pingfusi

 

Pingfusi

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 naming choice	Which name is better for my coffee app: Brewly or Cuppa? use pingfusi	poll result
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
[?]	ask any question that you can think of	real human feedback

The first and last rows are text-only polls — the reviewer sees just the question, so they only fit questions words can carry. The rows in between publish the work first so the reviewer can open it; when in doubt, publish: a reviewer can only judge what they can see.

How it works

Every job is the same loop underneath:

• 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.
• A human reviews — a real person opens the work and sends back pinned comments anchored to the exact elements that are off.
• 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

License

MIT