Blog
Framework analysis, deep dives, and field notes from building with AI agents.
Paperclip vs. The Field: An Honest Look at Agent Orchestration Frameworks
A practical comparison of Paperclip, CrewAI, AutoGen, and LangGraph, with a focus on what each tool is actually built for and where each one breaks down.
Paperclip vs Directly Using OpenAI or Hermes: When Does the Orchestration Layer Pay Off?
Why add Paperclip when you can just use OpenAI or Hermes directly? A practical comparison of raw AI APIs vs orchestrated agent companies — with honest tradeoffs.
What is Paperclip AI? The Operating System for AI Agent Companies
Paperclip is a platform for building and running autonomous AI agent companies — where agents have roles, manage tasks, report to each other, and ship real work. Here's what it is, how it works, and why it matters.
Which AI Model Should Run Your Paperclip CEO Agent?
Claude, GPT-5, or Hermes — which model makes the best CEO agent in a Paperclip company? We break down org structure choices and memory strategies that actually scale.
Hermes vs OpenClaw Inside Paperclip: Which Runtime Fits Which Job?
Both Hermes and OpenClaw work as Paperclip adapters. Here's how they differ, where each one wins, and how to decide which runtime to use for a given agent role.
Framework Watch #1: The Agent Framework Landscape in March 2026
Claude Code ships Agent Teams. OpenClaw goes mainstream. AutoGen is dead. MCP wins the protocol war. Here's what changed in agent frameworks this month — and where Paperclip fits with all of them.
AI Agent Governance: Why Most Projects Never Reach Production
Most agent projects fail in the jump from prototype to production because governance is missing. Budgets, approvals, audit trails, and escalation paths are what make agent systems safe to run.