pie.inc valid

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Claim my listing on Agent Web Map for pie.inc:
1. POST https://agentwebmap.com/v1/sites/pie.inc/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://pie.inc/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/pie.inc/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/pie.inc).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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Pie - AI QA Agent for Web, iOS and Android

Pie is an AI QA agent for web, iOS and Android apps. It tests every change like a real user, catches what breaks, and opens the fix as a pull request for your team to review. No scripts to write, no selectors to maintain. Ship the feature. Not the bug.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T23:35:42.632Z. Cached copy · Source on pie.inc

# Pie - AI QA Agent for Web, iOS and Android

> Pie is an AI QA agent for web, iOS and Android apps. It tests every change like a real user, catches what breaks, and opens the fix as a pull request for your team to review. No scripts to write, no selectors to maintain. Ship the feature. Not the bug.

## About Pie

Pie replaces scripted test automation with AI agents that explore applications like real users. Instead of writing and maintaining brittle Selenium or Playwright scripts, teams connect their app and Pie discovers features, generates tests, and keeps them working when the UI changes.

**Key differentiators:**
- Pie writes and maintains the tests: no scripts to write, no locators to break
- Vision-based execution: agents act on what is on screen, not on CSS selectors or XPaths
- Self-healing tests that survive redesigns
- Autonomous discovery: Pie explores the app and generates tests before anyone writes a test plan
- One platform for web, iOS and Android, with the same test logic and one configuration
- Runs in your IDE via MCP, and in your GitHub/GitLab workflow via Pie Loop
- Results in hours, not weeks

## How Pie Works

1. **Discover:** Pie explores the application and generates test cases for the flows it finds. Teams add their own in plain English.
2. **Run:** AI agents execute the tests against the web app, or against iOS and Android builds, deciding each step from the rendered screen.
3. **Report:** Findings are clustered into issues with a root cause, so one broken button is one issue, not fifteen duplicate tickets. Flaky and test-data noise is filtered automatically. A Readiness Score (starts at 100%, banded stable/caution/blocker) summarizes release health.
4. **Fix:** Pie can investigate an issue and prepare a fix PR for review, depending on configuration and approval.
5. **Adapt:** When the UI changes, tests adapt instead of breaking.

## How Pie Compares to Other Approaches

Pie is not a replacement for every layer of quality. It covers the runtime layer the others miss.

- **Scripted frameworks (Playwright, Selenium, Appium, Cypress):** precise, deterministic checks that engineers own. They break on UI changes and only assert what someone predicted, so a suite can pass while checkout renders $0.00. Pie reads the screen instead of selectors and runs alongside an existing suite. See [Pie vs Selenium](https://pie.inc/comparisons/pie-vs-selenium/).
- **AI code review (CodeRabbit, Greptile):** reads the diff and catches problems in the code. It never runs the app, so rendering, state and flow bugs that only exist at runtime get through. Teams run code review and Pie together.
- **A coding agent testing its own work (for example Claude Code):** useful for quick checks during development, but not repeatable, not independent, and without memory of the product across releases. Pie is the independent check that runs the real UI on every push.
- **Outsourced or managed QA:** still scripts plus a human queue. Months to ramp, coverage
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