AI fluency / handoff gate
evidence rail
Source-bounded workbench

Before you delegate, seal the handoff.

Separate user need, delegation boundary, prompt, and production evidence so a polished instruction cannot masquerade as a finished product.

Load builder tasks

One row per task. The gate audits supplied evidence, not model capability or production truth.

AWAITING TASKS
Loading local parser...
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Handoff evidence

Run the gate to see which tasks can be delegated with a complete evidence chain.

TaskNeedDelegationPromptProductionStatus
Load the sample and run the gate to inspect tasks.

This is a specification gate, not a guarantee that an LLM will succeed. Human review remains responsible for the final product.

AI Fluency Handoff Gate Explainer

Read the explanation

Before delegating work to an AI model, the workbench enforces a four-pillar evidence gate across every builder task. Loading task data and clicking Run Handoff Gate parses each CSV row and audits whether any required column is blank. If any pillar like prompt or production evidence is empty, the gate flags the task incomplete and isolates the missing link. Only tasks with all four verified columns earn ready status, enabling structured delegation and exportable JSON specifications.

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