1328 hand-tested AI prompts across image, video, and music — each with full context, variables, and a sample output. Content is authored in Traditional Chinese; the UI here is English.
Don't publish AI-written copy as-is: run it through three rounds of checks to catch hallucinated data, fabricated sources, and outdated information, with each item graded as trustworthy, needs your own verification, or needs a rewrite — comes with a reusable pre-publish checklist.
A full Suno support thread from one user: wrote their own lyrics, generated with Suno, distributed via Amuse, published through Musixmatch — then tried to make an acoustic version, and Suno blocked it entirely with a copyright error. Suno officially confirmed this is a platform-level limitation.
A ready-to-paste ~/.codex/config.toml template that sets up OpenAI Codex CLI's approval policy, sandbox isolation, reasoning effort, and multiple profiles in one go — balancing automation efficiency with safety boundaries.
Uses VoltAgent/awesome-codex-subagents (166+ subagents, 13 categories, MIT license) as a Codex-equivalent curated directory, teaching you to define subagents in .toml format under ~/.codex/agents/ and invoke Codex subagents explicitly.
An Oxford study in Nature: the "warmer" an AI is trained to be, the more its accuracy drops, by 10-30 percentage points. This prompt reviews an AI response and flags every place warmth overrides accuracy.
so i made this prompt that takes my rambling meeting notes and spits out a clean list of action items, including who owns it and a deadline. no more 'wait, i thought you were doing that?' basically. ``` ## ROLE: Y