on-demand webinar
22 August, 2025
Context Is the New Oil: Powering Faster, More Reliable QA with the right inputs
Prompting was just the start. Smarter Testing Starts with Smarter Context
Generating code through prompt engineering was exciting until it started working on guesses. And then came the inconsistencies. Tests were flaky. Assertions were off. Critical flows got missed. For QA teams, that means missing test cases, wrong assertions, and hallucinated and unpredictable results. One tester gets great coverage. Another misses critical flows.
Your team can’t rely on it, especially not at scale.
If AI is the engine, context is the fuel. It’s the practice of feeding your AI agent exactly what it needs: intent, historical state, live data, tool access so it can perform real tasks across steps, not just respond line by line. Not just prompts, but actual product signals like Jira stories, Figma designs, past test outcomes, and user data the stuff your team already works with.
Most test creation today is 100% variable, everything depends on how someone writes the prompt. That’s risky.
With Context engineering, you now have guardrails. Not only does this increase accuracy, but it also ensures every team member, even non-coders, gets usable, predictable results.
In this on demand session, we’ll walk you through how to structure that context, reduce the variables AI has to guess, and put the right guardrails in place so your AI coworker (like Atto) can deliver predictable, production-ready test cases.
We’ll show how leading QA teams are moving away from prompt roulette and building smarter, scalable automation with humans in the loop.
What You’ll Learn
Why unstructured prompting breaks down in QA
And how context engineering solves for guesswork, hallucinations, and flaky results.
The power of guardrails: Fix 2 out of 3 inputs
We’ll show how increase the constant percentage in order to get more consistent, realisitc and usable results
How everybody can contribute to testing without having to write code
AI agents + structured context = no need to learn syntax.
Testsigma Platform Demo
Watch a live prompting session with Atto (our AI agent) turn plain English prompts into usable test cases, and how you can increase the constants and decrease the variables. You might even catch a glimpse of Atto hallucinating!
You shouldn’t miss this if..
- You want to speed up testing, but want something more than just a demo
- You’re curious about GenAI but don’t want to rely on “prompt magic”
- You need faster releases, but not at the cost of quality
Get instant access
Prompting was just the start. Smarter Testing Starts with Smarter Context
Generating code through prompt engineering was exciting until it started working on guesses. And then came the inconsistencies. Tests were flaky. Assertions were off. Critical flows got missed. For QA teams, that means missing test cases, wrong assertions, and hallucinated and unpredictable results. One tester gets great coverage. Another misses critical flows.
Your team can’t rely on it, especially not at scale.
If AI is the engine, context is the fuel. It’s the practice of feeding your AI agent exactly what it needs: intent, historical state, live data, tool access so it can perform real tasks across steps, not just respond line by line. Not just prompts, but actual product signals like Jira stories, Figma designs, past test outcomes, and user data the stuff your team already works with.
Most test creation today is 100% variable, everything depends on how someone writes the prompt. That’s risky.
With Context engineering, you now have guardrails. Not only does this increase accuracy, but it also ensures every team member, even non-coders, gets usable, predictable results.
In this on demand session, we’ll walk you through how to structure that context, reduce the variables AI has to guess, and put the right guardrails in place so your AI coworker (like Atto) can deliver predictable, production-ready test cases.
We’ll show how leading QA teams are moving away from prompt roulette and building smarter, scalable automation with humans in the loop.
What You’ll Learn
Why unstructured prompting breaks down in QA
And how context engineering solves for guesswork, hallucinations, and flaky results.
The power of guardrails: Fix 2 out of 3 inputs
We’ll show how increase the constant percentage in order to get more consistent, realisitc and usable results
How everybody can contribute to testing without having to write code
AI agents + structured context = no need to learn syntax.
Testsigma Platform Demo
Watch a live prompting session with Atto (our AI agent) turn plain English prompts into usable test cases, and how you can increase the constants and decrease the variables. You might even catch a glimpse of Atto hallucinating!
You shouldn’t miss this if..
- You want to speed up testing, but want something more than just a demo
- You’re curious about GenAI but don’t want to rely on “prompt magic”
- You need faster releases, but not at the cost of quality
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