When AI feels like “one more thing,” it’s usually not an AI problem. It's a systems problem. Messy workflows + no thinking space + constant reacting→ AI just adds noise. Clarity first. Tools second. Curious to know: does AI feel supportive or overwhelming in your work right now? Maybe we'll find some great solutions in the comments!

Wins, roadblocks, how's the progress?

Been quietly building this for a while now. ZeroGate Academy is focused on hands-on AI engineering for security operators not theory, not tool demos, but real lab environments where you architect, deploy, break, and validate systems end-to-end. The goal isn’t to “learn AI.”It’s to integrate AI into real security workflows: - Automations - Agents - Guardrails - Operational tooling - Production-ready stacks Every module is designed to compound into a larger system, so by the end you’ve actually built something usable not just completed isolated labs. Still refining pieces and testing flows, but it’s far enough along now to start pressure-testing the idea. More to come....

After logging 300+hours of intensive AI use in the last six weeks, after the AI bootcamp, running real workflows—not demos—I made a decisive platform shift to GEMINI PRO. Below is the exact rationale, from my personal and practical use documented for transparency and repeatability at the request of some of my followers. ChatGPT — Limitations Observed in High-Intensity Use (300+ Hours of Practical Work) ✘ Inconsistent reliability during peak usage hours; frequent bottlenecks ✘ Constantly have to reopen new chats to continue an existing workflow ✘ Consistently forces the user to refresh the chat when it crashes ✘ Uses DALL·E for image generation (Inferior MCP connector) ✘ Very poor quality in image AI generation ✘ Uses report PDF generator, which is inaccurate and does not parse text properly ✘ Does not produce native video outputs in comparison to Gemini Pro VO3 ✘ Does not integrate like Gemini Pro with Google Videos, Products, and Workspace ✘ Does not check Gmail inside the chat interface ✘ Uses folders, but does not use Gems like Gemini Pro, which are sub-agents with rules Gemini Pro — Why I Transitioned (Now Operating as “Nautilus”) ✔ Exported ENTIRE history of conversations from ChatGPT to Gemini Pro very easily. ✔ Stronger long-context persistence across extended conversations ✔ Stable performance during sustained, high-intensity usage ✔ Supports structured agent orchestration with Gems ✔ Enables purpose-built autonomous agents (“Tritons”) ✔ Reduces prompt redundancy through retained role-specific logic ✔ Scales horizontally without performance collapse ✔ Better aligned with real business, automation, and execution workflows ✔ Superior image creation with Nana Banana Pro ✔ Superior creation of videos with VEO3 ✔ Checks Gmail inside Gemini Pro chat interface (Genesis Pro user face) ✔ Pulls YouTube videos directly inside the UI chatbox, which GPT does not do ✔ Grabs direct research from Google, which ChatGPT cannot do ✔ Delivers stronger competitor insights using YouTube and live web data