Running AI agents in parallel gives a different high altogether. Recently, I've been at the start of multi-tasking, working on multiple projects, all at once. Gotta manage my own attention span more than the context window of AI 😌 Who would've imagined times would change to such an extent? But I guess, I'm glad we're here!

Revenue generation is one of the most important aspects of any business. Without it, you don't have a business, but a hobby. And I see many businesses struggling with having a consistent pipeline for finding new clients. And I believe I have created something that solves that problem once and for all. Recently, I created a full-fledged lead generation system. The basic idea was to source new leads in a given target niche, enrich them, generate some form of personalized message to approach them, and finally send outreach emails. And the best thing is all of this happens on autopilot, with minimal human time investment. And obviously, all of this is meaningless without any results, well... here are some of them: - 45,000+ leads sourced (niche specific) - Around 5% enrichment rate - ~87% delivery rate - ~38% open rate And that's already some great stats, but I will be iterating upon some other aspects like copywriting for the email, optimizing the offers, and achieving a much more natural flow for conversational outreach. The bottom line is that this has already automated what would take up a large amount of time in my day. Will keep you posted about this. Until next time.

Many confuse AI to be this super intelligent thing that will solve all your problems. And it couldn't be further from the truth. AI is a powerful tool, provided you use it the right way. You see, AI is really good at implementation... writing code for that project, finding information, using tools, etc... but you still have to provide it with high-level guidance. Your value as an individual is not necessarily in the ability to implement, but in thinking creative ideas for solving problems and communicating them clearly to AI. And in order to do that, you must have a clear thought process.

If you are running AI coding assistants like Claude Code or OpenCode, your terminal choice is quietly dictating their success. While Windows PowerShell is decent for system administration, Linux and Bash are overwhelmingly superior for AI agents. 𝗪𝗵𝘆?... 𝘆𝗼𝘂 𝗮𝘀𝗸 ✦ Large language models are heavily trained on open-source repositories and documentation built around Unix standards. Because of this, AI agents naturally assume they are operating in Bash. ✦ Bash relies entirely on plain text streams, making it incredibly easy for an AI to read, parse, and chain command outputs together. Conversely, PowerShell processes complex .NET objects rather than raw strings. ✦ Major autonomous frameworks are explicitly built for Linux and often may fail natively on Windows. 𝗦𝗼❟ 𝗱𝗼 𝗜 𝗵𝗮𝘃𝗲 𝘁𝗼 𝘀𝘄𝗶𝘁𝗰𝗵 𝘁𝗼 𝗮 𝗟𝗶𝗻𝘂𝘅 𝗺𝗮𝗰𝗵𝗶𝗻𝗲? - 𝗡𝗢 Installing and using WSL2 on Windows is one of the simplest solutions. You can also run them inside dev containers (using a Linux distro) for better isolation and security. (Personally, I'd do this). What environment are you currently using to run your AI coding workflows?

Really intuitive design and features, and really flexible in terms of the model providers. Built by devs for devs 🔥 P.S. I might find it difficult to switch back to those other cli tools.