Hi everyone, Has anyone built out any useful automations when it comes to personal or professional development? It's great seeing new CRM and voice agent builds, but I'm more interested in builds that have impacted your personal life. I built out a daily journalling automation for my personal development, as well as a podcasting generation automation for my professional development. I'm curious to know if anyone has built out anything interesting outside of the business side of things and is open to discussing. Feel free to DM me if you'd like to try out either of these automations I've built :)

With the rapidly evolving space of AI, it can be difficult to keep up with all the different available LLMs. While most of us were introduced to the technology through OpenAI's ChatGPT, there are still many of us that are unaware of the functionalities and use cases of other LLMs. It becomes especially difficult when every week we hear new news about ChatGPT or Gemini, Deepseek and even Claude. Claude has really been pushing to be the LLM leaders in coding, with the release of their new Claude Sonnet 4 model. While the previous Claude Sonnet 3.7 model had taken the industry by storm, its imperfections, as with all technologies and LLMs, began to slowly reveal themselves. From all the demos on X showing Claude one-shot prompting entire apps, people were really starting to believe the hype and try it out for themselves, eventually finding out that one of Claude's major weaknesses was being overly technical and at times negatively impacting the functionality of its designs. However, with the recent release of Claude Sonnet 4, the Claude system prompt was leaked as well. This is my NotebookLM link that I used to help me understand the topic better: https://notebooklm.google.com/notebook/564a48c3-f4f9-42b6-a769-3ee85fa5b2d2 Feel free to engage it and make changes to best suit your learning style. Enjoy this breakdown and let's discuss your thoughts on understanding how the system behind Claude really works!

I kept hearing “just post value,” but no one could explain what that actually looks like. So I started asking this before posting: “Would someone save this or share it with a friend?” Since applying that filter, we’re seeing more saves, longer watch time, and actual replies from cold viewers. "Value" isn’t about length or effort. It’s about usefulness. What’s your personal filter before you hit publish?

OpenAI just shared the official GPT-4.1 Prompting Guide with practical tips to improve your prompts and handle complex AI tasks. It covers Agentic Workflows – guiding multi-step reasoning Long Context – using the extended context window Chain of Thought – step-by-step reasoning Instruction Following – clearer task interpretation Prompting Tips – structure, formatting, token management Read it here https://cookbook.openai.com/examples/gpt4-1_prompting_guide Let me know how you’re using this.

Kling 2.1 will be released in just a few days, and it looks like one of the most serious competitors to VEO 3 so far. Based on early previews, it promises improved output quality and a more competitive pricing model. Many creators are watching this closely, especially those working with text-to-video and image-to-video tools. The comparisons between Kling 2.0 and 2.1 already show noticeable upgrades. There’s also some news about VEO 3 pricing that could make this matchup even more interesting. Have any of you seen previews or have plans to test Kling 2.1 when it’s out? Let’s discuss what this means for the future of AI video creation.