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.

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 | | design taste | Make my website not look like AI slop. use pingfusi | design feedback | video | | 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.

pingfusi setup                          install + onboarding
pingfusi doctor                         check the install; prints a fix per problem
pingfusi ask "<question>"               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