#ai prompts and AI conversations

This version makes the model wait for an answer, correct selectively, and keep an error log.

Zuri Mensah

Tutor me on testing prompts across ChatGPT, Claude, and Gemini. My current level: [beginner / some experience / advanced] What I need to do with it: [real task, exam, project, or conversation] Time available today: [minutes] Material I am using: [paste notes, example, code, data, or source] Teach one small idea at a time. Start with a two-question diagnostic. Wait for my answer before explaining.

Geminigemini-2.5-pro

Good. Do these without looking anything up: 1. Explain testing prompts across ChatGPT, Claude, and Gemini in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

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6315.1k

Mira Khan@mirakhan·2w ago

The agent handoff notes prompt I actually kept

The first answers were broad enough to be useless. This version asks for assumptions, evidence, and a next step.

Mira Khan

Help me turn a messy agent run into a clean handoff another person can pick up. Context: - Goal: [what a good result lets me do] - Current situation: [paste notes, draft, data, or constraints] - Audience: [who will use the result] - Deadline or limit: [time, budget, tools, length] Before answering, ask up to three questions only if the answers would materially change your recommendation. Otherwise

ChatGPTgpt-5

This is usable as written. The important parts are the definition of done, the instruction to expose assumptions, and the request for a smallest test. For agent handoff notes, I would start with these checks: - Put the source of truth in the prompt - Mark missing evidence instead of filling it in - Add a stop condition before tool use If you share real material, remove anything private first and replace bracketed fields with concrete details.

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3414k

Oscar Lind@oscarlind·2w ago

What I was getting wrong about tool approval gates for AI agents

Sharing the correction because the mistake looked reasonable until I tested it.

Oscar Lind

I want to learn tool approval gates for AI agents, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Claudeclaude-opus-4.5

Good. Do these without looking anything up: 1. Explain tool approval gates for AI agents in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

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6214k

Theo Young@theoyoung·2w ago

A blunt review of my approach to prompting from examples

A compact prompt and the response it produced. Replace the bracketed parts with your own details.

Theo Young

Give me a short checklist for prompting from examples. I want something I can run before I call the work done.

ChatGPTgpt-5

Use this pass: - [ ] The goal is one sentence and names the user or decision - [ ] Inputs are current, relevant, and traceable - [ ] Assumptions are visible - [ ] Put the source of truth in the prompt - [ ] Mark missing evidence instead of filling it in - [ ] Add a stop condition before tool use - [ ] One failure case has been tested - [ ] The next owner and next action are clear If you cannot check an item, mark it unknown. Do not quietly treat unknown as done.

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3313.9k

Dalia Nasser@dalianasser·2w ago

prompt injection basics for tool users: a study session that did not turn into more notes

A practical session with a worked example, a short test, and a clear stopping point.

Dalia Nasser

I want to learn prompt injection basics for tool users, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Geminigemini-2.5-pro

Good. Do these without looking anything up: 1. Explain prompt injection basics for tool users in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6313.9k

Alina Petrov@alinapetrov·3w ago

What I was getting wrong about writing eval cases before changing a prompt

Sharing the correction because the mistake looked reasonable until I tested it.

Alina Petrov

I want to learn writing eval cases before changing a prompt, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Geminigemini-2.5-pro

Good. Do these without looking anything up: 1. Explain writing eval cases before changing a prompt in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6315.2k

Nadia Meyer@nadiameyer·2w ago

I stopped guessing about meeting notes into decisions

The first answers were broad enough to be useless. This version asks for assumptions, evidence, and a next step.

Nadia Meyer

For meeting notes into decisions, should I build a complete plan first or test one small slice? I have limited time and I do not want throwaway work.

Claudeclaude-opus-4.5

Test one slice, but choose a slice that crosses the riskiest part of the problem. A tiny easy demo will only prove the easy part. Use this decision rule: - If reversing the choice is cheap, try it. - If the choice locks in data, money, or other people’s time, write the full decision first. - If uncertainty is concentrated in one step, test that step before planning around it. For meeting notes into decisions, make the first test produce evidence you can compare, not just something that looks complete.

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3312.4k

Maya Torres@mayatorres·3w ago

A practice-first plan for using examples to teach output quality

I asked for a plan built around attempts and feedback, not a list of resources.

Maya Torres

I want to learn using examples to teach output quality, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Claudeclaude-opus-4.5

Good. Do these without looking anything up: 1. Explain using examples to teach output quality in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6314.2k

Darius Cole@dariuscole·3w ago

What I was getting wrong about context engineering for reliable agents

Sharing the correction because the mistake looked reasonable until I tested it.

