Just sold my first Ai Voice Assistant called HelloDondi (named after my late mother) and my fledgling company now has a MRR of $325.00. Its a start.

AI Training 👉 https://sanny-recommends.com/learn-ai You are wasting hours every single week on tasks an AI agent can already handle. Reviewing pull requests, triaging bug reports, scanning CI failures, digging through logs. It’s repetitive, it’s slow, and it’s exactly the kind of work AI is designed to take off your plate. And right now, most people have no idea what OpenAI just shipped. OpenAI Codex has been completely rebuilt into a full autonomous coding agent. This is not the old Codex from years ago. This is something entirely different. You give it a task, and it works through it on its own, reading files, writing code, running commands, and adapting based on results. It runs locally on your machine and is already included if you’re using ChatGPT Plus, Pro, or higher tiers. The biggest update here is automations, and this is where things change. You can now define a task, schedule it, and Codex runs it in the background without you doing anything. When it’s done, results show up in a triage inbox for you to review. If nothing important happened, it just archives it. No noise, no clutter. This means you can automate real workflows. You can have Codex scan your GitHub issues every morning, group them, and highlight what actually matters. You can have it review CI failures and give you a structured breakdown instead of digging through logs yourself. You can generate daily release summaries automatically or run ongoing bug scans across your codebase. AI Training 👉 https://sanny-recommends.com/learn-ai What makes this even more powerful is how it runs tasks. Each automation can run in an isolated worktree, which is basically a separate version of your repository. That means Codex can review, test, and modify code without touching what you’re actively working on. No conflicts, no risk to your main branch unless you approve it. You can also combine automations with skills. Skills define how something is done, automations define when it runs. Once you connect the two, you’re not just using AI anymore, you’re building systems that operate continuously in the background. That’s where the real leverage comes from.