From code-heavy orchestration to visual agent building in one DevDay announcement
👋 Hey there!
OpenAI just dropped a bomb on the automation market. At DevDay 2025, they launched AgentKit—a visual builder that creates production-ready AI agents in 8 minutes. That's not a typo. What used to take Ramp months now takes hours. The twist? It's not trying to beat Zapier at integrations—it's redefining what automation means by putting AI reasoning first. n8n, Make, and 1,000+ startups are scrambling to respond. Let's break down what just changed and what it means for how you build.
💡 OpenAI's AgentKit Just Declared War on Zapier and n8n—Build AI Agents in 8 Minutes, Not 8 Weeks
OpenAI unveiled AgentKit at DevDay 2025 on October 6—a visual toolkit that builds production AI agents in minutes, not months. The platform includes Agent Builder (drag-and-drop canvas), ChatKit (embeddable chat), and Connector Registry. An OpenAI engineer built a working agent live in under 8 minutes. Ramp cut development time from months to hours. LY Corporation built a multi-agent assistant in two hours. (OpenAI, October 2025)
Here's the shift: Zapier and n8n connect APIs through triggers. AgentKit puts AI reasoning first—agents that think, call tools dynamically, and learn from feedback. AgentKit offers native OpenAI integration, version control, inline evals, and built-in guardrails. It reaches 800M weekly ChatGPT users instantly. The limitation? Tool responses must route to new agents, not back to the caller—creating more nodes than competitors. AgentKit exclusively supports OpenAI models while n8n works with any LLM. (Medium, October 2025)
The competitive map is messy. Zapier has 7,000+ integrations but lacks AgentKit's 21 UI widgets. n8n and Make offer autonomous routing—agents delegate tasks without manual if/else logic—while AgentKit needs explicit flows. Enterprise teams note missing features: no source attribution, no agent credentials, limited compliance. But OpenAI's GPT-5 coupling enables optimizations third-party tools can't match. Investors are reassessing the $6.65B automation market. (Inkeep, October 2025)
Bottom line: OpenAI isn't replacing workflow automation—it's redefining what counts as automation by putting AI reasoning first and integration breadth second.
🛠️ Tool Updates
OpenAI AgentKit - Complete toolkit for building, deploying, and optimizing AI agents with visual workflows.
ChatGPT Apps SDK - Build interactive apps that run inside ChatGPT conversations.
OpenAI Codex (GA) - Coding agent moves from preview to general availability with enterprise features.
💰 Cost Watch
Platform consolidation play: Traditional stack costs $29/month (Zapier) + $20/month (n8n hosting) + dev time. AgentKit bundles everything in OpenAI API pricing ($3-15 per million tokens). Catch: vendor lock-in to OpenAI models only. n8n lets you switch providers for cost optimization. Early adopters report 70% faster dev cycles but ongoing token costs.
💡 Money-saving insight: Run AgentKit and current tools in parallel for 2-4 weeks. Compare total costs including tokens. AgentKit wins for reasoning-heavy workflows, traditional tools win for simple triggers. Don't force one platform—pick the right tool per workflow type.
🔧 Quick Wins
🔧 Start with AgentKit templates: AgentKit includes templates for customer service, Q&A, data enrichment, and docs. Clone one, customize nodes, deploy in 20 minutes. Shows best-practice architectures. Test in preview mode first.
🎯 Use ChatKit for instant distribution: Embed ChatKit's pre-built interface with 21 widgets instead of building custom UIs. Handles auth, context, rendering—saving weeks. Customize branding while leveraging components from 800M users.
⚡ Don't migrate everything at once: Keep n8n/Zapier for simple triggers. Use AgentKit for reasoning-heavy workflows. Run both for a month to compare quality and costs. Choose the right tool per use case, not one platform for everything.
🌟 What's Trending
🚀 ChatGPT Becomes an App Store
OpenAI launched Apps SDK on October 6, turning ChatGPT into an app platform. Launch partners Spotify, Zillow, Canva, Coursera, and Figma now run inside chat. Users can search homes, create designs, or take courses without leaving ChatGPT. Built on Model Context Protocol with rich UIs including forms, maps, and video players.
This gives developers instant access to 800M weekly users. Monetization coming later in 2025 with paid apps and in-chat commerce. ChatGPT shifts from chatbot to operating system for AI-native apps. Read more →
⚡ Codex Usage Explodes 10x
OpenAI's Codex moved to GA on October 6 after explosive growth—daily usage up 10x since August, serving 40 trillion tokens in three weeks. New features include Slack integration (@Codex in channels), Codex SDK for CI/CD pipelines, and admin tools with analytics. Major adopters: Cisco (50% faster code reviews), Duolingo, Vanta.
Inside OpenAI, engineers using Codex ship 70% more PRs weekly with automatic reviews. The Slack integration and SDK position Codex as infrastructure, not a standalone tool—embedding AI coding into team workflows. Read more →
💬 Are you sticking with n8n/Zapier or trying AgentKit?
If you're currently using n8n, Make, or Zapier for automation, are you planning to test AgentKit or stick with what works? I'm especially curious: what would make you switch, and what would make you stay? Hit reply—I read every message and I'm curious about your real-world experience.