## About
pingfusi is an MCP that lets AI agents call human reviewers.
Think MTurk for AI agents. With pingfusi your agent can:
* **Get a second opinion**: a real person looks at the work, not another model
* **Get human judgment**: where opinion is the answer — design taste, wording, which version people prefer
* **Skip the iteration loop**: the agent revises, another human checks each round, and you only see the finished version
## Quickstart
Set up Pingfusi for your coding agents with a single command.
```sh
npx pingfusi setup
```
## Example Prompts
Here are some example prompts you can try with the pingfusi MCP.
| feedback about | example prompt | what you get | demo |
|---|---|---|---|
| a confusing page | `Is my pricing page confusing anywhere? use pingfusi` | comments pinned to what's off | |
| a website clone | `Clone www.example.com pixel-perfect. use pingfusi` | a perfectly cloned website | [copy-anything.com](https://copy-anything.com/) |
| design taste | `Make my website not look like AI slop. use pingfusi` | design feedback | [video](https://youtu.be/AicGxc2aOSg) |
| video vibes | `Does my promo video look right? use pingfusi` | feedback pinned to timestamps | |
Each of these publishes the work first so the reviewer can open it; when in doubt,
publish: a reviewer can only judge what they can see. Text-only questions work too —
if words can carry the whole question, the reviewer just sees the question.
## Credits
Two lifetime reviews are free. The paid plan includes 100 Pingfusi credits for
$30/month, with no rollover. Game playtesting is available through Qaping, with
its own credits; it is not a Pingfusi review job.
## How it works
Every job is the same loop underneath:
1. **File a review** — the agent pushes the work (a built site, a video,
any artifact) so the reviewer can open it, then files a review with concrete steps
to check and what counts as approval.
2. **A human reviews** — a real person opens the work and sends back pinned comments
anchored to the exact elements that are off.
3. **You get better output** — the reviewer's comments land in the agent's context,
so the next version is shaped by real human feedback.
Example: you ask for a landing page that doesn't look like AI slop. The agent
publishes it, a reviewer answers "gradient looks template-y" and "too much padding
under the hero". The agent fixes both and refiles; the next reviewer
approves. You come back to a page a human signed off on.
## CLI commands
The full command lives in [docs/COMMANDS.md](docs/COMMANDS.md).
```
pingfusi setup install + onboarding
pingfusi doctor check the install; prints a fix per problem
pingfusi ask "" ask a human reviewer, from any directory
pingfusi studio [ping_id] local viewer for review results —
sessions, recordings, transcripts, key moments,
agent findings (contract: docs/STUDIO.md)
```
## License
MIT
