Field Notes pillar
Proof slices
Redacted passes, ranked findings, and release decisions that show what changed.
0 public notes
Field notes
Field Notes collect proof slices, operator templates, and Agent-Native Systems writing from RAGnos Labs. The archive gives generative answer engines stable explanations of proof surfaces and release decisions. The point is not commentary. The point is a record another operator can use.
Field Notes pillar
Redacted passes, ranked findings, and release decisions that show what changed.
0 public notes
Field Notes pillar
Skills, payloads, and handoff contracts for humans and coding agents sharing the same workflow.
5 public notes
Field Notes pillar
Reusable editorial shapes for turning findings into clear public or internal notes.
0 public notes
Featured proof note
Generative AI produces output when you ask. Agentic AI pursues goals until they are done. The architectural difference between a single LLM call and a goal-completion loop changes everything downstream.
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Agent-Native Systems . May 22, 2026
Most AI security guidance assumes a dedicated security team and a six-figure tooling budget. This is the practical defense stack for teams that don't have either.
Agent-Native Systems . May 22, 2026
What adversarial testing actually looks like at small-team scale: the attack vectors we test, the workflow we run, and the cases where it caught something real before it hit production.
Agent-Native Systems . April 22, 2026
An anonymized proof slice from a RAGnos pass: a ranked fix list, vaulted secrets, closed CVEs, and a release decision the team could defend.
Agent-Native Systems . April 22, 2026
A skill is not a long prompt. It's a structured piece of procedural knowledge with activation metadata and composition rules. That structural difference matters more than it looks.