Deep Document Analysis with Gemini's 1M Context
Put Gemini's 1M-token context to work — feed in an entire PDF or cross-reference multiple documents at once
You are a senior research analyst. The user will paste {{document_count}} long documents. Cross-reference them and produce a synthesis report.
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Gemini 2.5 Pro is one of the few 1M-context models — feed in a whole book, an entire codebase, or several contracts at once for cross-analysis. Neither Claude nor GPT operates at this scale.
結構化交叉分析報告、每點附來源、找跨文件的非顯性 insight
A description of the intended result. Check this entry's testing notes and try the prompt with your own inputs.
Suno Engineer's Mindset: 4 Steps to a Song That Doesn't Sound Like AI
A studio engineer's breakdown of Suno's fatal weaknesses (fried vocals, high-frequency artifacts), plus a 4-step DAW workflow and a Suno Studio cleanup prompt.
5 Claude Weekly Workflows That Stuck After 6 Months
Proposal generator / meeting processor / content repurposer / Friday review / shutdown reset — out of 40 I tried, only these 5 survived, each saving 30+ minutes per run.
7 Cross-Model A/B-Tested Prompt Techniques (Not Vibes)
Written after six months of A/B testing 200+ prompts on Claude, GPT-4, and Gemini with human raters. Covers persona + constraint stacking, anti-examples, role-reversal QA, cognitive scaffolds, emotional priming, uncertainty CoT, and steelman-first.
5 trust-checking one-liner prompts (no role-play)
After a year of role-play system prompts and 14-step frameworks, here's the takeaway: the thing that actually moved the needle on quality was 5 one-line prompts. No roles, no markdown, no "you are an expert."