From installation to fluency: a quick start, the user guide, and a reference generated from the code, so it always matches the software version.
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How to install and use the three front ends: the desktop installer, the web version in your browser, and one-click MCP setup for your AI client.
For testers: how to run the portable build, what to look at first, what is not done yet, and how to report problems.
What changed in each release: sign-in and trial, tier-gated features, new features, and numerical fixes that can change existing results.
Four ways in (desktop, command line, AI, Python): build a Cooke triplet, read the prescription and spot diagram, change one number.
What works today and what does not yet: surface types, materials, multi-configuration, analyses, optimization, tolerancing and interoperability.
Problems we already know about in the beta: what they affect, how to work around them, and where we are on each.
The desktop app: 3D canvas, tables and text, command palette, change timeline, AI collaboration.
Write a lens from scratch: system, surfaces, glass, solves, variables, multi-configuration.
Publication-quality figures: figure frame and evidence id, data tables, view options, export formats.
Export the figures, tables and numbers a report needs in one go, each with its evidence id; stale ones are flagged when the design changes.
Actions and reports: write a change such as swapping a glass as an action, and get a before/after comparison of optics, thermal effects, weight and materials with one command.
Merit functions, the default merit function, local and global optimization, acceptance specs and verify.
Open a lens in Python / Jupyter, tune operands, pull analysis data, make figures.
Connect Claude, Cursor and other AI clients: setup, tools, safety boundaries, long-running jobs.