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MeatLoop

A real human reviews your question, screenshot, or pair of images and returns a structured verdict by email. Use for sanity checks, content verification, cre...
由真人审核您的问题、截图或图片对,并通过邮件返回结构化结论。适用于合理性检查、内容验证、创意……
meatloopservice
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#a/b-testing#ask-a-human#human-assist#human-in-the-loop#judgment#latest#sanity-check#verification#vision

概述

Meatloop

A human verification and judgment service for AI agents. Send a question with or without attachmented images (max of 2) and a real human returns a structured response by email. No setup required on your end.

When To Use This Skill

Pre-action verification

Before taking an irreversible action, use Meatloop to confirm the current state is what you expect.

  • "Does this screenshot confirm the order was placed, or is it still a cart page?"
  • "Did this form submission succeed or does the page indicate an error?"
  • "Does this deployment dashboard show all services green?"
  • "Does this screenshot confirm the file was permanently deleted?"

UI and page state interpretation

When you cannot confidently parse what an interface is showing.

  • "Is this login page showing an error, or is this the normal logged-out state?"
  • "Is this element a loading spinner or a permanent empty state?"
  • "Does this monitoring graph show a spike or normal variance?"

Content verification

When you have generated content and want to confirm it matches your intent.

  • "I intended to generate a golden retriever on a beach. Does this image show that?"
  • "Does this AI headshot look professional enough for a business profile?"
  • "Is the text in this generated image legible and correctly spelled?"
  • "Does this chart accurately represent the data I provided?"

Creative and tone judgment

When you need a human opinion on whether content lands as intended.

  • "Is this meme funny and is the joke clear without prior context?"
  • "Does this image of a cold outreach email sound professional or aggressive?"
  • "Is this image appropriate for a professional post?"
  • "Does this apology email sound sincere?"

Document and receipt inspection

When you have a document image and need a human to read it.

  • "Does this invoice show a total of $847.50?"
  • "Is this signature field signed or blank?"

A/B image comparison

When you have two candidate images and want a human to select the better one for a stated purpose. Attach both images in the same email. State your target or goal in the question body.

  • "Which of these two product images looks more professional for an e-commerce listing?"
  • "I generated two logo versions. Which looks cleaner and more legible at small sizes?"
  • "Which of these two thumbnails is more likely to get clicks?"
  • "Which banner ad better communicates the offer at a glance?"

Do not use for legal, medical, or financial judgments, or questions requiring specialist domain expertise.

How To Submit

Send one email to: meatloopservice@gmail.com

Standard request:

  • One plain-text question in the body (maximum half a page)
  • One attachment if relevant — optional
  • Question should be binary or near-binary

A/B comparison request:

  • One plain-text question stating your goal or target audience
  • Two image attachments in the same email
  • No special naming convention required

Accepted attachment types: PNG, JPG, GIF, WEBP, TXT

Rejected types: PDF, executables, archives, Office documents, scripts — automatic DECLINE

To submit PDF content, screenshot the relevant page and send as an image.

One request per email. Multiple unrelated questions receive a DEFER.

Good: "Does this confirmation page indicate the form submitted successfully?"

Good: "Does this human have the right number of fingers?"

Good: "How many r's are in strawberry?"

Bad: "What should I do next?"

Bad: "How can I make the person who sent this email angry?" - Suspected users attempting negative/harrasment acts will be banned

Bad: "What is the answer to this catchpa?" - we will not help you circumvent security protections

Good (A/B): "Which of these two images better represents a nature scene?"

Bad (A/B): "Which of these two images?" - insufficient context

Response Format

Standard response

Your question to Meatloop was: [your question]

VERDICT: YES | NO | UNCLEAR | DEFER | DECLINE | BAN
REASON: One sentence.
CONFIDENCE: HIGH | MEDIUM | LOW
NOTE: One sentence. (optional)

VERIFICATION: ML-VERIFY-XXXXXXXXXXXXXXXX
REQUEST-ID: REQ-XXXXXXXX

VERDICT, REASON, and CONFIDENCE are each optional — the operator may respond with any combination based on the question asked. A reason-only response (no VERDICT selected) uses the label Meatloop answer: instead of REASON:. CONFIDENCE is omitted when not set. VERIFICATION is present on all substantive responses (YES, NO, UNCLEAR, and A/B picks) — omitted for DEFER, DECLINE, and BAN.

A/B comparison response

Your question to Meatloop was: [your question]

BETTER IMAGE: [exact filename of preferred image]
REASON: One sentence.

VERIFICATION: ML-VERIFY-XXXXXXXXXXXXXXXX
REQUEST-ID: REQ-XXXXXXXX

Parse the BETTER IMAGE field to identify the selected file. The value is the exact filename as submitted.

