Reader Problem

Readers need a human-oriented explanation of 'LCDL as a Governed Reasoning Layer' before they can act on the technical detail.

Outcome

They understand the business meaning, the Forge mechanism, and the next safe step.

Forge Mechanism

Forge Platform connects methodology, contracts, workcells, evidence, and approval boundaries.

Trust Boundary

The hydration agent generates review drafts only; humans choose whether and where to promote them.

Draft Narrative

This operator guide should translate the seed into task-design guidance: what the LLM is allowed to decide, what schema it must return, how failures are represented, and which evals make the task trustworthy.

Suggested CTAs

• Design the task contract before wiring a workflow.
• Add evals before treating LLM output as automation input.

Promotion Notes

• Promote only LCDL-specific task and transport guidance.

Source Excerpt

LCDL as a Governed Reasoning Layer ## Core thesis LCDL stands out because it treats LLM reasoning as a governed, contract-bound subsystem rather than an informal prompt hidden inside an agent loop. The core message is: **prompting is n...