#Japan #Tokyo #Test Automation #MagicPod #AI Assertion

MagicPod's AI Assertion: Revolutionizing Test Automation

In a significant stride towards improving test automation, MagicPod, a renowned provider of AI-powered cloud services, has unveiled its latest feature, AI Assertion. Founded in Tokyo, Japan, MagicPod's mission has always been to streamline end-to-end testing without requiring extensive coding skills. The new AI Assertion adds a powerful layer to its existing capabilities, utilizing generative AI to enhance the process of test case verification.

Understanding AI Assertion

So, what exactly is AI Assertion? Simply put, it's a feature that allows users to describe expected outcomes in natural language (both Japanese and English) within their test cases. This innovative functionality enables the generative AI to understand the context of the screen and text content, automatically performing necessary checks. For instance, one can give an instruction like, “Confirm that the text is not garbled,” and the AI will execute the necessary validations seamlessly.

Importantly, AI Assertion is designed for both browser and mobile app testing, marking a major expansion of the tests that MagicPod can automate. This broadens the horizon for developers and testers in ways that were previously complicated with logic-based automated tests.

Expanded Capabilities

With AI Assertion, numerous checks that were once challenging due to the need for human intuition can now be automated. For example:

• - Design Conformance: It can confirm whether any design inconsistencies exist, which requires a nuanced human assessment.
• - Complex Screens: Screens that change dynamically, such as feeds and lists, can be validated effectively, a task that was previously fraught with inconsistency.
• - Data Consistency: AI Assertion can assert the coherence between search criteria and results, which necessitates a deeper understanding of data semantics.

Furthermore, the AI’s decision-making process on check success or failure is logged for transparency, proving reliability. The innovative image caching mechanism also minimizes the unnecessary calls to generative AI logic, thus mitigating potential inconsistencies or performance slowdowns.

Enhanced Testing with AI

Alongside AI Assertion, MagicPod has enriched its toolkit, previously featuring the MagicPod Autopilot for test creation and the AI Auto Repair for maintaining test integrity. Collectively, these tools enable comprehensive AI support across the stages of test development, verification, and management.

Flexible Use Cases

AI Assertion offers remarkable flexibility, allowing testers to merely set the required checks in their target screens using either Japanese or English. Some specific scenarios include:
1. Image Verification: Confirming whether the intended image is displayed correctly, where human judgement is indispensable.
2. Dynamic Content Testing: Validating complex and frequently changing screens like maps or feeds.
3. Data Integrity Tests: Ensuring the searched criteria and outcomes align cohesively.

New Credit System for Generative AI Features

Previously, MagicPod’s generative AI functionalities were available without restrictions. However, as they roll out AI Assertion, a new system for free usage limits and credit purchases will be introduced, starting November 8, 2025. Users exceeding the free usage limit can still utilize additional credits to maintain continuity.

The credit system will provide:

• - An initial free credit allocation of 100 credits.
• - A monthly allocation depending on the subscription plan (10 credits for the Standard 2025 Plan and 5 credits for the previous Standard Plan).
• - Each credit priced at 100 yen (excluding tax).

The estimated credit consumption for various functionalities indicates that creating a test step for one screen averages 0.3 credits, while executing one AI Assertion check consumes about 0.1 credits.

Future Enhancements

MagicPod is committed to continuously enhancing its generative AI capabilities. The upcoming features include:

• - Context-Aware Test Repairs: Applying AI Auto Repair with the test creation engine of MagicPod Autopilot to further understand user intent.
• - Improved Locator Generation: Proposing more maintainable locators based on screen state and test results.
• - Integration with MagicPod MCP Servers: Enabling test case creation from external AI agents.
• - Bulk Test Generation from Procedure Documents: Leveraging the MagicPod Autopilot engine to create numerous automated test cases from written documents combined with Excel.

These advancements are set to eliminate obstacles, ensuring tests can operate autonomously once automated. This means users will no longer experience instances where automated tests mysteriously fail or don't run.

Getting Started with AI Assertion

Both AI Assertion and MagicPod Autopilot are easy to enable in the MagicPod cloud environment, requiring only a simple activation from organization administrators. Further information on plans and pricing details can be obtained from the official MagicPod help page.

About MagicPod

MagicPod stands out as a powerful platform supporting both mobile app and web application testing without requiring specialized programming skills. This intuitive design, combined with the flexibility offered by cloud services and AI-driven test corrections, significantly accelerates release cycles. Over 500 companies in the IT sector have already adopted MagicPod, streamlining their testing processes.

For more information on MagicPod, visit MagicPod's official website. Explore undisputed capabilities, including the introduction video and subscribe to their newsletter for the latest updates and events.