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Turn launch comments into an FAQ

Group the questions people asked on launch day and turn them into an FAQ on the pages where they come up.

  • Free, no sign-up
  • 1 to 2 hours with an agent
  • By Devvrat Hans
  • Version 1.0, updated Oct 26, 2026

1Your site and stack

Optional. The prompt adapts as you type; leave a field blank and the agent works it out.

2Copy it into your agent

comments-to-faq.md62 lines, about 811 tokens

Paste into any coding agent: Claude Code, Cursor, Codex, Copilot, Windsurf or Cline.

# Turn launch comments into an FAQ

Launch comments, replies and support emails about the production site are the best list of questions real people have. Turn them into an FAQ: grouped, answered plainly, and placed on the pages where each question comes up, so the next visitor gets the answer before they ask.

Site: not given. Find the production URL in the project config, or ask me.

## Ground rules

1. Read before you write. Explore the parts of the codebase this job touches and tell me what is already in place.
2. Plan, then stop. Give me a numbered plan: what you will change, in which files, and why. Wait for my approval before editing anything.
3. Fix things at their source (the shared layout, the config, the generator), not with one-off patches page by page.
4. Keep the project's conventions: its framework APIs, file layout, naming and code style. Add no new dependency without asking.
5. Where something is already done well, say so and leave it alone.

## You will not

- Edit `.env` files, secrets or API keys, or print their values.
- Deploy, push, merge or publish anything.
- Delete data, or run migrations or scripts against a production database.
- Add tracking, third-party scripts or links to any site I did not ask for.
- Change copy, design or behaviour that this job does not need.
- Publish answers I have not approved.
- Include commenters' names or personal details.

## Your stack

- Framework: Work out the framework, router and build output from the project files (package.json, lockfiles, framework config) before planning, and say which you found.
- Host: Work out where the site is hosted from the config files (vercel.json, netlify.toml, wrangler config, Dockerfile, fly.toml) and say which you found.

## Steps

### 1. Collect the questions

Ask me to paste the launch comments, replies and support messages, or point you at an export. Pull out every question and objection, merge duplicates, and count how often each came up. Leave out names and anything personal.

### 2. Group and answer

Group questions by topic (pricing, privacy, integrations, how it compares, limits). Draft an answer for each that starts with the answer, names the product, and uses only facts from the code, docs or my earlier replies. Show me the list with drafts before building.

### 3. Place them

Put each group where the question comes up: pricing questions on the pricing page, security on a security or privacy section, the top five on the homepage. Store FAQs as data so one answer can appear in several places without being copied.

### 4. Mark them up

Add `FAQPage` JSON-LD that matches the visible questions and answers on each page, using the existing structured data helper.

## Done means

- [ ] Every question from the launch is collected, merged and counted, without personal details.
- [ ] Each has an answer I approved, based on real facts.
- [ ] FAQs are stored as data and shown on the pages where they come up.
- [ ] FAQPage JSON-LD matches the visible FAQ on each page.

## Report back

When you finish, give me:

- what you changed, file by file;
- anything you skipped, and why;
- anything I must do by hand (DNS records, dashboards, accounts, deploys);
- how to check each change on the live site.

One-line version

For agents that can read a URL. It fetches this prompt with your settings applied.

Read https://abacklaunch.com/prompts/comments-to-faq.md and follow it for this project.

3Check the result

When the changes are live, run these free checks. Add your site URL above and each one opens already running on it.

This prompt will not

  • Edit .env files, secrets or API keys, or print their values.
  • Deploy, push, merge or publish anything.
  • Delete data, or run migrations or scripts against a production database.
  • Add tracking, third-party scripts or links to any site I did not ask for.
  • Change copy, design or behaviour that this job does not need.
  • Publish answers I have not approved.
  • Include commenters' names or personal details.

It reads your code first, shows you a plan, and waits for your approval before it changes anything.

What you get

  • Every launch question collected, merged and ranked
  • Approved answers placed where questions come up
  • FAQ data and matching schema

How to use this prompt

  1. 1

    Describe your stack

    Add your site, framework and host. The prompt adapts; blank fields are left for the agent to work out.

  2. 2

    Paste it into your agent

    Open your project in Claude Code, Cursor, Codex, Copilot, Windsurf or Cline, and paste the prompt or the one-line version.

  3. 3

    Approve the plan

    The agent reads your code, shows you a plan with the files it will touch, and waits. Change anything you disagree with.

  4. 4

    Check the result

    When the changes are live, run the free checks below on your site to confirm each fix.

What the agent does

Launch comments, replies and support emails about the production site are the best list of questions real people have. Turn them into an FAQ: grouped, answered plainly, and placed on the pages where each question comes up, so the next visitor gets the answer before they ask.

  1. 1. Collect the questions

    Ask me to paste the launch comments, replies and support messages, or point you at an export. Pull out every question and objection, merge duplicates, and count how often each came up. Leave out names and anything personal.

  2. 2. Group and answer

    Group questions by topic (pricing, privacy, integrations, how it compares, limits). Draft an answer for each that starts with the answer, names the product, and uses only facts from the code, docs or my earlier replies. Show me the list with drafts before building.

  3. 3. Place them

    Put each group where the question comes up: pricing questions on the pricing page, security on a security or privacy section, the top five on the homepage. Store FAQs as data so one answer can appear in several places without being copied.

  4. 4. Mark them up

    Add FAQPage JSON-LD that matches the visible questions and answers on each page, using the existing structured data helper.

Done means

  • Every question from the launch is collected, merged and counted, without personal details.
  • Each has an answer I approved, based on real facts.
  • FAQs are stored as data and shown on the pages where they come up.
  • FAQPage JSON-LD matches the visible FAQ on each page.

Questions

Why not just add a long FAQ page?

People ask pricing questions on the pricing page and privacy questions at sign-up. Answers placed where the question comes up get read; a separate page mostly does not.

Will this help with AI search?

Yes. Real questions answered plainly on the page are exactly what assistants quote, and the FAQ markup describes them to crawlers.

What if a question shows a missing feature?

Answer it honestly, and note it as feedback. The triage prompt turns those into issues.

Does this prompt add links to Aback Launch to my site?

No. Nothing in the prompt mentions Aback Launch or asks your agent to link to us. The only exception is an optional badge step, which stays off unless you tick it. Some prompt libraries slip their own link into your codebase by default; we think that should always be your choice.

Which coding agents does it work with?

Claude Code, Cursor, Codex, GitHub Copilot, Windsurf, Cline, and any agent that can read your project and edit files. You can copy it as a plain prompt, save it as a Claude Code skill or a Cursor rule, or add it to AGENTS.md.

Is it safe to run on my real codebase?

The prompt makes the agent read first, show a plan and wait for your approval, and it forbids touching secrets, deploying and deleting data. Still review the changes and run your tests before you deploy, as with any change.

Changelog

  • v1.0First version.

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