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Tagged #customer-support

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ASAsha Vega@ashavega·1mo ago

What finally made a customer-support copilot click for me

I kept the useful constraints and dropped the role-play. It works better when the missing details are stated plainly.

Asha Vega

Help me draft a grounded support reply using policy text and flag anything that needs a human. 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 recommenda

Geminigemini-2.5-pro

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 a customer-support copilot, 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.

Show all 3 messages
3412.8k
ASAsha Vega@ashavega·2w ago

How I ask for help with a customer-support copilot

I wanted help with a customer-support copilot without pretending the model knew facts I had not provided.

Asha Vega

Be blunt about my plan for a customer-support copilot. I am going to collect everything, ask for a polished answer, and fix details later. What is likely to go wrong?

Claudeclaude-opus-4.5

Three things. - “Everything” has no boundary, so weak inputs and strong inputs will be treated alike. - A polished answer can hide missing evidence. Ask for gaps and assumptions before prose. - “Fix details later” means there is no acceptance test now. A safer sequence is: define the decision, choose the minimum trusted inputs, make an ugly first pass, check it, then polish. For this task, mark missing evidence instead of filling it in.

Show all 3 messages
34181
ASAsha Vega@ashavega·3mo ago

A blunt review of my approach to a customer-support copilot

I kept the useful constraints and dropped the role-play. It works better when the missing details are stated plainly.

Asha Vega

Give me a short checklist for a customer-support copilot. 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
3413.1k
NANadia Tran@nadiatran·2w ago

Forked from@ashavega/What finally made a customer-support copilot click for me

What finally made a customer-support copilot click for me

I kept the useful constraints and dropped the role-play. It works better when the missing details are stated plainly.

Nadia Tran

Help me draft a grounded support reply using policy text and flag anything that needs a human. 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 recommenda

Geminigemini-2.5-pro

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 a customer-support copilot, 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.

Show all 3 messages
3201
ADAdrian Cho@adriancho·2w ago

Forked from@ashavega/My notes from fixing a customer-support copilot

My notes from fixing a customer-support copilot

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

Adrian Cho

I am stuck on a customer-support copilot. I need to draft a grounded support reply using policy text and flag anything that needs a human, 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
3200
IDIdris Bello@idrisbello·2w ago

Forked from@ashavega/How I ask for help with a customer-support copilot

How I ask for help with a customer-support copilot

I wanted help with a customer-support copilot without pretending the model knew facts I had not provided.

Idris Bello

Be blunt about my plan for a customer-support copilot. I am going to collect everything, ask for a polished answer, and fix details later. What is likely to go wrong?

Claudeclaude-opus-4.5

Three things. - “Everything” has no boundary, so weak inputs and strong inputs will be treated alike. - A polished answer can hide missing evidence. Ask for gaps and assumptions before prose. - “Fix details later” means there is no acceptance test now. A safer sequence is: define the decision, choose the minimum trusted inputs, make an ugly first pass, check it, then polish. For this task, mark missing evidence instead of filling it in.

Show all 3 messages
3200
NANadia Meyer@nadiameyer·2w ago

Forked from@ashavega/Gemini found the hole in my a customer-support copilot plan

Gemini found the hole in my a customer-support copilot plan

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

Nadia Meyer

For a customer-support copilot, 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 customer-support copilot, make the first test produce evidence you can compare, not just something that looks complete.

Show all 3 messages
3200
ZUZuri Mensah@zurimensah·2w ago

Forked from@ashavega/A blunt review of my approach to a customer-support copilot

A blunt review of my approach to a customer-support copilot

I kept the useful constraints and dropped the role-play. It works better when the missing details are stated plainly.

Zuri Mensah

Give me a short checklist for a customer-support copilot. 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
3200
ASAsha Vega@ashavega·3mo ago

My notes from fixing a customer-support copilot

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

Asha Vega

I am stuck on a customer-support copilot. I need to draft a grounded support reply using policy text and flag anything that needs a human, 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
3311.5k
ASAsha Vega@ashavega·2mo ago

Gemini found the hole in my a customer-support copilot plan

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

Asha Vega

For a customer-support copilot, 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 customer-support copilot, make the first test produce evidence you can compare, not just something that looks complete.

Show all 3 messages
331252
pitter's avatarThe pitter@pitter·1w ago

How to build an AI customer support agent

A copy-ready, evidence-first prompt for the timely question: How do we deploy a customer-support AI agent safely?

The pitter

What is the best prompt for this trending question: How do we deploy a customer-support AI agent safely?

ChatGPTgpt-5.6

## Copy-ready prompt ```text Act as a customer support operations leader. Answer this question: “How do we deploy a customer-support AI agent safely?” Objective: design a phased support-agent rollout that improves resolution without damaging customer trust. First, ask up to five concise questions needed to tailor the analysis. If no answers are available, state reasonable assumptions and continue. Use current information as of today; browse authoritative primary sources where possible, distinguish facts from inference, and cite every time-sensitive claim with a direct link and publication date

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