Loop Engineering clearly explained in just 30 minutes.
I broke down everything I know about building loops that run without a human watching.
What every real Loop needs, loops you can copy today, and why loops break in production.
Available now for FREE on YouTube.
Google just shipped Open Knowledge Format v0.2, and it is all about agentic trust.
When a person writes a wiki page, you know who to ask if it is wrong. When an agent writes ten thousand pages overnight, nobody is accountable for any of them. The agent reading those pages needs signals it can check before it reads a single line.
v0.2 puts four of them in the frontmatter:
• sources: what the page was built from, with author and usage count. Raw signals, no trust score.
• generated and verified: who wrote it, who checked it. Human checked and machine checked stay separate.
• stale_after: a fixed date, so freshness is a date comparison.
• status: draft, stable, or deprecated.
The best part is a new type called Attested Computation. It holds the approved query for a metric. The agent fills in parameters and nothing else. It never writes the SQL. After a run, a small script compares what actually ran against what was approved. Rename a table or drop a join and it fails, and the number never gets shown.
Still just markdown and YAML. Every new field is optional. Your v0.1 bundles still work.
GitHub Repo: https://t.co/BlwunQhi7q
Andrew Ng's open-source AI coworker is the WAY.
Works with GPT, Claude, Gemini, GLM and even the local models using Ollama.
Comes with 25+ integrations and you can use it directly from slack.
100% Opensource.
Every developer needs this new Agent Skill.
Say what you meant to fix. It flags everything else in your GitHub diff.
Runs locally. 100% Open-source. Super cool SHIP by @mvanhorn.