Networking Doesn’t Have to Feel Like a Performance. Here’s How to Do It Your Way.

This post reframes networking for introverted game developers, emphasising meaningful, sustainable connections over superficial interactions. It highlights the importance of being known in a small industry where most opportunities arise from personal relationships. By contributing genuine value and engaging in community spaces, developers can build impactful networks without the pressure of traditional networking methods.

Stop Waiting Until It’s Perfect. Start Showing Your Work Now.

The post discusses "Working Out Loud," emphasising the importance of sharing one's process and thinking in creative-technical industries. It argues that visibility and consistency are more valuable than perfection. The post encourages regular posting on platforms like LinkedIn and itch.io, as well as creating a personal website, to build professional reputation and gain opportunities.

You Already Have the Skills. You Just Don’t Know What to Call Them.

Many individuals aspiring to enter game development underestimate their transferable skills from previous jobs. These skills, such as customer empathy and project management, are applicable within the gaming industry. By recognising and articulating these capabilities, candidates can effectively ladder into new roles, showcasing their unique backgrounds as assets rather than liabilities.

The First 60 Seconds Could Change Your Career — Here’s How to Own Them

The post discusses the importance of clear communication in the game industry, emphasising the "First Minute" framework, which helps articulate ideas effectively within one minute. By focusing on context, intent, and key message, and applying structures like Goal, Problem, and Solution, individuals can make their pitches concise and impactful, enhancing their career prospects.

How to Govern Prompt, Context, and Fine‑Tuning Data in the “Acquire” Stage

In Generative AI, the concept of "Acquire" extends beyond training data to include fine-tuning, retrieval contexts, and prompts. Effective governance is crucial to prevent issues like IP leakage and bias. A structured approach involves defining data usage policies, curating knowledge sources, and treating prompts as governed assets, ensuring safety and compliance in AI initiatives.