01 / Systems
Repeatable operating loops for AI-agent workflows.
Signal to research to note to revenue. Systems make Starkslab more than a content archive.
Each system shows the loop, steps, tools, and evidence behind a Starkslab operating pattern.
Protocols
Documented loops you can inspect and reuse.
Each system shows the loop, the steps, the tools it touches, and evidence from the public library.
Signal -> Research -> Note Loop
Turn fast-moving AI-agent signal into durable, searchable Starkslab library entries.
Agent Factory Review Gate
Keep AI-agent output moving without letting unreviewed changes leak into public surfaces.
Source-Read Protocol
Convert a real open-source agent codebase into architecture notes and reusable operating patterns.
SEO Proof Loop
Use search data, route contracts, and internal links to turn proof-stock into compounding traffic.
Signal -> Research -> Note Loop
The core editorial loop: capture signal, verify with primary sources or real usage, distill the operator lesson, then ship a note with internal routing.
Agent Factory Review Gate
A bounded handoff and review system for dispatching implementation work, preserving scope, and requiring proof before public action.
Source-Read Protocol
The Starkslab method for reading source code: inspect the runtime, name the boundaries, explain the tradeoffs, and extract the pattern without turning it into hype.
SEO Proof Loop
A measurement loop for making sure published notes, tools, and cluster routes continue to earn qualified discovery.