Building my ✨ Awakened Aligned Abundance Community on Skool has been a journey of growth, learning and deep purpose. Lately, I’ve been using AI tools to help me bring my ideas to life more clearly and intentionally. It’s helping me organize my thoughts, outline content and create posts that come straight from my heart but with more clarity and flow. What used to take me hours now feels lighter and more aligned, giving me more time to connect with people and nurture the Community in an authentic way. It’s beautiful to see how technology can actually deepen human connection when used consciously. AI has become more than just a tool for efficiency, it’s been part of my creative process and personal expansion. I’m curious how others are using AI or other tools in their own communities or creative work. What shifts have you noticed in how you build, share or express your message online? 👇👇👇

I thought this might be useful because a lot of people want to “build with AI” but don’t have a security background — and safety talk often turns into either fear… or vague theory. This is neither. This is a simple, repeatable checklist you can copy into your project and run every time (like a pre-flight check). If you can follow a recipe, you can follow this. When to run it Run this checklist: - Before you launch - After any new feature - After any security news/alert - Once per month as a quick maintenance habit 🔒 Guardrails 101 (Copy/Paste Template) Project name: Owner (who is accountable): Where it’s hosted (platform): Last checked (date): 1) What are we building? (1–2 lines) - AI feature(s): - What users can do with it: 2) Data & privacy (what touches what) - What data is used? (none / basic / personal / sensitive) - Where is it stored? - Who can access it? Rule: If personal data is involved → minimize it and document why it’s needed. 3) Secrets & access (high priority) - ✅ 2FA enabled on: email / GitHub / hosting / admin dashboards - ✅ API keys stored safely (not in chats, screenshots, or public repos) - ✅ Least access: only people who need it have it - ✅ “Rotate keys” plan exists (where/how) 4) Updates & patching (boring but essential) - Dependencies/framework updated: ✅ / ❌ (date) - Hosting/platform updates: ✅ / ❌ - If a critical alert happens: who patches within 24–48h? 5) Monitoring (can we see problems early?) - Logs enabled: ✅ / ❌ - Alerts enabled for suspicious activity / errors: ✅ / ❌ - Who receives alerts? 6) Abuse & misuse (what could go wrong?) Quick answers: - Most likely misuse case: - How we reduce it (rate limits / permissions / filters): - What we will NOT allow the AI to do: 7) Kill-switch & rollback (must-have) - Can we disable the AI feature quickly? ✅ / ❌ - Where is the “off switch”? - How do we roll back changes?

📝 TL;DR OpenAI just released its first State of Enterprise AI 2025 report, and the numbers are big. Across nearly 100 enterprises, workers using AI say they save 40 to 60 minutes a day and 75 percent report better speed or quality in their work. 🧠 Overview This new report looks at how real companies are actually using tools like ChatGPT Enterprise and the OpenAI API, not just what is theoretically possible. It blends a survey of 9,000 workers with live product usage data to show where AI is driving value and where organizations are getting stuck. For anyone building an AI-powered business or career, it’s a clear signal that AI is moving from experiments to embedded workflows. 📜 The Announcement On December 8, 2025, OpenAI released The State of Enterprise AI 2025, its first deep dive into how enterprises are adopting AI at scale. The report covers nearly 100 companies and 9,000 workers across industries, focusing on ChatGPT Enterprise and API usage patterns. It finds that 75 percent of workers using AI say it improves the speed or quality of their work, with typical users saving 40 to 60 minutes daily and heavy users gaining more than 10 hours a week. ⚙️ How It Works • Survey plus usage data - OpenAI combined a survey of 9,000 employees with real ChatGPT Enterprise and API telemetry to understand not just what people think about AI, but what they actually do with it day to day. • Time and quality impact - Across the sample, 75 percent of workers say AI improves speed or quality, with most saving 40 to 60 minutes per day and heavy users reporting more than 10 hours a week reclaimed from routine tasks. • Cross-functional adoption - IT, marketing, product, HR, and engineering teams all report gains, from 87 percent of IT workers seeing faster issue resolution to 73 percent of engineers shipping code faster and 75 percent of HR professionals improving employee engagement. • Frontier users pulling ahead - The top 5 percent of workers send around 6 times more AI messages than the median, and frontier firms send roughly 2 times more messages per seat, showing that deeper engagement with AI compounds performance gains.

I got started with my channel within some moths now started getting this result. Just wrapped up this month and I’m honestly still trying to process it… YouTube just paid me a little over $8,000. Not sharing this to brag , it’s more of a reminder to myself that small steps really do add up. i learn from the investor roadmap that says there are something people who are making success did different that people who are not making it yet are not ready to do. I put my effort on new strategy and it's brings me this result within short period of time. am very happy to take the step.