OpenAI seems ready to drop a new Agent Builder at Dev Day, complete with visual nodes, loops, logic gates, and connectors. If this delivers, we might see developers building entire AI workflows inside OpenAI itself. But here’s the question: will it replace tools like n8n and Zapier, or just integrate with them? Read the full breakdown here: 👉 https://blog.automation-tribe.com/openai-unveils-agent-builder-ahead-of-dev-day-a-visual-revolution-for-ai-workflows/

Hi everyone In last poll about next content you voted for Lovable apps and RAG agents - here we are! What’s inside: - Upload documents and store them as vectors in Supabase - Use n8n workflows to handle file uploads, deletions, and chat sessions - Connect with OpenAI for natural language responses to document queries - Share chat sessions anonymously via a link for external users - Track chat analytics and message history in Supabase - Secure your app with Supabase Row Level Security and anonymous sign-in If you want me to cover specific use cases or need help with any step, just drop your questions in the comments!

This is their latest experimental model, and it’s packed with upgrades 👇 ⚡ Built on V3.1-Terminus for faster, more efficient training & inference on long context. 🧠 DeepSeek Sparse Attention (DSA) makes it leaner and smarter for big workloads. 💻 Available now in both the app and API. 💰 API prices cut by 50%+ — massive cost drop for devs! Plus: 📉 Input: $0.028 / Output: $0.42 🧾 Docs & comparisons available on their official site. It’s a clear signal — efficiency and affordability are becoming the new standard in open AI models. 🔥 Open source, fast context, low cost… the trifecta. 👉 What do you think — will DeepSeek become a serious alternative in your stack?

I noticed many struggle with migrating from OpenAI's Assistance API, especially with managing sessions and tool usage efficiently. This guide breaks down how to use the new Responses API in n8n to build faster, more robust automations. What's inside: • Understand differences between Assistance API and Responses API and why migration is important • Set up basic Responses API calls including instructions, input, and temperature parameters • Implement session and response ID storage to maintain chat history in databases like Supabase or Google Sheets • Use tools like web search and image generation within your workflows • Handle function calls and multiple outputs for complex data retrieval or processing • Aggregate and parse data properly for stable and concise responses If you have questions on integrating specific tools or want help with example workflows using Responses API, drop your ideas in the comments!

OpenAI has released big improvements to Codex, making it a smarter and more reliable coding partner: 🔹 Codex CLI – Rebuilt with community feedback. You can now share images like diagrams and wireframes, track progress with to-do lists, and connect to external tools. 🔹 IDE Extension – Codex works directly inside editors like VS Code and Cursor, giving faster, smarter help based on your open files and selected code. 🔹 Codex Cloud – Tasks now run up to 90% faster, with automatic environment setup and even browser previews of what Codex builds. 🔹 Code Review – Codex can review GitHub pull requests, flag issues early, and even suggest or apply fixes. 💡 Codex can also work independently for up to 7 hours, iterating and solving tasks without constant supervision. 👉 Are you building something with Codex? I’d love to hear what projects others are creating.