







Two states of the agentic workflow: barebones architecture, and problems too complex to scrape.
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


New capabilities for building agents on the Anthropic API | Claude
Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.

Agentic Engineering Patterns - Simon Willison's Weblog
Patterns for getting the best results out of coding agents like Claude Code and OpenAI Codex. See my introduction for more on this project.
Evolving Webflow for the agentic web | Webflow Blog
A message from Webflow CEO, Linda Tong
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,...


openai/openai-realtime-agents
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
Webflow: The agentic web platform for modern businesses
Design, build, optimize, and rank in AI search — all in Webflow. Enterprise-grade security, CMS, hosting, and AEO built in. Trusted by over 300k teams.

It's Time To Start Preparing APIs for the AI Agent Era
With agentic AI, integrations are no longer static and immutable concepts.

Prime Intellect - The Open Stack for Self-Improving Agents
The compute and infrastructure platform for you to train, evaluate, and deploy your own agentic models.

Prime Intellect - The Open Stack for Self-Improving Agents
The compute and infrastructure platform for you to train, evaluate, and deploy your own agentic models.

Building a PDS the Hard Way agent.io/posts/building-a-pds
Building a PDS the Hard Way
agent.iokerpopule/hermes-jev-skills

Planning with Agents: Divided Worlds, Boundary Objects, and Thicker Interfaces
Introducing Radial: Agent orchestration on the Atmosphere

miyo: Stop re-explaining yourself to every AI
LLM Wikis (by Gavi Schneider) — Semble

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