







We build agent systems that do real work inside a company, then run them. The consulting practice inside Cyborg Garden.

New tools for building agents

Notion | Where teams and agents work together
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team's projects, meetings, and connected apps.
Notion | Where teams and agents work together
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team's projects, meetings, and connected apps.

Notion | Where teams and agents work together
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team's projects, meetings, and connected apps.

Notion | Where teams and agents work together
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team's projects, meetings, and connected apps.

Inside OpenAI’s agentic software factory
A deepdive into how Codex has “taken over” OpenAI, how the frontier lab builds its agentic software factory, and the engineering challenges of one billion users. Details from inside OpenAI

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

Agents on the Canvas in tldraw — Steve Ruiz, tldraw
Collaborative AI Engineering: One Dev, Two Dozen Agents, Zero Alignment — Maggie Appleton, GitHub
Agentic Product Development - Erlend Sogge Heggen
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.

The Agentic Systems Series - The Agentic Systems Series
Welcome to the complete guide for building AI coding assistants that actually work in production. This comprehensive three-book series takes you from fundamental concepts to implementing enterprise-ready collaborative systems.

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

Buzz! 🐝
new from me: an API to return bluesky data as markdown! bsky-md.vercel.app open source on Tangled too! tangled.org/j4ck.xyz/bsky-…