Evidence-Driven Lucid Performance Tuning

Overview

Tune one measured workflow at a time while preserving document fidelity, data reconciliation, authorization, and documented limits.

Prerequisites

• A reproducible scenario, representative sanitized fixture, baseline, and service objective
• Component classification: import, export, REST operation, editor extension, or connector
• Owners for data correctness and any live environment

Tool Discipline

Use Read, Glob, and Grep for code, fixtures, and receipts, WebFetch for current limits/contracts, and Write or Edit only for local benchmarks, scoped improvements, and reports.

Current Contract

Each Lucid surface has different constraints. Standard Import performance depends on archive structure, uncompressed assets, pages, objects, and data; extension/connector performance depends on the installed SDK, transforms, network behavior, and UI work. Rate limits are endpoint-specific.