Checkilex: Local AI for the Final Handoff

Description and use

Checkilex uses a local Qwen model to generate checklists from briefs, verifies a web page, and outputs a Markdown report with screenshots and an "Unverified" status for email delivery.

Problem

Freelance web developers need a reliable way to turn a brief into a reviewed checklist and prove that a landing page meets client promises, but manual checklist creation is time‑consuming and error‑prone.

Outcome

Checkilex produced a verified checklist for a good fixture and identified three failed checks for a defective café, while correctly marking email delivery as Unverified in both cases.

Workflow

• Paste an English or Roman Urdu brief into Checkilex
• The local Qwen model proposes up to eight checks linked to the brief text
• Review and correct the proposed checks
• Inspect the target page in a developer‑controlled local browser context
• Checkilex captures desktop (1366×900) and mobile (390×844) screenshots
• Generate an exportable Markdown report with findings and Unverified email status

Evidence

Checkilex helps a freelance web developer turn a brief into a reviewed checklist and a record of what the page actually proves.

Source

Paste an English or Roman Urdu brief. A local Qwen model proposes up to eight checks, each attached to the client's original wording.

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The result includes desktop/mobile captures and an exportable Markdown report.

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The email-delivery promise stays Unverified in both.

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The application is MIT licensed. All application code, café fixtures and evaluation briefs were written during this challenge window.

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The model returns structured check data. Literal text, link labels and destinations are grounded in the source quote.

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Performance is unfinished. The single-requirement revision cases took 5.2–13.3 seconds on my i5-8350U laptop.

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