WIZCLAW / Knowledge hub
Field notes for building with agents.
Clear, sourced guidance for founders and engineering leaders moving from AI demos to reliable operating systems—without losing control of the work.
5 field notesPrimary sourcesBuilt for operators
OPERATING COREWIZCLAWidea → production
01 / ARCHITECTUREWorkflows vs. agentschoose the autonomy level
02 / ORCHESTRATIONMulti-agent systemscoordinate specialist work
03 / GOVERNANCEHuman gatesplace judgment where it matters
04 / PRODUCTIONEvaluation loopsmeasure and improve outcomes
05 / SECURITYTenant isolationenforce the data boundary
The library
Architecture · production · governance · security
From idea to productionThe WizClaw knowledge path
01
Workflow or agent? Choose the simplest system that can own the job.
Not every problem needs autonomy. Learn how task uncertainty, feedback, and risk should determine the architecture.
Read field note → 02When a multi-agent system earns its complexity.
Specialist agents can expand capability, but delegation, context, cost, and evaluation become product concerns.
Read field note → 03Human gates are part of the architecture.
The useful question is not whether humans stay in the loop. It is where their judgment changes the outcome.
Read field note → 04The eval loop that gets agents to production.
Define success, capture trajectories, grade outcomes, and keep measuring after launch.
Read field note → 05Single-tenant AI: what isolation actually means.
Authentication is not isolation. See how silo, pool, identity, storage, and operations shape the real boundary.
Read field note →