~/islandside.dev

Field notes from game dev & applied AI.

I'm Bradley Bayley — a game developer & ai engineer. This is where I write about UEFN/Verse, agent automation, and the quantitative logic underneath both.

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Featured ProjectUEFN · Verse

Zombie Tycoon

A wave-based survival tycoon built in Unreal Editor for Fortnite — part roguelike economy, part horde-mode adrenaline. Every system from upgrade pacing to spawn waves runs on a Verse simulation tuned with quantitative balance models.

stackUEFN / Verse
statusLive
tuningMonte-Carlo
players1–4

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zombie_tycoon.verse

# wave scaling
WaveScalar := 1.27
SpawnRate := Floor(Players * 8.4)
PayoutCurve := e^(0.18·t)

# zombies arrive in seconds
running

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Game Dev

Building Zombie Tycoon in UEFN: Wave Pacing in Verse

How I tuned wave-by-wave difficulty in Zombie Tycoon — a UEFN survival tycoon — using Verse, an exponential payout curve, and a touch of Monte-Carlo balance.

April 22, 20264 min read

AI & Automation

Agents That Actually Finish: Five Patterns From Production

Five LLM-agent patterns I keep reaching for when I need an agent to reliably complete real work — not just demo well.

March 14, 20264 min read

Quantitative Logic

Poisson Arrivals: A Quant Toolkit for Game Balance

The Poisson distribution shows up everywhere in game design — drop rates, enemy spawns, queueing — and most of the time we're using it wrong. A short primer.

February 8, 20264 min read