Turns a messy file or module you want to clean up into a step-by-step refactoring plan, built around your stated goal, available tests, and time budget rather than a full rewrite.
Each step comes with a risk level and a way to verify it before moving on, plus tests to add, a rollback plan, and an explicit list of what not to touch yet. Meant for code that already works but is getting harder to change safely.
Reads a two-variant test — descriptions, results, sample size, and duration — and delivers a fast verdict: statistical significance, which variant won, confidence level, key learnings, and a rollout recommendation with suggested follow-up tests. A lighter-weight companion to the rigorous version, meant for everyday test readouts rather than high-stakes ship decisions.
Generates a full pre-writing outline for a long-form article, turning a topic, primary keyword, audience, user problem, desired outcome, and content depth into a ready-to-draft structure. The output includes an H1, introduction angle, a nested H2/H3 outline with key points and examples per section, a FAQ block, and suggested internal links and external references to verify. Built for writers who want the SEO skeleton locked down before they start typing, without forcing keywords into every heading.
Give this prompt a product and its target audience, and it writes a single email that
positions the product as a symbol of the status or lifestyle that audience is chasing.
The copy leans on imagery and language that mirrors the reader's ideal self-image rather than
listing features, making it best suited to premium or identity-driven products.
Builds a chronological timeline of key milestones in a given {topic} from 2011 through 2026, including major breakthroughs, the researchers or figures behind them, and their implications for the field.
Useful for the historical background or literature context section of a thesis, dissertation, or grant proposal, where reviewers expect the work positioned within the wider academic conversation.
Dates, names, and attributions should be cross-checked against primary sources before being cited in any formal document.
Translates a pasted block of assignment instructions into an English language learner's native language, adjusted to be developmentally appropriate for their grade, without changing what the assignment actually requires.
- Inputs: teacher persona, student's native language, ELL grade level, original instructions
- Output: translated instructions at the right developmental level
- Keeps the underlying task and expectations unchanged
- Built for ELL teachers or support staff clarifying assignments