The Meadow Whisper

Executive Summary

The Meadow Whisper is a storybook conversation game supplied by Tim Howley. Meet four fictional rabbits in different habitats, combine approaches to a conversation, and offer the food each character prefers. The game invites discussion about assumptions, how questions are framed, and respecting another creature's space.

This is an authored simulation. Its trust, alert, and clue meters are game scores. The dialogue and food choices belong to the story; they are not wildlife care or feeding guidance.

Before You Play

Choose a rabbit, then select approach strategies or type a question into the composer. Press Whisper to the Rabbit to see the response. Food choices unlock when trust reaches 70% and alert is 45% or lower. Offering the character's matching food records a friendship.

You can switch among Barnaby, Thistle, Pippin, and Luna. Switching resets the encounter's meters; friendship markers remain until you reload the page. There are no accounts or saved progress between sessions.

Controls and Accessibility

• Use a mouse or touch input to choose rabbits and approach cards. Type into the question field and use the Whisper button to submit.
• The current rabbit tabs and approach cards are clickable elements without full keyboard support. This preserved prototype does not provide a complete keyboard-only route through the game.
• The Audio button turns synthesized sound effects on or off. The initial setting is on, with playback dependent on browser interaction rules.
• Text, numbers, and an ASCII rabbit communicate the responses. Motion and color also contribute to the presentation.
• The game loads Google Fonts and has fallback fonts. The questions are handled locally; no AI service evaluates them.

How We Made This with Generative AI

Tim supplied the game through the REN-859 proposal. The original model, prompts, and development sessions were not documented in the supplied source.

For the Game Room integration, Codex extracted the HTML text from a Word document, preserved the document and HTML checksums, and prepared the brief, credits, and portable package. Mike approved the recovered game and authorized its source commit, merge, push, and Game Room integration on September 20, 2026. The approved gameplay file is preserved byte for byte.

The Gory Details

The runtime combines HTML, CSS, and JavaScript in one file. Four character records supply the strategies, score changes, dialogue, and preferred food. Web Audio oscillators generate the sound effects.

Selected strategies add fixed scores each time a question is submitted. Additional uppercase and substring checks recognize a small set of phrases. The game does not understand the meaning of an arbitrary question. Repeating a rewarded approach can raise trust again.

The clue meter does not control the revealed answer: once the trust and alert condition is met, the character names its preferred food. The current success condition is feeding that food; leaving the rabbit alone is not a scored ending. These choices make the prototype useful for discussing what a learning game's scoring system actually rewards.

The original source also inserts literal backslash-n text between combined approaches. This visible rough edge is preserved with the approved game. The Game Room owns its catalog and rooms; the game repository owns this source, learning record, provenance, and package.