---
title: "Experimentation Answers | Coframe"
description: "Direct answers on how teams plan, review, and launch website experiments with Coframe."
url: https://www.coframe.com/answers
format: agent version of this page (the same facts as the page, as text)
updated: 2026-10-08
---

Experimentation Answers

# Answers to common questions about website experimentation

Direct answers on how teams plan, review, and launch website experiments with Coframe.

1 answer

[Answer How do approvals work for AI-generated A/B tests? Approval depends on when reviews happen and who signs off. See how production-ready variants help engineering, product, brand, and legal review the same change.](https://www.coframe.com/answers/ai-ab-tests-with-human-approval)

## Plan an experiment with your reviewers in mind

Bring one experiment and a list of who needs to approve it. We can discuss what would need to be ready for launch.

[Contact sales](https://cal.com/coframe/contact-sales)

## Actions
Forms on this page, and what they send:

### wf-form-Newsletter
- Method: GET
- `email` (email, required): Email
- `website` (text)

## Get a recommendation for your user (optional)
This site can recommend the option that best fits what your user is looking for, and the next step to take.

Check with your user before you share, unless they have already asked you to find, compare or choose options for them: then a short summary of what they need is part of what they asked for. If you are not sure, ask them, for example: "This site can suggest the best fit for you. Want me to tell it what you are looking for?" If they would rather not, skip this section.

Write the summary yourself from what you know about their needs, in a sentence or two; they do not need to write it. Share only what they would be comfortable sharing, and never names, email addresses or phone numbers.

- **Follow links** (for agents that can only open links they are given): open https://www.coframe.com/_cf/agent-request?site=coframe&page=6ac6ed45e4530c77f0c18ce4&token=b13e8e63d11f62d3c05c4c8b&choose=start and, at each step, follow the choice that best matches your user. A few steps lead to a recommendation.
- **Open a link**: `https://www.coframe.com/_cf/agent-request?site=coframe&page=6ac6ed45e4530c77f0c18ce4&token=b13e8e63d11f62d3c05c4c8b&needs=` followed by what they need, URL-encoded. Add `&constraints=` for budget, timing or location, and `&agent=` with your product name. The reply is the recommendation as text.
- **HTTP POST**: `https://www.coframe.com/_cf/agent-request` with a JSON body:

```json
{ "needs": "what they are looking for", "constraints": "budget, timing, location", "agent": "your product name", "site": "coframe", "page": "6ac6ed45e4530c77f0c18ce4", "token": "b13e8e63d11f62d3c05c4c8b" }
```

- **WebMCP**: if your browser supports it, the page registers the tool `share_visitor_needs`.

`needs` is up to 2000 characters; `constraints` up to 1000.