Discover what actually workswith AI.
Prompts shared with the result they produced and the model that produced it, so you can judge one before you spend a token. For ChatGPT, Claude, Gemini, Midjourney and the other tools you already use.
- Real output, every time
- Model named
- Improved in the open
Turn a messy meeting transcript into a clean list of action items
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Anatomy of a bide
A prompt, with its proof attached.
01The prompt
Exactly what was typed, ready to copy. Not a paraphrase, not “something like this”.
02The result
The output it actually produced — text, code or image — so you can judge it before you run it.
03The model
Named, not guessed. The same prompt lands differently on Claude, ChatGPT and Gemini.
04The conversation
What people changed and why. When a model shifts, the fix is posted here instead of lost in a chat.
Meeting transcript → action items
Productivity · Work
From the transcript below, list every decision as a table: task, owner, due date. Flag anything without an owner.
- Added “use attendees’ names” — owners stopped coming back as “the team”.
- On GPT-5.5, spell out the table header or it drifts into bullet points.
A prompt on its own is a guess. Here, every one arrives with the result it produced, the model behind it, and the people who made it better.
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Search, or browse by topic or tool. Judge each prompt by its output before you spend a token.
02
Test
Copy it, swap in your context, read the comments. Someone has usually hit your edge case already.
03
Share
Post your version with its result. It becomes the next person's starting point.
One place for what works
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All held to the same rule: show what it actually did.
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A bide is a prompt shared with the result it actually produced and the model that produced it, plus notes on what it's best for, why it works and when not to use it. The result is the point: it lets you judge a prompt before you spend anything running it.
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