Applied research / AI Agent Xcelerator
The experiment, and what it showed.
The task was to recreate Bounce Tales with at least five levels in one HTML file containing HTML, CSS and JavaScript. The exercise forms part of the program's classroom research into how prompt structure, reference images, access limits and corrective feedback affect the outputs obtained.
01
Define the target
Use the supplied game images and a fixed output requirement: a single browser-game file.
02
Inspect the result
Compare visible design with the reference and assess how the game behaves. Appearance alone cannot verify playability.
03
Correct and record
Argon's initial movement was too fast according to the instructor. A corrective second attempt produced the preferred result.
Corrected classroom order
Gemini Argon → ChatGPT Sol 6.1 High → Claude → Qwen
Argon was preferred after feedback. ChatGPT placed second. Claude produced visible gameplay but free-plan limits constrained iteration. Qwen's supplied capture shows a blank playfield with a visible HUD. DeepSeek is recorded separately as an unsuccessful attempt; no build was supplied.
This is exploratory classroom research, not a controlled benchmark or a universal model ranking. Labels follow the classroom account. No numerical similarity scores were measured.