# 5 prompts to give your coding agent before you ship a launch

> Source: <https://dev.to/ayushniroula/5-prompts-to-give-your-coding-agent-before-you-ship-a-launch-4kek>
> Published: 2026-10-30 02:42:14+00:00

Your agent writes the landing page, the pricing table and the launch email. Then you ship, and find out from real customers what was wrong.

You can make the same agent rehearse the launch first. Install the MarketMirror plugin or MCP server once, then give it prompts like these.

Use MarketMirror to test these three ads on young parents and students in India. Put them in Instagram and Facebook feeds and tell me which one people stop at, which one confuses them, and why.

You get thumb-stop, click and hide rates per ad and per audience, with the comments people left.

Survey 150 simulated buyers on USD 4.99 a month versus USD 2.99, with and without a card for the free trial. Run it three times and show me the range.

In one simulated Fitloop study, the card requirement dropped trial starts from 4.1% to 0.2%.

Rehearse this pitch and these rebuttals with the simulated buyers. Tell me which objections my rebuttals fix and which they make worse.

In the 2,999-person Fitloop run, the rebuttals pushed "no" from 34.8% to 54.2% (simulated). Better to learn that here.

Send simulated visitors through [https://my-site.example](https://my-site.example) and record where they hesitate, leave or finish signing up.

Run the same survey with Claude and Codex writing and playing different thirds of the market, and show me where they disagree.

When they disagree, you've found the part of your plan that's least certain.

The quickest way, with [uv](https://docs.astral.sh/uv/) installed, is one entry in your agent's MCP config (the package is `marketmirror` on PyPI and in the official MCP Registry):

```
{ "mcpServers": { "market-mirror": { "command": "uvx", "args": ["marketmirror"] } } }
```

Then ask the agent to run `doctor` and `setup`. Or install from a clone:

```
git clone https://github.com/DarkWorldCoder/market-mirror.git
cd market-mirror
bash install.sh
./mm configure
./mm agent-config --client claude   # also: codex, cursor, gemini, generic
```

Every result is simulated and labelled so: use it to choose what to test for real.

👉 **[https://github.com/DarkWorldCoder/market-mirror](https://github.com/DarkWorldCoder/market-mirror)** (a ⭐ helps other people find it)

*Written with help from an AI assistant; numbers are from the saved simulated runs in the README.*