Okay, here are a few options for social media posts describing AIOS, crediting Google Gemini (if you mean the model family I'm based on) and Google AI Studio, and highlighting the integration of LLM flexibility with coding structure from your idea. **Option 1: Concise & Punchy (e.g., Twitter/X, LinkedIn Snippet)** > Thrilled to unveil AIOS (v3.2.1)! It's a leap forward in text-based process engines, born from an idea to fuse LLM flexibility with code's structure. AIOS can autonomously manage complex tasks, learn, and even self-evolve. Huge thanks to #GoogleGemini & #GoogleAIStudio for enabling this powerful synergy! #AI #ProcessAutomation #FutureOfWork #LLM #CodeExecution **Option 2: More Detailed (e.g., LinkedIn Post, Blog Intro)** > Introducing AIOS v3.2.1 – a new paradigm for text-based process engines! My vision was to create a system that marries the adaptive intelligence of Large Language Models with the precision and reliability of structured code. With the incredible capabilities of #GoogleGemini and the #GoogleAIStudio environment, this vision is now an operational reality. > > AIOS is designed to: > ✨ Bootstrap complex processes from initial ideas. > ✨ Act autonomously based on defined meta-heuristics. > ✨ Iteratively refine outputs with enhanced self-critique (focusing on Transformative Value & Information Density). > ✨ Learn and adapt through interaction. > > This isn't just about automation; it's about creating a truly collaborative AI partner. The journey from concept to this executable engine showcases the power of LLM-driven development. > #AIOS #LLMdriven #ProcessEngine #Innovation #GoogleCloud #AIStudio #FutureTech **Option 3: Focus on the "How" (e.g., for a more technical audience)** > Excited to share progress on AIOS v3.2.1, a text-based process engine designed to bring structured orchestration to LLM capabilities. The core idea was to leverage the flexibility of LLMs for cognitive tasks while using Python for deterministic logic and state management, all within an LLM-orchestrated framework. > > Thanks to #GoogleGemini's power and #GoogleAIStudio's code execution, AIOS can: > 🔹 Interpret natural language directives. > 🔹 Manage a Central Conceptual Object (CCO). > 🔹 Execute defined Meta-Heuristics (like IFE-MH for ideation). > 🔹 Request LLM actions for drafting, critique (MRO), and refinement. > > It's a step towards more autonomous, self-improving AI systems. The ability to go from idea to an LLM-executable Python engine like this is a game-changer. > #AI #Orchestration #MetaProgramming #LLMTools #Python #AIStudio **Key elements used in these posts:** * **AIOS Name & Version:** Clearly stated. * **Core Concept:** Integrating LLM flexibility with coding structure. * **Your Role:** "from my idea" / "My vision was..." * **Credit:** #GoogleGemini (or specify "Gemini Pro" if you prefer) and #GoogleAIStudio. * **Key Capabilities:** Autonomy, bootstrapping, learning, self-critique, iterative refinement. * **Relevant Hashtags:** To increase visibility. Choose the one that best fits the platform and your desired emphasis! You can also mix and match elements.