In Other Words
In Other Words

The cost of being misunderstood

23 July 2026 44:07 Phrase

Listen to episode

About this episode

In a market where 130,000 games compete for attention on Steam Store, and players can get a full refund with a single click, a poor language experience can cost you the player before the game even starts. Tamara Tirják spent a decade building the localization program at Frontier Developments, one of the UK's leading game studios, before moving into independent consulting and research. On this episode of In Other Words, she joins host Jason Hemingway to share what that decade taught her about the business cost of getting language wrong.

Tamara explains why localization is almost always where the cost becomes visible, even when the problem started somewhere else. She shares how AI is fueling unsanctioned "shadow localization" across organizations, and why the gaming industry's hard line on AI-generated content, including a Game of the Year winner losing its award over AI placeholders, carries weight well beyond games.

Plus, she talks about helping invent Planco, the fictional language used in Planet Zoo, and what it taught her about how players respond to language even when they don't understand a word of it.

What You'll Learn:
  • What happens when 130,000 competitors are one refund button away
  • The Game of the Year that lost its award over AI
  • What a language where "wippi" means happy reveals about player experience
  • The rise of "shadow localization" inside organizations
  • Why your language team is the strategic asset you're not using

Tamara Tirják is an independent localization consultant and researcher with over a decade of experience building localization programs at Frontier Developments, one of the UK's leading game studios. Specializing in game localization strategy, language operations, and the business value of multilingual content, Tamara has led high-velocity content pipelines for premium titles including Elite Dangerous and Planet Zoo, where she contributed to the creation of Planco, a fully constructed fictional language. Her research with Nimdzi explores why localization teams struggle to prove ROI and how organizations can reframe language as a revenue enabler rather than a cost center.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do so are here.

Highlights and YouTube Chapters:
  • 00:00 Introduction
  • 01:59 From translator to strategic leader
  • 03:41 Building a localization ecosystem in a game engine
  • 07:34 The hidden cost of proprietary tools
  • 09:54 Automation that works when it breaks
  • 14:22 Why localization keeps losing the business case
  • 17:29 130,000 competitors and a refund button
  • 21:06 Turning data into strategic influence
  • 25:50 Velocity vs. scale: Two models for trust
  • 30:55 Why AAA gaming still resists AI content
  • 34:39 Inventing a language for Planet Zoo
  • 39:44 Across Markets Reading the revenue curve across markets
  • 41:51 The biggest untapped opportunity in global business

Episode Resources:
  • Tamara Tirják, Localization Leader & Consultant
  • Jason Hemingway, CMO at Phrase
  • Phrase Website


Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 In Other Words. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.