Ask Katalon Anything (AKA) #10 is officially live!
This round, we’re inviting you to join an open discussion on AI Readiness with True Platform.
From April 9 to April 21, Katalon Product Managers and Engineers will be here in the Katalon Community to answer your questions, share practical insights, and discuss how modern QA teams can prepare for AI-driven quality with True Platform.
Whether you are exploring AI in testing, thinking about team readiness, or curious about how connected workflows can help your QA process, this is your chance to ask directly.
1. Timeframe
Start Date: April 9, 2026
End Date: April 21, 2026
2. Meet the team
Meet the team behind this round of AKA, including our Product Managers and Engineers working closely on True Platform. They’ll be here throughout the event to answer your questions about AI readiness, modern QA workflows, and how teams can prepare for a more connected, AI-driven quality process.
Anh Chu is the Lead Product Manager behind Katalon True Platform, helping shape the product vision and bring it to life for modern software quality teams. He works closely across teams to connect customer needs, product strategy, and execution, turning ideas into practical solutions that support better testing workflows.
Vi is Team Leader of Product Support at Katalon. She works closely with customers and product teams to turn real-world challenges into better experiences with True Platform and AI-driven quality. If you have questions about putting Katalon into practice in your day-to-day workflows, you’re in great hands.
Tran Le is a Product Manager at Katalon, helping drive the vision and execution of True Platform. She works closely across teams to connect customer needs, product strategy, and practical delivery, turning ideas into solutions that create real value for modern testing teams.
Athul Kannan is a Solutions Engineer at Katalon who is driven by curiosity and a strong interest in testing. His passion for learning has led him to explore how AI can support not only testing, but everyday work and life. That journey has shaped his belief that we are moving into an era where people will increasingly manage AI agents to help carry out their work.
3. Where to ask
You can tag our team based on the topic that feels most relevant to you.
Ask @vi.kim: Getting Started with True Platform → Have questions about setup, navigation, product support, or where to begin with True Platform?
Ask @anh.chu: AI Readiness with True Platform → Ask about product direction, AI readiness, workflow strategy, and how True Platform helps modern QA teams prepare for AI-driven quality.
Ask @athul.kannan: Challenges in AI Adoption → Ask about blockers, concerns, workflow gaps, and practical issues.
Ask @tran.le: True Team Workflows and AI-Driven Quality → Explore how True Team supports connected workflows, collaboration, visibility, and the future of AI-driven quality.
4. What you can ask about
workflow maturity
collaboration across QA teams
fragmented tooling challenges
visibility and reporting
practical readiness for AI adoption
demos or technical expertise
5. Guidelines
Please post your question and tag the person whom you want to ask.
Keep your question related to:
AI readiness
True Platform
testing workflows
team readiness and software quality
Ask one question at a time (we have no limits on the number of questions asked) where possible, so the team can respond more clearly
Please give our PMs and Engineers 1–3 days to respond, as they may also be balancing other priorities
Before posting, check existing replies to see whether your question has already been asked
Keep the conversation respectful, helpful, and on topic
Posts or replies that do not follow these guidelines may be removed so we can keep the event organized and useful for everyone. Thank you!
6. Rewards
We’d love to hear your questions and ideas during this round of AKA.
How to qualify
To join, simply:
Post at least one valid question in any official AKA thread
Keep it relevant to the event theme and topics
What selected participants receive
$20 digital gift card (for 10 selected participants)
Recognition in our event highlights recap
Bring your best question — it could help shape future product and content direction too.
7. Why join this round?
This round of Ask Katalon Anything is more than a product Q&A.
It’s a chance to:
connect directly with the people behind True Platform
explore what AI readiness means for your team
learn from practical discussion
share your challenges, ideas, and expectations for the future of software quality
We’re excited to hear your questions and perspectives.
It not possible to create and share Agent context across my team.
What I want to know is if I setup the context for Katalon AI to think and reply in a specific manner and it should reply the same way to my teammates within same org.
It would be easier to use as a team and get more consistent replies from AI assistant.
@anh.chu
True Platform positions AI agents as “governed” with strong traceability and human oversight.
For AI readiness in enterprise and regulatory contexts, what is your end-to-end audit and reproducibility model for AI-driven actions (e.g., generated test cases, autonomous runs, bug filing, GO/NO-GO decisions)?
Specifically, will True Platform capture and version:
Model + prompt/context inputs
Agent/tool decision chain
Evidence artifacts
Human approval checkpoints
so teams can fully explain why an AI decision was made and deterministically re-run the same workflow across releases and environments?
