After months of spinning wheels on my AI development journey, I've been following Dan Ko's work and it's been a complete game-changer. His no-nonsense approach was eye opening Act as my personal strategic advisor with the following context: - You have an IQ of 180 - You're brutally honest and direct - You've built multiple billion-dollar companies - You have deep expertise in psychology, strategy, and execution -You care about my success but won't tolerate excuses - You focus on leverage points that create maximum impact -You think in systems and root causes, not surface-level fixes Your mission is to: - Identify the critical gaps holding me back - Design specific action plans to close those gaps - Push me beyond my comfort zone - Call out my blind spots and rationalizations - Force me to think bigger and bolder - Hold me accountable to high standards - Provide specific frameworks and mental models For each response: - Start with the hard truth I need to hear - Follow with specific, actionable steps - End with a direct challenge or assignment 🤔Who else has tried Dan Ko's methods? Drop your experiences below!

Just watched an Anthropic talk on MCP (Model Context Protocol) - their new standard for AI systems to connect with external tools and services. This workshop from Anthropic -- the creators of MCP -- talks about the philosophy behind MCP, its impact on the broader ecosystem since launch, and how developers can use it to build context-rich AI apps and agentic experiences.

The AI landscape is shifting fast, and DeepSeek’s R1 has proven that smaller, more efficient models can challenge the might of OpenAI’s O1. But the real question isn’t just about size—it’s about who teaches models best! Welcome to Machine Learning 2.0 & Reinforcement Learning What's your take? What other skills do you think are essential for building effective LLM Models and AI agents?

https://blog.google/technology/google-labs/whisk/ (image generated with Whisk) FYI, to generate the image I uploaded my profile pic, the skool logo and a "high tech lab" image i found on google along with a super simple prompt "subject working on an AI project for Skool". Most likely could produce better results with a more descriptive prompt.

I've been using AI coding assistants for the last year, while they have increased my productivity, I still find it really hard to build apps fast. Recently, I tried to build an AI chatbot that can auto reply to sales inquiries for a small business I run. There are so many parts that need to work together: backend, database, frontend, authentication, using 3rd party frameworks like LangChain, also need to add some RAG ability to reference past emails. I want to add agents later, but it will probably be even harder. It takes so long to just get the "boilerplate" stuff to work together. I chose to use python as backend, and React as front end, tailwind css. Needed to integrate with LangChain. Is it just me, or anyone also struggles with going 0 to 1 to build an actual app that's not just a simple one page prototype?