who need help with mobile app or website development, debugging, AI/ML, Agent, bots, automation, SAAS or ai training? Feel free to comment your questions or challenges in this post. I’d be happy to discuss your requirements, exchange ideas, and help you work through problems. Please include relevant details so we can have a productive discussion!

I wanted to share a quick perspective on something that has drastically shifted my income over the last few months. Like a lot of people here, I’m always keeping an eye out for tech adjacent side income, but I stumbled into the AI data annotation space and the numbers have been honestly eye opening. I’ve been actively working across a few platforms specifically DataAnnotation, Snorkel, and Handshake. Coming into it, I was skeptical. We’ve all seen the low tier micro task sites that pay pennies. But because these specific platforms are training LLMs on complex reasoning, coding, and high level writing, the hourly rates for US-based freelancers are surprisingly substantial. The best part isn't just the money, though, it’s the absolute autonomy. I log on whenever I feel like it, work straight from my laptop, and pick the projects that actually interest me. Seeing how much corporations are pouring into AI development right now, it makes complete sense why they are paying a premium for quality human evaluation. It takes a lot of focus and sharp critical thinking to pass the initial assessments and keep getting high paying tasks, but the financial payoff has made it completely worth it. It’s wild to me that more people in the tech community aren't leveraging this right now. Curious if anyone else here is actively doing LLM training or prompt engineering evaluation? I'd love to compare notes on project availability, or fill in anyone who is trying to figure out how to break into the higher tier platforms.

World Map (incomplete) This is the first public year end review for Plinko Solutions, talking about our last year as a AI Automation Agency turning into a Learning and Development Service. Built with 3-D World Map Builder with many consultants over many months. This is an unfinished project as most of the content will get richer within this and more reflective of the hundreds of notebooks I've amassed over my career building. Business is a game worth playing, and having an interactive visual experience for doing so should be fun, and worth playing. Having a world built around you for LLMs to consume shortcuts an unbelievable amount of expensive context a business would spend. As Multiplayer AI grows, agency services and experiences become a .zip file I can share with your agents on our mutual workspace, turning multi-month projects into days and minutes. No matter your world of business, your experience of AI for Business and money making will fundamentally improve by having a world built around it. Rather than pitching this, I'm doing it for myself around services I've seen product-market-fit and are producing real world money opportunities. You do not have to offer your own AI services to benefit from this. This is the first exclusive year end video for Open Campus. There will be a second uploaded that will be reserved for the first 500 members, breaking down exact financial success I've seen that's repeatable. Currently accepting promotional opportunities to participate in this as I'm looking to build a gallery showcase of working AI services and how you can add revenue to your monthly take-home without being overly entrepreneurial. By taking your understanding of how to create Agentic systems without code that reliably move the needle for business owner/operators. Packaging it into an offer

A terminal harness dies when you close the laptop. This lecture is the next step: an agent that keeps working after you leave. Lee Robinson (ex-Vercel, ex-Cursor, now SpaceX) walked Stanford CS146S through how Grok Bot is built. About 45 minutes. The useful part is not the product. It is the harness pattern underneath it. Always-on does not mean the model thinks 24/7. The server and the cloud computer sleep. A message, a communication ping, an email, a meeting, or a routine wakes it, loads state, runs one turn, saves, and goes back to sleep. Four eras, in his framing: 1. Copy-paste out of chat into an editor 2. A model that can edit files and run shell in a loop 3. Many agents in parallel, with you still approving every command 4. Always-on agents that run in the background, with their own computer and memory His close is the part that matches what we are building here. Assume today's models are the worst they will ever be. Build as little product as you can get away with. Write the process down so an agent can run it. The new primitives (durable workflows, sandboxes, memory, skills, evals) are the stack, not another chat box. If you only have 10 minutes: start at the harness section, around 18:00. The context-engineering section at 27:00 is the one that will change how you run your own agents. What are you still approving by hand that a quiet background agent should already own?

Hello, I have been working in the field of software engineering for several years. I specialize in AI automation, LLM agents (such as OpenClaw), and prompt engineering, with a focus on building new AI agents and SaaS solutions. By mastering the latest trends in model training, I am able to utilize and manage multiple agents simultaneously, significantly maximizing productivity. I am particularly skilled in the use of coding agents; I possess deep expertise in prompt optimization, ensuring task continuity and accuracy, as well as implementing self-testing, self-reinforcement, and learning mechanisms for these agents. I am capable of independently fulfilling multiple roles including architect, coder, engineer, and tester all at once. Furthermore, I conduct in-depth research into the strengths and limitations of state-of-the-art models such as Codex, Claude Opus, Fable, and Gemini as well as the complex, unresolved challenges inherent in these systems. Addressing these issues is a core aspect of my work in model training and the development of AI agents. If you are considering hiring for this field, I am open to working with you starting with a part-time role and potentially transitioning to a full-time position. I have no restrictions regarding scheduling or language, and I am confident in my ability to deliver results that exceed your expectations.