Darius Cole

I want to learn context engineering for reliable agents, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain context engineering for reliable agents in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6315k

Sana Raman@sanaraman·3w ago

My notes from fixing long-document context

I wanted help with long-document context without pretending the model knew facts I had not provided.

Sana Raman

I am stuck on long-document context. I need to work through a long document without losing definitions, exceptions, or open questions, but my current attempt is getting vague and too big. What would you check first?

ChatGPTgpt-5

First, shrink the decision. Do not solve the whole subject at once. 1. Put the source of truth in the prompt. 2. Mark missing evidence instead of filling it in. 3. Add a stop condition before tool use. Write down the result you need by the end of this session. Then choose one input you trust and make a first pass that can be checked. If that pass fails, you will know which assumption to revisit instead of starting over.

Show all 3 messages

3314k

Ronan Byrne@ronanbyrne·2w ago

A practice-first plan for tracking prompt versions and results

I asked for a plan built around attempts and feedback, not a list of resources.

Ronan Byrne

I want to learn tracking prompt versions and results, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain tracking prompt versions and results in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6312k

Silas Berg@silasberg·3w ago

separating model mistakes from missing context: a study session that did not turn into more notes

A practical session with a worked example, a short test, and a clear stopping point.

Silas Berg

I want to learn separating model mistakes from missing context, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain separating model mistakes from missing context in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6313.1k

Amina Farah@aminafarah·2w ago

Forked from@adriancho/The turning a broad interest into a measurable skill tutor prompt I saved

I finally found a good way to learn context engineering for reliable agents

The useful change was doing a small retrieval check before reading more.

Amina Farah

I want to learn context engineering for reliable agents, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain context engineering for reliable agents in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

643900

Micah Ellis@micahellis·4w ago

Forked from@kenjifujita/I finally found a good way to learn prompt injection basics for tool users

The prompt injection basics for tool users tutor prompt I saved

This version makes the model wait for an answer, correct selectively, and keep an error log.

Micah Ellis

Tutor me on prompt injection basics for tool users. My current level: [beginner / some experience / advanced] What I need to do with it: [real task, exam, project, or conversation] Time available today: [minutes] Material I am using: [paste notes, example, code, data, or source] Teach one small idea at a time. Start with a two-question diagnostic. Wait for my answer before explaining. Use one work

Geminigemini-2.5-pro

Good. Do these without looking anything up: 1. Explain prompt injection basics for tool users in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6214.5k

Celia Ramos@celiaramos·2w ago

I finally found a good way to learn deciding when an agent should stop

The useful change was doing a small retrieval check before reading more.

Celia Ramos

I want to learn deciding when an agent should stop, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Claudeclaude-opus-4.5

Good. Do these without looking anything up: 1. Explain deciding when an agent should stop in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6311.9k

Eli Tran@elitran·2w ago

I needed a usable answer on a reusable fact-check pass

A compact prompt and the response it produced. Replace the bracketed parts with your own details.

Eli Tran

I am stuck on a reusable fact-check pass. I need to check a draft line by line and label unsupported, stale, or ambiguous claims, but my current attempt is getting vague and too big. What would you check first?

Geminigemini-2.5-pro

First, shrink the decision. Do not solve the whole subject at once. 1. Put the source of truth in the prompt. 2. Mark missing evidence instead of filling it in. 3. Add a stop condition before tool use. Write down the result you need by the end of this session. Then choose one input you trust and make a first pass that can be checked. If that pass fails, you will know which assumption to revisit instead of starting over.

Show all 3 messages

3411.4k

Ines Navarro@inesnavarro·3w ago

Forked from@aminafarah/I finally found a good way to learn designing a useful agent handoff

The designing a useful agent handoff tutor prompt I saved

This version makes the model wait for an answer, correct selectively, and keep an error log.

Ines Navarro

Tutor me on designing a useful agent handoff. My current level: [beginner / some experience / advanced] What I need to do with it: [real task, exam, project, or conversation] Time available today: [minutes] Material I am using: [paste notes, example, code, data, or source] Teach one small idea at a time. Start with a two-question diagnostic. Wait for my answer before explaining. Use one worked exa

Claudeclaude-opus-4.5

Good. Do these without looking anything up: 1. Explain designing a useful agent handoff in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6313.2k

Mira Khan@mirakhan·4w ago

A smaller way to tackle agent handoff notes

I wanted help with agent handoff notes without pretending the model knew facts I had not provided.

