CASE STUDY / AI FUN EXPERIMENT

Parrot’s Feast: experimenting with AI through play.

Parrot’s Feast turns experimentation by engineers and developers working with Project360 into something tangible: code, generative media and game mechanics converge in a public release anyone can open and play.

Original Parrot’s Feast game start screen
Parrot’s FeastItalyOpen-source creative experiment
100% AI-assistedCode, images and music
Browser gameA complete, playable web demo
Open sourcePublic code and experiment
Parrot’s FeastOrganisation / project
Project statusExperiment

A PLAYABLE EXPERIMENT

Technical curiosity, creativity and a real release.

FROM PROMPT TO GAME

AI as an iteration partner

Developers working with Project360 built the code with GPT-4o support, selected backgrounds and game objects generated with DALL·E 3, and integrated musical landscapes created with Suno. Rules, collisions, scoring, touch, keyboard, audio and progression were then validated as one browser system.

The original start screen introduces an immediate experience available on desktop and mobile browsers.

Play can produce serious capability

Experimenting without the weight of a commercial roadmap creates room to test tools, models and techniques more freely. Parrot’s Feast follows this logic: use AI to turn a light idea into complete software that is published and playable.

A small but complete system

Behind a simple interaction sit input handling, movement, collisions, levels, scoring, bonuses, penalties, audio, fullscreen and touch adaptation. Every part requires real decisions and validation of the complete behaviour, just as it would in a larger MVP.

Generative media under human direction

Backgrounds, objects and music were produced with generative tools, while selection, coherence and use remained design decisions. The experiment helps reveal where a model accelerates work, where it introduces inconsistencies and when code or assets need direct intervention.

Develop with assistance, validate directly

GPT-4o supported the writing and evolution of the code. Each proposal was still tested in the browser, corrected and integrated with the other components. This short cycle makes one principle visible: AI can increase speed, while the outcome still needs verification, technical ownership and attention to experience.

Experimentation as Project360 capability

The team moved from concept to a complete release: game structure, JavaScript logic, desktop and touch input, asset pipeline, audio, interface states, testing and static publishing. Its value for Project360 lies in testing an AI-assisted process while retaining creative direction, code control and responsibility for the outcome.

From experiment to real products

The same method can support internal automation, interactive prototypes, learning simulators, configurators, engagement experiences and proof of concepts. Project360 can define the bounded objective, choose where AI truly accelerates work, integrate generated outputs into software, validate the experience and prepare a technical base that can evolve.

FROM PROJECT TO INDUSTRY

IndustriesProfessional Services & E-Procurement
Explore the complete portfolio

Does your project have many moving parts to connect?

We start from context, dependencies and the decisions needed to build a credible path.

Let’s talk
PRIVACY / CONSENT MODE V2

We use technical storage required by the site. Google Analytics remains blocked until you choose to allow anonymous usage measurement.