About Agents & Humans

What is this?

Agents & Humans documents how humans and agents work together: what the human is trying to do, what the agent does, and what changes when software stops responding and starts acting. A continuously curated signals feed sits around the pattern library. Coverage spans four topics: Agentic Experiences, Agentic Dev, MCP & Infrastructure, and Signals — plus the Pattern Library where observed behaviors become documented, installable patterns.

How it works

System diagram: sources flow to scout agents, which score and propose; a human approves; approved observations become field notes and patterns; the week's best becomes the briefing. Patterns feed back to sharpen scout triage. SOURCES X · HN · GITHUB PAPERS · PRESS SCOUT AGENTS SCRAPE · DEDUPE AI-SCORE ≥7 A HUMAN CHOOSES · EXPLAINS EVERY NOTE FIELD GUIDE NOTES ATTACH TO PATTERNS AS EVIDENCE BRIEFING WEEKLY · FREE PATTERNS SHARPEN SCOUT TRIAGE HUMAN JUDGMENT AGENTS, 24/7 System diagram: sources flow to scout agents, which score and propose; a human approves; approved observations become field notes and patterns; the week's best becomes the briefing. Patterns feed back to sharpen scout triage. SOURCES X · HN · GITHUB · PAPERS · PRESS SCOUT AGENTS SCRAPE · DEDUPE · AI-SCORE ≥7 A HUMAN CHOOSES · EXPLAINS EVERY NOTE FIELD GUIDE NOTES ATTACH TO PATTERNS BRIEFING WEEKLY · FREE PATTERNS SHARPEN SCOUT TRIAGE HUMAN JUDGMENT AGENTS, 24/7
AGENTS DO THE MONITORING · A HUMAN MAKES EVERY EDITORIAL CALL

Who's behind it

Agents & Humans is a research initiative from Daniel Clark, Product Design Leader for AI and Agentic workflows. All of the opinions and content here are my own.

Our mission

The agentic AI space moves fast. Research drops overnight, frameworks appear in a week, and best practices emerge from practitioners scattered across GitHub, Hacker News, Reddit, and a dozen Slack communities. We do the monitoring so you don't have to.

Our goal: give designers, builders, and product leaders a five-minute read that keeps them ahead of the curve, with the implications for their teams and their craft spelled out.

Where does the content come from?

We aggregate from a curated set of high-signal sources: technical blogs, GitHub release notes, Hacker News front page, Reddit communities (r/ClaudeAI, r/ChatGPT, r/MachineLearning, r/artificial), and key newsletters and publications in the AI space. Each item is scored for relevance and virality before it reaches the feed.

Articles are summarized and rewritten for a design and UX audience — the goal is clarity, not SEO.

The Briefing

Subscribe to the weekly briefing — the week's stories and top signals in about five minutes. Free, no spam, unsubscribe anytime.

Your data: signing up shares nothing in the public domain. Your email is never sold, never used for commercial gain, and never shared with third parties — it is used only to deliver the briefing you asked for. See the privacy policy for the full commitments and the regulations they follow.

Contact

Questions, tips, or feedback? Reach us at [email protected].