# Ask AI

> Ask plain-language questions across every review: client cost, copy vs bugs, delays, churn signals. Answers come from your review data, cited. You decide.

This is the Markdown copy of https://usesuperflow.ai/ask-ai, published for AI agents and scripts. The HTML page is canonical.

## Key facts

| Field | Value |
| --- | --- |
| Page type | Feature page |
| URL | https://usesuperflow.ai/ask-ai |
| Feature | Ask AI |
| Promise | Ask your review history anything |
| Capabilities documented | 4 |

## What this does

Ask in plain language. Which client draws the most rounds. Whether reviews are catching copy or bugs. Where delays and churn risk hide. Answers come from your own reviews.

See where the rounds go

Ask plain-language questions across every review - and every answer is grounded in your own data, cited.

## Capabilities

Superflow gets you from A Question to An Answer.

| Capability | What it does |
| --- | --- |
| How you ask | Ask in plain language, and every answer cites the comments and decisions behind it. |
| What you learn | See which clients cost the most rounds, what's copy versus bugs, and the patterns across every project. |
| What it flags | Surface where review load piles up, and catch stalled reviews and early churn signals. |
| What it generates | Ask for a breakdown and get it generated from live review data - no dashboard to build. |

## Detail

- **How you ask: Plain-language questions.** Ask the way you'd ask a person: which client, which pattern, which quarter.
- **How you ask: Cited answers.** Every answer names the comments and decisions it came from, one click from the original thread.
- **What you learn: Per-client answers.** See which clients draw the most review and what each one keeps rejecting.
- **What you learn: Copy-versus-bug mix.** See whether reviews mostly catch writing problems or build problems, per client or across the agency.
- **What you learn: Cross-project patterns.** One question spans every client, project, and thread you've ever reviewed.
- **What it flags: Review load by team.** See where review load piles up, by team, account, or work type, and pair support where it's needed.
- **What it flags: Delay and churn signals.** Flags stalled reviews and early churn signals in the pattern of a client's rounds.
- **What it generates: Analytics on demand.** Ask for a breakdown and get it generated from live review data - no dashboard to build.

## How to start

Three steps, no analyst required.

1. **Add the snippet in 30 seconds.** Or upload a file. One click for WordPress, Webflow, Framer, Shopify.
2. **Run reviews as usual.** Agents check the moment work lands, your team comments, your client approves.
3. **Type a question in plain language.** The answer comes back grounded in Memory, citing the comments behind it.

## Questions and answers

### What can I actually ask?

What reviews keep catching, which clients take the most rounds, whether the work is mostly copy fixes or bug fixes, where review load sits by team or account, which projects have stalled, and early churn signals. Or ask for a breakdown and it gets generated.

### Where do the answers come from?

Your own review data, held in Memory: every comment, finding, decision, and upload. Each answer cites the sources behind it.

### Does it rank or score my people?

No. It shows where review load piles up so you can pair support and coach early. There's no per-person score, and every staffing call stays a human call.

### Does it work from day one, or does it need history?

Ask from day one: what you upload into Memory answers immediately. Pattern questions sharpen as reviews accumulate.

### Is my data used to train models for other customers?

No. One client's memory never informs another client, and one customer's data never trains another's.

### Can my clients see Ask AI?

No. Clients review from a magic link: no account, no login, no app, from their phone. Ask AI and its answers stay on your side.

### How is this different from a reporting dashboard?

A dashboard answers the questions somebody predicted last quarter. Ask AI answers the question you have right now, from the raw reviews, with citations.

### What does Ask AI cost?

Included on every paid plan alongside Memory, which powers it.

## Related pages

Each of these also publishes a Markdown copy at its own path plus `.md`.

- [Memory](https://usesuperflow.ai/memory) - The source of every answer - what you upload and what reviews teach it.
- [AI review agents](https://usesuperflow.ai/ai-review-agents) - The checks that write much of the data.

## About Superflow

Superflow is a website and creative-asset review tool. Its agents watch every page of a site, report what changed, and route findings to the people who approve them. Teams leave contextual feedback on live sites, staging environments, PDFs, images, videos, and Lottie animations, and comments sync two-way with Asana, ClickUp, Monday, Slack, Webflow, and Google Tag Manager.

Machine-readable entry points:

- Site index: https://usesuperflow.ai/llms.txt
- Full site content in one fetch: https://usesuperflow.ai/llms-full.txt
- Free tools, with a Markdown copy of each: https://usesuperflow.ai/tools.md
- MCP server (Streamable HTTP, no account and no API key): https://usesuperflow.ai/api/mcp
- Agent card: https://usesuperflow.ai/.well-known/agent-card.json