For months, my e-commerce journey felt like an endless loop of frustration. I was doing everything "right" grinding late nights, neglecting my fitness, sacrificing my sleep, and trying every marketing trend out there. But my Shopify store was basically bleeding cash. My conversion rate was stuck in the gutter, and people were bouncing off my site because it loaded like a turtle on mobile. I almost threw in the towel. Exactly 30 days ago, I hit a breaking point and changed my entire approach. I stopped chasing hype, forced myself to get my lifestyle back on track, and got my e-com mentor to step in. He ran a brutal audit on my theme architecture, deleted almost every single bloated app, and helped me clean out the junk code to rebuild the mobile checkout layout from scratch. This is the result of that technical shift over the last month. To finally see the numbers match the effort is completely insane. I’m posting this here because I know a lot of people in this group are building their own projects, side hustles, or juggling intense career goals. If you are feeling stuck or burned out, sometimes the answer isn't to work harder or buy more ads. Sometimes you just have to step back, fix your energy, and fix the invisible technical bottlenecks holding your website back. Has anyone else experienced a massive breakthrough lately after completely shifting their strategy? Let's celebrate some wins below.

I need someone who can parse emails from Gmail. And put the data into a google sheet. Then run some processing.

I’m designing a personal AI OS for my Mac and would value a reality check from people who have built one beyond the demo stage. The goal is not another dashboard or a giant vault. It is a durable, human-readable operating layer that gives Codex/Claude the right context for each task while I retain ownership of the files. Current structure: AI OS/ - AGENTS.md — instructions for AI agents - AIOS.md — human-readable system map - context/ — personal context, business context, strategy, current priorities - projects/ — active outcomes with a clear end state - areas/ — ongoing responsibilities such as health, administration and communication - knowledge/ — long-term notes and discoveries - plans/ — dated implementation plans - outputs/ — generated deliverables - reference/ — reusable source material - source-maps/ — pointers to Git repos, email, cloud folders and sensitive sources - scripts/ — maintenance and automation - archive/ — inactive material Each serious project would contain PROJECT.md, NOW.md, HANDOVER.md, DECISIONS.md, SOURCES.md and local agent instructions. Important boundaries: - Git repos can remain independent rather than being forced into one monorepo. - The AI tool’s own runtime/config folder stays outside the AI OS. - Secrets never enter Markdown or Git. - Medical, legal and financial source files are not loaded by default; the OS contains indexes or source maps and loads raw material selectively. - Fresh sessions receive only the context required for the task, rather than the entire vault. My questions: 1. Is this the right separation between context, projects, areas, knowledge and source maps? 2. What files or maintenance habits turned out to be essential in your real AI OS? 3. Where does this approach become too complex or break down at scale? 4. How do you handle selective context loading and sensitive personal data in practice?