Case Study: How AI Game Development Interviews Helped Users Gain Confidence — and Spot Gaps in their CV
Breaking into the games industry is tough — especially when you’ve done all the right things: the degree, the courses, the portfolio. That was Matthew’s challenge. A r...
Breaking into the games industry is tough — especially when you’ve done all the right things: the degree, the courses, the portfolio. That was Matthew’s challenge.
A recent university graduate with a passion for 3D modelling and animation, Matthew had applied to several roles in game development but hadn’t landed a job. Like many first-time applicants, he struggled with interview confidence, and he wasn’t sure whether his CV truly reflected his skills.
That’s where Pxl-Persona’s AI avatars came in.
Creating a Personalised Interview Scenario
In late 2024, as part of our early testing phase, Matthew became one of the first users to trial Pxl-Persona’s AI interview simulation.
Working with our parent company Scenegraph Studios, we designed a custom interview scenario focused on entry-level roles in 3D game development — the exact type of job Matthew was going for.
Here’s what we set up:
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A role-specific avatar interviewer based on real job descriptions we’ve seen in games industry hiring
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A CV uploaded to the Pxl-Persona AI system, so the avatar could reference it and spot weaknesses and strengths
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Our Retrieval-Augmented Generation (RAG) pipeline to guide the avatar’s questions with precision and personality
Matthew’s first session was quiet. Understandably so.
“He was short with his answers,” recalls Dr David Tully at Scenegraph. “Not because he didn’t know what to say — just nerves. The typical first-time interview freeze.”
Progress Across Interviews: From Quiet to Confident
By his second AI interview, something had shifted. Matthew was more relaxed, more expressive. He spoke in longer sentences, started to enjoy the conversation, and leaned into the simulation.
By the third session, the change was pleasantly dramatic. He was confidently talking about:
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Recent tools he’d picked up (like Z-Brush, Blender, Unreal Engine)
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Projects he’d worked on at home
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What he wanted from a team and workplace
The avatar guided the conversation, asked smart follow-ups, and let him speak — as a real interviewer would.
Spotting What’s Missing: CV Feedback from the AI
After every session, Pxl-Persona generated a feedback document that included:
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Personalised suggestions for improvement
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Up to three example “good” answers for comparison
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Insights into missed opportunities or unclear communication
After the third session, the AI flagged something important:
The tools Matthew had spoken about — Z-Brush, Blender, Unreal — weren’t listed anywhere on his CV.
The avatar, thanks to the integrated CV and LLM setup, compared his spoken responses with his written application and spotted the disconnect.
Matthew updated his CV accordingly — and shortly after, he was invited to his first face-to-face interview.
Outcome: No Job… Yet
Matthew didn’t get that first job — but the team saw something much more important:
“He walked away from the interview confident,” said Dr Tully.“Not defeated, not unsure. Just ready for the next one.”
In fact, his mindset inspired the team to build new features:
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Improved AI summary tools
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Email follow-ups so users can export their session feedback
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Expanded testing of different LLMs to improve accuracy and conversational flow
What Pxl-Persona is Building Next
We’re now developing secure user accounts that will:
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Store CVs, job descriptions, and custom scenarios
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Track performance over time
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Add memory to avatars to build richer, more personal conversations
While single-session avatars are perfect for museum guides or retail assistants, interview training benefits enormously from longitudinal learning.
Because growth doesn’t happen in one go — it happens over time.
"Our AI servers and 3D rendering machines: Homer, Maggie, Bart, and Lisa (our worst machines are Patty and Selma -> joke, they are all powerful machines)" - Dr Tully
Final Thoughts
Matthew’s journey shows what Pxl-Persona is really about:
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Helping people prepare, reflect, and improve — even if they’re not quite there yet.
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Using AI not to take jobs, but to help people get them.
“I didn’t get the job, but I felt confident — and I know the next one’s coming.”— Matthew, aspiring 3D artist
Want to try the same experience as Matthew?Upload your CV, run a simulation, and receive instant feedback — all in your browser.