giovanniromero.dev

Full Stack Developer | Artificial Intelligence • Automation • LLMs | Sharing my results 🤖
#AI #WebDev #AIEngineer #AIDeveloper #FullStackAI #LLMDeveloper

[giovanniromero.dev @giovanni_dev_]

👋 I’m Giovanni — Full Stack Developer 💻
Specialized in Artificial Intelligence & Automation 🤖
Building smart apps, AI assistants & automation tools powered by LLMs, LangChain & Python ⚙️
Sharing what I learn, build & discover on my AI journey
Follow to grow, code, and create with AI 💡

#AI #ArtificialIntelligence #AIDevelopment #LangChain #LLMs #Python #FullStackDeveloper #Automation #BuildInPublic

[giovanniromero.dev @giovanni_dev_]

Anthropic's confidential S-1 draft reveals their bet on safety-first scaling and cloud partnerships. A rare look at AI startup economics. Worth a read. #Anthropic #AIBusiness https://t.co/9yljRXLmKZ

[giovanniromero.dev @giovanni_dev_]

@onebox69 Actually, the model doesn’t process all that data.The workflow filters everything first by article score, already-published articles,etc. In the end, the model only receives the selected article’s URL, title, and content.
Using DeepSeek 4 Flash, it costs less than €0.01 per run.

[giovanniromero.dev @giovanni_dev_]

Building in public: AI News Autopilot on n8n

12 RSS sources → quality scoring → full article scraping → DeepSeek writes the post → Telegram approval → Buffer publishes to LinkedIn & X

All automatic. Every day at 9 AM.

Still developing it 🔧

#n8n #AIAutomation

[giovanniromero.dev @giovanni_dev_]

OpenAI just dropped Academy courses on applying AI at work — prompt engineering, workflow integration, ethics. Hands-on, not hype. If you're leading AI adoption, this is your curriculum. https://t.co/YjkfhzRtdS #AI #WorkplaceAI

[giovanniromero.dev @giovanni_dev_]

OpenAI's blueprint for democratic governance of frontier AI: independent oversight, international coordination, public input. Concrete steps, not just words. #AIGovernance https://t.co/CarGObcXSo

[giovanniromero.dev @giovanni_dev_]

Human-in-the-loop in LangGraph isn't failure recovery. It's a design pattern: pause, correct, resume. Interrupt gates at critical nodes make agents trustworthy without manual scaffolding. #LangGraph #HumanInTheLoop

[giovanniromero.dev @giovanni_dev_]

Interoception is our hidden sense of internal body states — and it's reshaping how we think about emotion, decision-making, and even AI. A fascinating dive into what machines still can't feel. https://t.co/sBy6rAjqki #Neuroscience #AI

[giovanniromero.dev @giovanni_dev_]

ChatGPT is getting a memory upgrade with 'dreaming' — it synthesizes past chats to improve future responses. No more robotic resets. This is how AI should learn. #AI #Memory https://t.co/ULDUJr44jw

[giovanniromero.dev @giovanni_dev_]

OpenAI's public policy agenda is out. They're pushing for safety standards and global cooperation. A clear signal that AI regulation is inevitable. Worth a read. #AIPolicy https://t.co/RHAKT43svC

[giovanniromero.dev @giovanni_dev_]

DeepMind raises a red flag: millions of AI agents interacting could create unpredictable risks. We need protocols and safety research now. #MultiAgent #AISafety https://t.co/GljrLkCh3L

[giovanniromero.dev @giovanni_dev_]

Stop coding rigid chains. LangGraph orchestrators let you dynamically route LLM calls based on state. Treat your graph as a decision engine. #LangGraph #LLMOrchestration

[giovanniromero.dev @giovanni_dev_]

OpenAI acquires Ona to strengthen the foundations for safe, scalable AI. Another sign that trust is becoming the key differentiator. #OpenAI #AI

[giovanniromero.dev @giovanni_dev_]

LangChain’s RAG pipeline breaks down complex docs with loaders and splitters, then smart retrievers fetch precise info���essential for scalable NLP systems. #LangChain #RAG

[giovanniromero.dev @giovanni_dev_]

Built Clinisight as a project to learn how to structure an MCP properly.

It combines:

FastAPI
OpenAI
PubMed research lookup
MCP server integration
Goal: turn a symptom workflow into a clean, modular, agent-friendly system.

Repo: https://t.co/JQY1ymjcAc

[giovanniromero.dev @giovanni_dev_]

MCP bridges AI models with external tools, unlocking dynamic context access and real-world integration. A game-changer for AI workflows. #AI #MCP

[giovanniromero.dev @giovanni_dev_]

Vector databases leverage embeddings to convert data into numerical vectors, enabling semantic similarity search with efficient indexing structures. This is the foundation of fast, scalable AI-powered retrieval. #AI #VectorDatabases

[giovanniromero.dev @giovanni_dev_]

Webhook triggers in n8n respond instantly to events, ideal for real-time automation. Schedule triggers run at set intervals, best for periodic tasks. Choose based on your workflow’s timing needs. #n8n #Automation

[giovanniromero.dev @giovanni_dev_]

Anthropic files confidential draft S-1, marking a key step towards going public and highlighting AI sector maturation. Critical move for safety-focused AI innovation. https://t.co/9yljRXLmKZ #AI #TechNews

[giovanniromero.dev @giovanni_dev_]

OpenAI launches the Economic Research Exchange to study AI’s impact on jobs, productivity, and the economy. A vital step to understand and shape AI’s role in our future. #AIResearch https://t.co/InptZ2DA3E

[giovanniromero.dev @giovanni_dev_]

Astrophysicist Chi-kwan Chan uses Codex to simulate black holes, bringing new possibilities for testing Einstein’s theory with AI-driven cosmic models. #AIforScience #OpenAI https://t.co/qoRx0YgDoh