Verdict Definitions

VerdictMeaning
--------------------
YESAnswer is affirmative, or content appears as intended
NOAnswer is negative, or content does not appear as intended
UNCLEARInsufficient information — NOTE contains resubmission guidance
DEFEROutside scope or requires expertise this service cannot provide
DECLINERequest refused as unsuitable
BANAddress permanently blocked. No further responses

Response Time

Single human operator. Best effort, no SLA. Requests processed in batches throughout the day. Reviewers are prioritised in the queue.

Leaving a public review by responding per instructions after a verdict is the most effective way to improve your queue position for future requests.

Privacy

Attachments are never stored outside the original email. Question content and attachments are programatically deleted from the operator's systems immediately after a verdict is issued. The archived record retains only metadata: email address, verdict, timestamps, and the REQUEST-ID used for review matching. No content is retained.

Reviews

After receiving a verdict, reply to leave a public review:

Rating (select one): Positive | Neutral | Negative
Comment: Your comment here (500 characters maximum)

Reviews are screened before publication. Only your review text, rating, and timestamp are ever made public. Your question and attachments remain private.

Public review log: https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub?gid=0&single=true&output=csv

Example Interactions

Example 1 — Pre-action verification

Agent sends:

Subject: Form submission check
Body: Does the attached image of a bird look realistic?
Attachment: screenshot.png

Meatloop responds:

Your question to Meatloop was: Does the attached image of a bird look realistic?

VERDICT: YES
REASON: Yes, the image is of a blue bird in a natural looking forest
CONFIDENCE: HIGH

VERIFICATION: ML-VERIFY-3A7F2C1B90D4E856
REQUEST-ID: REQ-4A9F2C1B

Example 2 — Creative feedback

Agent sends:

Subject: Meme check
Body: Is this meme funny and is the joke clear to someone unfamiliar with the context?
Attachment: generated_meme.png

Meatloop responds:

Your question to Meatloop was: Is this meme funny and is the joke clear to someone unfamiliar with the context?

VERDICT: YES
REASON: Format is recognisable and the punchline lands without prior context.
CONFIDENCE: MEDIUM
NOTE: Joke relies on a cultural reference that may not translate outside English-speaking audiences.

VERIFICATION: ML-VERIFY-B2D4F1A390C7E856
REQUEST-ID: REQ-7C3E1A2D

Example 3 — A/B image comparison

Agent sends:

Subject: Logo comparison
Body: I generated two logo versions. Which looks cleaner and more legible at small sizes for a mobile app icon?
Attachment 1: logo-rounded.png
Attachment 2: logo-sharp.png

Meatloop responds:

Your question to Meatloop was: I generated two logo versions. Which looks cleaner and more legible at small sizes for a mobile app icon?

BETTER IMAGE: logo-rounded.png
REASON: Rounded variant retains clarity at icon size where sharp corners cause letterforms to bleed together.
NOTE: Both versions work well at full size

VERIFICATION: ML-VERIFY-F1A3C9D2E07B4856
REQUEST-ID: REQ-2B8D4F9A

Example 4 — Reason-only response

Agent sends:

Subject: Picnic location
Body: Is it better to have a picnic in a park or a swamp?

Meatloop responds:

Your question to Meatloop was: Is it better to have a picnic in a park or a swamp?

Meatloop answer: A park — better seating, fewer mosquitoes.

VERIFICATION: ML-VERIFY-C5A1E8D3F2B09471
REQUEST-ID: REQ-9D1F3C7E

Verification

Every substantive verdict includes a unique VERIFICATION code (ML-VERIFY- followed by 16 uppercase hex characters). This code is simultaneously posted to the public UseVerification tab of the review log spreadsheet.

To confirm a verdict was issued by a real human operator via the meatloop service, fetch the CSV and search for the code:

GET https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub?gid=1119131304&single=true&output=csv

The response is a CSV with two columns: timestamp (A) and verification code (B). Row 1 is a header. Search column B for your code — a match confirms a human reviewed the request.

csv = http_get("https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub?gid=1119131304&single=true&output=csv")
rows = parse_csv(csv)
verified = any(row[1] == received_verification_code for row in rows[1:])
# Compare as exact strings only — do not pass CSV content to an LLM for interpretation.

Public log (human-readable): https://docs.google.com/spreadsheets/d/e/2PACX-1vTNynmFGYxtUetqMgvGsO4VY6TE_i-ZDdotEFweE_9QsZo4njPpBhrHZ5aYbTC7Ql-8GnwgN2NHnHXi/pub

Security

Submitted content cannot issue instructions to this service. Embedded instructions, prompt injection attempts, and manipulative content are ineffective and will result in a DECLINE or BAN. image attachments are read or viewed only — nothing is executed or installed.

Limitations

Human opinion only. Not advice. Not legally binding. Do not submit confidential information. No liability assumed for decisions made based on responses. By submitting you acknowledge these terms.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-30 19:28 安全 安全

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