured reflection
✅ Pushed physical + mental boundaries with a 50h fast + night hike — reminder of agency over mind and body