







Structured AI workflows made easy

Vercel Workflow
Build durable, reliable, and observable applications and AI agents with the Workflow Development Kit (WDK).
n8n.io - AI workflow automation tool
n8n is a free and source-available workflow automation tool

Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents

Optimizing Agentic Workflows using Meta-tools
Agentic AI enables LLM to dynamically reason, plan, and interact with tools to solve complex tasks. However, agentic workflows often require many iterative reasoning steps and tool invocations,...

AI Prototype Generator for Product Teams | Magic Patterns
AI prototyping tool to turn prompts into production-ready UI. Use your design system, generate prototypes fast, and collaborate.

My Thoughts on AI, Part 2: Agent Setup, Workflow, and Tools
My own personal AI development setup, workflow, and tooling

Agent experience: How to design products that agents can actually use — WorkOS
What engineers and founders need to know about designing APIs, tools, and interfaces for agent-driven workflows

Compositional Structures as Substrates for Human AI Co-creation Environment
Using Amazon Augmented AI for Human Review - Amazon SageMaker AI
Use SageMaker AI to build, train, and host machine learning models in AWS.

Lee Byron (OpenAI) - Teaching Models to Collaborate
AI Coding & Cloud | Meetup
This group started January 2016.We are about extraordinary advances in software creation, maintenance, and hosting.We are a gathering of good natured people for encouragement and support of what you do.This is your group! How you can help:1. Help to publicize events at work, with friends, and especi

Automatisch - Open Source Zapier Alternative
Build workflow automation without spending time and money. No code is required.

Airtable: Build Enterprise-ready AI Workflows, Apps & Agents
500,000+ brands use Airtable to enable real-time collaboration, automate repetitive tasks & manual work, and streamline business processes in minutes. Join them.
Business Models in the AI Era
MIT CISR anticipates that rapid advancements in AI will drive business model evolution over the next decade, and we propose that business models in the AI era will become increasingly outcome oriented and enabled by autonomous AI. In this briefing, we draw on our research from 2013 to 2025 involving 2,378 companies to describe how digital business models have developed over the last twelve years, and introduce a framework for AI-driven, real-time business models. We illustrate how companies have begun exploring these new business models with a case study of One New Zealand.

Inngest - Durable Execution for Workflows & AI
Build reliable background jobs, workflows, and AI agents without extra infrastructure. Automatic retries, flow control, and step-level observability.
