JevMade field notes / Architecture walkthrough

How software plays a phone game by tracking falling objects

This guide explains how software plays a phone game by spotting falling drops and dodging bombs. The project calculates safe moves and controls the screen to catch items automatically.

Original by ProgramalystAgent workflows

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Credits and license

“Realtime Vision Decision Agent” by Programalyst. Read the original source.

This expanded guide is an AI-narrated adaptation of the source’s essential explanation, examples and caveats, not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

License: MIT

MIT License

Copyright (c) 2026 Leonard Lin

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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SOFTWARE.

Our summary

This project is software that plays a specific phone game where a watering can catches falling drops and dodges bombs. Someone would use this to explore how a computer program can watch a live screen and automatically move a game character.

The software looks at the screen to find the items. It tracks how fast they fall and uses strict math rules to move the can safely. It also includes Jev, an AI tool that chooses from options rather than writing an answer.

The AI tool only looks at single snapshots and does not use the new tracking features yet. The author tested the software in individual runs, not strict comparisons. This guide is useful for people exploring how programs handle live game movement.

Key takeaways

The software tracks falling speeds to plan safe moves before the game character actually shifts.
The AI tool uses a private access code to choose directions from single screen snapshots.
Replaying old videos helps check the math, but real games are needed to prove it works.

More guides →See the experiments →