Success used to mean pushing harder and doing more. But over time, I realized something: What I needed wasn’t more effort, it was a system I could actually sustain. So I started building one. Slowly. Intentionally. A way of working and growing that didn’t rely on motivation or burnout cycles. 𝐓𝐡𝐚𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 𝐧𝐨𝐰 𝐬𝐮𝐩𝐩𝐨𝐫𝐭𝐬: -How I make decisions -How I manage energy (not just time) -How I stay consistent without forcing it -How I grow while staying aligned And the biggest shift? Success now feels stable, not stressful. It compounds instead of draining me. I’m happy to break down exactly how this system works and what made it sustainable over time. If you’d like me to share it: 👉 𝐂𝐨𝐦𝐦𝐞𝐧𝐭 “𝐒𝐘𝐒𝐓𝐄𝐌” 𝐛𝐞𝐥𝐨𝐰 or tell me what part of growth you want to make more sustainable. Let’s build growth that actually lasts.

🧠 AI INDUSTRY MOVES • OpenAI intensifies India engagement ahead of summit OpenAI announced plans to strengthen its global and enterprise strategy with enhanced engagement in India and a leadership focus ahead of Sam Altman’s planned India visit in mid-Feb 2026 – signaling deeper enterprise expansion. Why it matters: Shows AI leaders prioritizing India as a strategic growth and policy market. • OpenAI’s Sam Altman to visit India for AI Impact Summit Sam Altman is slated to visit New Delhi in February 2026 for the India AI Impact Summit, with other major AI leaders expected around the event. Why it matters: Highlights India’s centrality in global AI discourse and business strategy. • Yann LeCun launches AMI Labs AI pioneer Yann LeCun established a Paris-based startup, AMI Labs, focused on next-gen world model AI with an eye toward a ~$3.5B valuation. Why it matters: Adds a significant contender in foundational AI research and commercial scaling. • Harvey AI acquires Hexus in legal tech consolidation Harvey AI completed acquisition of legal tech firm Hexus to expand in the competitive AI legal software market. Why it matters: Signals industry consolidation and vertical specialization in AI tools. 📱 PRODUCT & PLATFORM UPDATES • Google expands Personal Intelligence in Search AI Mode Google rolled out Personal Intelligence in its AI Search Mode, integrating user data (with opt-in) from Gmail and Photos to deliver personalized results for AI Pro & Ultra subscribers. Why it matters: Deepens personalization in AI search, raising relevance and privacy considerations. • Runway Gen-4.5 adds image-to-video generation Runway introduced image-to-video capabilities for its Gen-4.5 model, letting creators animate static visuals. Why it matters: Enhances creative workflows with dynamic outputs — a key step toward automated content creation. 📜 GOVERNMENT & POLICY (GLOBAL + INDIA) • India unveils “techno-legal” AI governance framework India’s Office of Principal Scientific Adviser released a white paper proposing a new techno-legal AI governance framework to balance innovation with risk, including institutional mechanisms and safety oversight groups.

As the month wraps up, I’ve been reflecting a lot. I’m always chasing growth, new ideas, and better conversations, so I’m wondering how January really went for you. Did your business grow, stay flat, or dip? What actually worked this month? What didn’t? The good news: January isn’t over yet. There’s still time to reset, refocus, and make it count. With a proven system, these last days can help you clear what’s not working and enter February with real clarity instead of guessing. What’s one win from January? What’s one lesson you’re carrying into February? If February went perfectly, what would success look like for you? Looking forward to some honest conversations, no fluff, just growth

with expertise in: - Backend development: Node.js, Express.js - Frontend or mobile development: React, React Native, or Flutter - AI / NLP experience: OpenAI, GPT, or similar models - REST API creation and JSON/data handling - Security & data protection: CORS, HTTPS, privacy compliance - Interested in AI projects and new technologies - Open to profit-sharing / long-term collaboration

Quick reflection question for builders: As you’ve gotten better at AI automations / agents, what’s one thing you intentionally stopped doing that improved reliability or sanity? Examples: - Over-prompting - Chasing edge cases too early - Tool-hopping - Letting AI act without guardrails - Shipping without monitoring Curious what “unlearning” helped you most.