I am interested in what Katalon is doing about “dynamic” references of our HTML objects within our projects. I reviewed your post on this topic and what you believe you have (Webinar) and I was not overly impressed. As the Webinar showed, you used your product to grab objects in the login only, which in our case, is not where the “dynamic” references are. The login screen has static addressing and yes, I could also get their references using the Spy or Recorder. However, after login, now the objects are dynamic and…blah. (What I tried.) I am not using Katalon for that project at this time as it was so time consuming. Our company is looking into another product to check its usability, but if I am asked to review the situation again, what can, or should, I be doing that can assist me using Katalon and “dynamic” references?
Hello, I am facing this error in Katalon Studio 11.1.1 I am facing this error in the Integration of Katalon Studio and AI Assistant to perform the task that has been request
There was an issue processing your request. This is typically due to the question size or current rate limitations. To help get your answer, please try:
• Clearing the conversation
• Turning off the project context
• Breaking your question into smaller pieces
It happens on Both ASK and Generic Agent, Can it be fixed
Thanks for the detailed context, Dynamics 365 is a known challenge for test automation. Your XPath patterns are actually well-constructed, contains() and starts-with() on partial IDs is the right instinct. The problem is D365 can shift even those partial ID segments depending on form context, user role, or environment, which makes them unreliable as anchors regardless of how well the pattern is written. A few angles worth trying:
1. Switch from ID-based to label-based anchoring If the visible UI labels are consistent, anchor there instead: //label[text()='Your Label']/following::input[1] Labels tend to survive D365 updates better than generated IDs.
2. Check for data-dyn-controlname D365 sometimes exposes this attribute on controls, it’s more stable than id. Worth inspecting in DevTools on your target elements to see if it’s available.
Also, if you revisit Katalon, there are some new updates that are worth checking out.
1. Smart Locator + AI self-healing as a safety net
Smart Locator uses multiple locator strategies simultaneously, so when one breaks, it falls back automatically. It won’t solve every D365 scenario, but it reduces maintenance overhead on elements that do shift between builds.
2. JavascriptExecutor-based keywords
For controls that don’t respond to standard interactions (common in D365 form fields and lookups), custom JS execution gives you direct DOM access as a fallback.
@anh.chu You’re shipping some agents at launch: Requirement Review, Test Case Generator, Autonomous Test Runner, Bug Reporter (Kai), and Insights. For a team that hasn’t adopted any of them yet, what’s the minimum-viable entry point you’d recommend, and which agent tends to create the fastest “aha” moment in the first week?
Hi @vi.kim for a brand-new user landing on TruePlatform with zero Katalon history, what does your recommended first-30-minutes path look like, do you start them in Kai chat, walk them through Studio + TestOps, or lead with the Autonomous Test Runner demo?
For regulated industries (finance, healthcare) where every test has to be auditable and reproducible, how does TruePlatform handle determinism and provenance? Can I trace a Kai-generated test back to the exact prompt, model version, and context it was built from?
Hi @anh.chu, a lot of tools claim “AI agents” now. When Katalon says True Platform has AI agents, does that mean the AI can act on its own, or is it more of an assistant I have to prompt every step of the way? I’m trying to understand where True Platform sits on that spectrum.
If two QAs on my team give the AI conflicting guidance on the same project, how does True Platform handle that, does it track preferences per user, per project, or is there one shared context everyone’s editing?
My leadership is interested in AI testing but keeps asking about compliance and data privacy, when I use the AI features in True Platform, where does my test data and application context actually go? Is anything sent to third-party model providers, and do we have control over that?
@anh.chu Every AI testing pitch promises faster test creation, better coverage, and lower maintenance. In my experience, AI usually trades one pain for another, “write less code” becomes “spend more time reviewing AI output.” For True Platform specifically, what’s the honest tradeoff you’d tell a customer up front, what gets harder or more expensive when you adopt it, even if the overall outcome is better?
Hi @vi.kim , I’m new to Katalon Studio and True Platform, I’m fascinating about what True Platform can do and about to introduce True Platform to my team but I have a question regarding the support. How can we reach out to support and whenever there is an error with True Platform, what should we include when we create a request to the team?
Hi @athul.kannan , Currently I’m amaze by the performance of Katalon AI in True Platform. May I ask what model does it use and is it possible for us to switch to another model or use our own model subscription?
Hi @anh.chu How does the test runner handle stateful or authenticated workflows in complex enterprise apps — for instance, multi-step SAML SSO, role-based access flows, or environments behind a VPN? Is there an agent-level session management layer, or does the team configure that externally?
