'OpenAI+API' 검색 분석 결과

My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You can grow into a $200,000 career by spending less than $12 this year.

My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You can grow into a $200,000 career by spending less than $12 this year.

My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You can grow into a $200,000 career by spending less than $12 this year.

BREAKING 🚨: OpenAI is testing new Agent upgrades for ChatGPT as "Agent with truncation" started appearing in the list of Alpha models. Mistake rollout 👀

BREAKING 🚨: OpenAI is working on a "Daily Pulse" feature where ChatGPT will prepare personalised insights for you every morning. Since it requires Memory, it might be related to an earlier spotted "Golden Hour" announcement. Trying to connect the dots below 👀 h/t x@M1Astra

If OpenAI wants everyone to switch over to their new responses API, they should contribute implementations to vLLM, llama.cpp, and SGLang. Otherwise chat completions will always be the lingua franca. https://developers.openai.com/blog/responses-api/

OpenAI just introduced the 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲𝘀 𝗔𝗣𝗜 a major step beyond Chat Completions. Instead of only returning text, it’s designed for reasoning + action + multimodal workflows. This means the model can: ● Think through a problem step by step. ● Call hosted tools like search, code interpreter, or image generation. ● Handle text, images, and audio in one unified flow.

This single prompt turns Claude into an n8n You are an expert n8n engineer. Help me build a full AI agent workflow for [USE CASE]. - Use case, inputs, outputs, integrations, complexity - Design workflow architecture & nodes - Error handling, validation, optimization - Deliver workflow diagram, node setup, JSON, testing, scaling - Use Claude/OpenAI API, webhooks, logging, best practices - Production-ready, reliable, maintainable Start by asking clarifying questions, then provide the full plan.

→ Collect inbound LinkedIn messages → Qualify them automatically with GPT → Save results in Airtable → Send follow-up emails via Gmail

Day5🚀 Microstep just had its first real conversation with OpenAI. From hardcoded logic → live API call. GitHub → Vercel → OpenAI ✅ Frontend still crashing, but that $0.02 charge? Totally worth it. #Microstep #OpenAI #buildinpublic #vercel #reactnative #founderlog #100DaysOfCode #DevDiary #Microstep