Im 22 Building something in Ethiopia.
And somewhere in between the code, late nights, and startup chaos, me and my co-founder @BetreYosef are building something of our own.
Still early. Still hungry. Let’s see where this goes.
Im 22 Building something in Ethiopia.
And somewhere in between the code, late nights, and startup chaos, me and my co-founder @BetreYosef are building something of our own.
Still early. Still hungry. Let’s see where this goes.
Introducing AITA (Am I The A**hole)
inspired by a huge fight I had with my girl, AITA takes in the fight, asks questions and gives a verdict on if you were the a**hole or not. It also tells you what you can do better based scientific psychological literature.
(P.S the screenshot is a famous fight from Friends. And yes, Ross was in fact the a**hole)
5/ The outcome: prompt engineering that's reproducible, auditable, and scalable, backed by the Linux Foundation and fully open source.
Read more: https://t.co/wYKLa9FVoJ
#MLOps#LLMOps#AI#PromptEngineering
1/ Prompt engineering has a scaling problem. Manual tweak-and-check works for one prompt. It falls apart across 10 or 100 LLM features.
MLflow's new Prompt Optimization framework fixes this by automating the entire loop. 🧵
4/ This isn't a one-off tool. It works with any agent framework (LangChain, LangGraph, CrewAI, OpenAI Agents SDK) and any LLM provider, meaning optimization becomes a repeatable part of the workflow, not a special project.
YOUR AI AGENT CAN NOW COLLECT DATA FROM ALMOST ANY WEBSITE
X, YouTube, Reddit, random websites, basically whatever you need for research, analytics or monitoring.
Here are 3 GitHub tools that let your agent pull the data for you.
1. Agent-Reach
https://t.co/xTeLRWUS9H
Bundles tools for working with different platforms in one place.
X, YouTube, Reddit, GitHub and more.
2. Patchright Enhanced
https://t.co/5Wrq7V40cV
Works through the browser with Playwright.
You can listen to the requests a website makes and pull the data you need through a script.
So if a website doesn’t have a proper API, you still have a way to get the data.
3. Scrapling
https://t.co/u0vEdW9YcZ
A general purpose tool for pulling data from web pages.
And the best part is that you can give all of this to your AI agent.
For example:
“Collect posts from 100 X accounts from the last month, find the most popular topics and analyze what’s working.”
Or:
“Collect reviews about this product from Reddit and YouTube and summarize the main complaints.”
You tell the agent what data you need → it writes the code → collects the data → gives you the result.
Basically, you’re giving your agent the ability to pull data from almost anywhere on the web.
That opens up a whole different level of stuff you can automate.
I came across a cool idea on YouTube about why extreme events happen, did a bit of research and wrote a simple article about it.
https://t.co/Xz8XRW94mk
To get anything of value, you have to sacrifice. The harder thing to do and the right thing to do are usually the same thing. Nothing that has meaning is easy. Easy doesn’t enter into grown-up life.