Mira Khan

For agent handoff notes, should I build a complete plan first or test one small slice? I have limited time and I do not want throwaway work.

ChatGPTgpt-5

Test one slice, but choose a slice that crosses the riskiest part of the problem. A tiny easy demo will only prove the easy part. Use this decision rule: - If reversing the choice is cheap, try it. - If the choice locks in data, money, or other people’s time, write the full decision first. - If uncertainty is concentrated in one step, test that step before planning around it. For agent handoff notes, make the first test produce evidence you can compare, not just something that looks complete.

Show all 3 messages

3314k

Imani Okafor@imaniokafor·3w ago

getting an agent to stop safely: the version with actual constraints

I wanted help with getting an agent to stop safely without pretending the model knew facts I had not provided.

Imani Okafor

Give me a short checklist for getting an agent to stop safely. I want something I can run before I call the work done.

Claudeclaude-opus-4.5

Use this pass: - [ ] The goal is one sentence and names the user or decision - [ ] Inputs are current, relevant, and traceable - [ ] Assumptions are visible - [ ] Put the source of truth in the prompt - [ ] Mark missing evidence instead of filling it in - [ ] Add a stop condition before tool use - [ ] One failure case has been tested - [ ] The next owner and next action are clear If you cannot check an item, mark it unknown. Do not quietly treat unknown as done.

Show all 3 messages

3412.9k

Malik Johnson@malikjohnson·3w ago

Forked from@tomasvarga/I finally found a good way to learn structured outputs that fail safely

The structured outputs that fail safely tutor prompt I saved

This version makes the model wait for an answer, correct selectively, and keep an error log.

Malik Johnson

Tutor me on structured outputs that fail safely. My current level: [beginner / some experience / advanced] What I need to do with it: [real task, exam, project, or conversation] Time available today: [minutes] Material I am using: [paste notes, example, code, data, or source] Teach one small idea at a time. Start with a two-question diagnostic. Wait for my answer before explaining. Use one worked

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain structured outputs that fail safely in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6311.8k

Haruto Abe@harutoabe·4w ago

tool approval gates for AI agents: a study session that did not turn into more notes

A practical session with a worked example, a short test, and a clear stopping point.

Haruto Abe

I want to learn tool approval gates for AI agents, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Geminigemini-2.5-pro

Good. Do these without looking anything up: 1. Explain tool approval gates for AI agents in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6214.2k

Miles Rivera@milesrivera·2w ago

A smaller way to tackle prompt injection checks

The useful bit was asking for trade-offs and a smallest test before committing to a full plan.

Miles Rivera

For prompt injection checks, should I build a complete plan first or test one small slice? I have limited time and I do not want throwaway work.

ChatGPTgpt-5

Test one slice, but choose a slice that crosses the riskiest part of the problem. A tiny easy demo will only prove the easy part. Use this decision rule: - If reversing the choice is cheap, try it. - If the choice locks in data, money, or other people’s time, write the full decision first. - If uncertainty is concentrated in one step, test that step before planning around it. For prompt injection checks, make the first test produce evidence you can compare, not just something that looks complete.

Show all 3 messages

3401.5k

Amina Farah@aminafarah·4w ago

I finally found a good way to learn human review for automated workflows

The useful change was doing a small retrieval check before reading more.

Amina Farah

I want to learn human review for automated workflows, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain human review for automated workflows in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6413.2k

Alina Petrov@alinapetrov·1mo ago

What I was getting wrong about reducing hallucinations with verification steps

Sharing the correction because the mistake looked reasonable until I tested it.

Alina Petrov

I want to learn reducing hallucinations with verification steps, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Geminigemini-2.5-pro

Good. Do these without looking anything up: 1. Explain reducing hallucinations with verification steps in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6314.1k

Soraya Aziz@sorayaaziz·4w ago

grounding answers in source documents: a study session that did not turn into more notes

A practical session with a worked example, a short test, and a clear stopping point.

Soraya Aziz

I want to learn grounding answers in source documents, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Claudeclaude-opus-4.5

Good. Do these without looking anything up: 1. Explain grounding answers in source documents in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6312.6k

Jasper Wong@jasperwong·1mo ago

A practice-first plan for structured outputs that fail safely

I asked for a plan built around attempts and feedback, not a list of resources.

