What is this?
Game Dev AI Guide by HALP is a decision-support tool for game developers evaluating where AI can (and can't) help across an 18-month development cycle. It covers 14 disciplines, from engineering and art to production and live ops.
How it works
Answer 6 questions about your role, engine, team size, development phase, biggest pain point, and which AI categories you're open to. The tool scores 36 embedded recommendations against your profile and surfaces the top 5, ranked by relevance.
What you get
- Personalized recommendations with implementation difficulty, risk levels, and key caveats surfaced upfront
- Honest risks and caveats for each recommendation — not just hype
- A concrete next step you can act on immediately
- GPU vendor tool callouts where relevant (upscalers, profilers, AI frameworks)
- A Caution Zone flagging where AI is unreliable or controversial for your discipline
- A heat map showing AI opportunity density across categories
Design principles
- Concrete, not inspirational — every recommendation includes specific tools and measurable outcomes
- Developer skepticism is treated as rational, not as resistance to overcome
- Speculative opportunities are clearly separated from proven ones via confidence ratings
- AI is not assumed to be always beneficial — the Caution Zone exists for a reason
Privacy
Your intake answers are processed entirely in your browser and are never sent anywhere. The sentiment poll stores anonymous vote counts (no personal data) via Firebase so results can be shared across visitors. Basic page analytics (visit count, referral source) are collected via Google Analytics to help improve the tool. No sign-up, no cookies, no personal data.
Disclaimer
This is an early prototype of a tool with the intention to help game developers cut through all the noise that is out there regarding AI. With the speed that AI moves, it is possible that the material becomes outdated or tools advance faster than what is listed here. Recommendations, tool references, and time-savings estimates reflect conditions at the time of creation and should be verified against current sources before making production decisions.