brent doll — builder of AI-native systems

Making LLM systems reliable, auditable, and compounding — and writing down the patterns.

Notes, essays, and project entries on agent-native knowledge infrastructure. Some evergreen, most still moving. Each piece is drawn from a working system, with its sources attached.

2026-06-09

Trust the Surface, Not the Agent: Autonomy Is the CI/CD Transition Again

The question is not how to trust an autonomous agent. You already answered it the day you let a pipeline deploy unwatched. Autonomy is the same move, made a second time.

evergreen
2026-06-09

The Dirt Is On the Path: Building an Agent Wiki One Rung at a Time

Build the cheapest version that is still on the path to the real one. Climb a rung only when trust drops or you become the bottleneck. Nothing else earns a rung.

evergreen
2026

We reach. We listen. We discover.

Five small detours through the same fork in the road — discovering the structure in a corpus, a wiki, a canvas, and a conversation without imposing it.

evergreen
llm-wiki
An agent-native Obsidian wiki: markdown stays canonical, with a rebuildable Postgres SoR, claim registries, and provenance on every source.
Claude Code · Python · Postgres
evergreen
skeem
A schema-aware data layer so agents can write to your backend safely. Five read-tier adapters, cross-adapter enrichment, WikiData hub. v0.6.0 on npm.
TypeScript · npm
growing
deep-research-swarm
Multi-model, verified deep research: fan out across model families, re-check each finding on a different family, file with footnoted provenance.
Python · opencode
evergreen
The pieces here are drawn from a working knowledge base; each ships with its sources. See the register or what this is.