Jasper Wong

I want to learn structured outputs that fail safely, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

Claudeclaude-opus-4.5

Good. Do these without looking anything up: 1. Explain structured outputs that fail safely in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6214.1k

Leo Fischer@leofischer·3w ago

Gemini found the hole in my a research prompt that cites its work plan

A compact prompt and the response it produced. Replace the bracketed parts with your own details.

Leo Fischer

For a research prompt that cites its work, should I build a complete plan first or test one small slice? I have limited time and I do not want throwaway work.

Geminigemini-2.5-pro

Test one slice, but choose a slice that crosses the riskiest part of the problem. A tiny easy demo will only prove the easy part. Use this decision rule: - If reversing the choice is cheap, try it. - If the choice locks in data, money, or other people’s time, write the full decision first. - If uncertainty is concentrated in one step, test that step before planning around it. For a research prompt that cites its work, make the first test produce evidence you can compare, not just something that looks complete.

Show all 3 messages

3411.4k

Darius Cole@dariuscole·1mo ago

What I was getting wrong about human review for automated workflows

Sharing the correction because the mistake looked reasonable until I tested it.

Darius Cole

I want to learn human review for automated workflows, but I keep collecting explanations instead of getting better at it. I have 35 minutes. Start by checking what I already know.

ChatGPTgpt-5

Good. Do these without looking anything up: 1. Explain human review for automated workflows in two sentences. 2. Give one situation where you would use it and one where you would not. I am checking your current model, not your vocabulary. A partial answer is more useful than a polished guess.

Show all 6 messages

6314.6k

Sana Raman@sanaraman·1mo ago

A blunt review of my approach to long-document context

Not magic wording, just enough context and a clear definition of done. Easy to adapt.

Sana Raman

Give me a short checklist for long-document context. I want something I can run before I call the work done.

ChatGPTgpt-5

Use this pass: - [ ] The goal is one sentence and names the user or decision - [ ] Inputs are current, relevant, and traceable - [ ] Assumptions are visible - [ ] Put the source of truth in the prompt - [ ] Mark missing evidence instead of filling it in - [ ] Add a stop condition before tool use - [ ] One failure case has been tested - [ ] The next owner and next action are clear If you cannot check an item, mark it unknown. Do not quietly treat unknown as done.

Show all 3 messages

3413.9k

Nadia Meyer@nadiameyer·1mo ago

I needed a usable answer on meeting notes into decisions

Not magic wording, just enough context and a clear definition of done. Easy to adapt.

Nadia Meyer

I am stuck on meeting notes into decisions. I need to extract decisions, owners, deadlines, and unresolved questions from raw meeting notes, but my current attempt is getting vague and too big. What would you check first?

Geminigemini-2.5-pro

First, shrink the decision. Do not solve the whole subject at once. 1. Put the source of truth in the prompt. 2. Mark missing evidence instead of filling it in. 3. Add a stop condition before tool use. Write down the result you need by the end of this session. Then choose one input you trust and make a first pass that can be checked. If that pass fails, you will know which assumption to revisit instead of starting over.

Show all 3 messages

3313.9k

Explore

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Explore

The testing prompts across ChatGPT, Claude, and Gemini tutor prompt I saved

The agent handoff notes prompt I actually kept

What I was getting wrong about tool approval gates for AI agents

A blunt review of my approach to prompting from examples

prompt injection basics for tool users: a study session that did not turn into more notes

What I was getting wrong about writing eval cases before changing a prompt

I stopped guessing about meeting notes into decisions

A practice-first plan for using examples to teach output quality

What I was getting wrong about context engineering for reliable agents

My notes from fixing long-document context

A practice-first plan for tracking prompt versions and results

separating model mistakes from missing context: a study session that did not turn into more notes

I finally found a good way to learn context engineering for reliable agents

The prompt injection basics for tool users tutor prompt I saved

I finally found a good way to learn deciding when an agent should stop

I needed a usable answer on a reusable fact-check pass

The designing a useful agent handoff tutor prompt I saved

A smaller way to tackle agent handoff notes

getting an agent to stop safely: the version with actual constraints

The structured outputs that fail safely tutor prompt I saved

tool approval gates for AI agents: a study session that did not turn into more notes

A smaller way to tackle prompt injection checks

I finally found a good way to learn human review for automated workflows

What I was getting wrong about reducing hallucinations with verification steps

grounding answers in source documents: a study session that did not turn into more notes

A practice-first plan for structured outputs that fail safely

Gemini found the hole in my a research prompt that cites its work plan

What I was getting wrong about human review for automated workflows

A blunt review of my approach to long-document context

I needed a usable answer on meeting notes into decisions