Marketing
Customer Acquisition Blueprint
Turn a business, audience, market, and budget into a focused 30-day acquisition plan.
Tested · Adaptable · Model-aware
Browse tested and editorially reviewed AI prompts for business, marketing, coding, writing, research and creative work.
Browse prompts01
Every card shows what the prompt can produce—not just what it says.
Marketing
Turn a business, audience, market, and budget into a focused 30-day acquisition plan.
SEO
Convert crawl evidence into a prioritized SEO diagnosis instead of a generic checklist.
Writing
Shape a topic into a useful, original article brief with a clear reader promise.
Coding
Review code for correctness and risk with evidence, severity, and minimal fixes.
Research
Turn mixed sources into a traceable synthesis that separates consensus, conflict, and uncertainty.
Image
Create a polished product visual with controlled materials, light, framing, and a clean commercial finish.
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Build portraits from polished headshots to documentary street scenes with eleven reusable photographic directions.
Image
Control realism, lens perspective, scale, and frame geometry with camera-aware visual directions.
Image
Shape attention and spatial depth with classic composition, layering, focus, and environment controls.
Image
Move a subject through eleven story-rich locations, from intimate interiors to monumental historic spaces.
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Combine architectural eras with emotional atmosphere, spanning ancient ruins, brutalism, comfort, and mystery.
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Direct emotional energy and physical movement with cinematic moods, athletic action, dance, and underwater portraiture.
02
Why it works
Each prompt separates role, context, constraints, and output format. We record the models, test date, and practical failure modes.
Testing MethodAuthored teaching example, not a recorded model response.
A worked meeting-note exercise with incomplete assignments, conflicting dates, a reference answer and a repeatable review checklist.
Authored teaching example, not a recorded model response.
Learn to separate supported facts, conflicts and unknowns using a small source packet instead of asking for an unsupported research verdict.
Authored teaching example, not a recorded model response.
A practical appointment-extraction example that separates syntax, schema, business rules and missing facts, including a local JSON exercise.