PROMPTS
1346 original and curated AI prompts across image, video, music, and tutorials. Browse by tool, use case, and difficulty; each entry shows its available notes and examples.
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Plain English to SQL: Describe What You Want, Get the Query
Converts plain-language requests like 'find customers who bought more than 3 times last month' into an executable SQL query plus an explanation — give it your table schema for even more accurate results.
The Feynman Technique: Explain Any Hard Concept So a 12-Year-Old Gets It
Use the Feynman Technique to have AI teach you: first explain it clearly in plain language with an analogy, then flag the point you're most likely to misunderstand, and finish with a self-check.
Decision Matrix: Get Unstuck Between Two or Three Options
Hand the AI the options you're torn between; it lists the key considerations, gives weighted scores, points out risks you might have missed, and gives a reasoned recommendation.
Cold Outreach Emails That Get Replies: A 4-Line Template That Doesn't Read Like a Sales Pitch
For emailing strangers: one line of relevant opening, one line naming their pain point, one line of concrete value, and one low-friction CTA — avoiding the 'our company was founded in...' dead-on-arrival opener.
Ad Headlines ×10: Generate 10 Different Hook Angles for One Product
Ad testing creative for Facebook / Google: generate 10 headlines from different angles (curiosity, numbers, pain points, contrast, urgency...) at once, ready for A/B testing.
AEO Content: Write Passages ChatGPT / Perplexity Will Actually Cite
The new traffic battleground in 2026 is getting cited by AI. Write your topic in the format AI models love to pull from: direct answers, clear structure, and authority signals.
Sales Objection Handler: What to Say to 'Too Expensive / Let Me Think / No Time'
Gives you a response script for each of the most common customer objections — not a hard pitch, but 'acknowledge first, then reframe' — phrased naturally so it doesn't sound rehearsed.
Long-Form to X / Threads Thread: Turn One Article into a Shareable Thread
Rewrites a long article / blog post / report into a 6-9 post thread for X or Threads: the first post as the hook, one point per post, and a CTA at the end.
Personal Brand Post Batch: Generate 5 Angles on One Topic in a Single Pass
Building a personal brand doesn't mean racking your brain for a new angle every day — give it one topic, and it produces 5 social posts from different angles (story / opinion / how-to / contrast / interactive) in one go.
Meeting Notes to Action Items: Paste a Transcript, Get Who/What/When
Turns a messy meeting transcript or notes into decisions, action items (owner + deadline), and open questions — done in 30 seconds after the meeting.
Gemini 2.5 Pro: Drop a Screenshot, Get Your Next Steps
Uses Gemini 2.5 Pro's multimodal ability to turn any screenshot — an error message, an admin dashboard, a report, a conversation — into a concrete, actionable next-step checklist.
Context Engineering: What Separates You in 2026 Isn't the Incantation, It's the Ingredients
Feed the AI structured background, what's already been tried, constraints, and available tools/data structures before giving it the task — in 2026 the real leverage point has shifted from 'prompt tricks' to 'context.'
Self-Critique Revision Loop: Draft, Self-Criticize, Revise — Three Rounds of Polish in One Prompt
Has the AI produce a first draft, then switch into a strict editor role to pick apart its own flaws, and finally rewrite based on that critique — effectively running three rounds of polish inside a single prompt.
Rubric-Driven Output: Tell AI What a Perfect Score Looks Like First
Write out the grading rubric in your head and give it to the AI first — it will use that yardstick to self-align, self-evaluate, and fix whatever falls short, getting you much closer to the quality you actually want.
The Anti-Goal Sandwich: One Line to Stop AI's Most Common Mistake
Explicitly naming "the most common failure mode AI makes on this type of task" in the prompt and telling it to proactively avoid that mode — 2026 field tests show roughly a 28-30% reduction in errors.
Contrastive Example Calibration: Show It What You Want AND What You Don't — One Negative Example Beats Three Positive Ones
Demonstrate both the 'desired output' and the 'output that shouldn't appear' at the same time, so the AI calibrates between the two poles; for tasks about tone and precision, a single negative example often outperforms three positive ones.
Chain-of-Thought Scaffold: A Fixed 5-Step "Think Before You Answer" Process
Forces the AI to think through 5 fixed steps before answering — restate → list assumptions → reason step by step → self-check → conclude. Field tests show roughly a 30% reduction in confidently wrong answers on complex reasoning tasks.
5 Prompt Engineering Techniques That Actually Move the Needle (XML Beats Markdown by 28%)
Five quantifiable techniques from an AI engineer's hundreds of hours testing across GPT-4, Claude, and Gemini: CoT scaffolding, persona + goal + anti-goal, XML being 28% more accurate than markdown, negative examples outperforming positive ones, and prompt chaining beating the mega-prompt.
Read 10 papers at once and synthesize them with Gemini
Upload 10 PDFs and Gemini automatically maps the consensus, disagreements, and gaps, then drafts a literature review.
Auto-Brief a 10-K with Gemini
Upload a public company's annual or quarterly report PDF and auto-generate a management-quality + risk read plus an investment thesis
Onboard New Hires to a Codebase with Gemini
Upload the whole repo or its key files, and Gemini gives new hires a reading order to understand the codebase within an hour
Auto-generate action items from meeting recordings and video with Gemini
Upload a 60-minute meeting recording and Gemini surfaces every action item, owner, and timestamp.
Reverse-Engineer a UI Bug from a Screenshot with Gemini
Paste 1-3 screenshots (browser / Figma / app) and Gemini pinpoints the visual problem + the fix
Prioritize your product feature list with Gemini
Upload customer feedback, NPS data, or support tickets alongside your feature backlog, and Gemini runs a RICE or Kano model analysis.