docs: position Compliment Forest for Backyard AI
Browse filesExplain the modern everyday problems the product addresses and update the official track tag to track:backyard.
- README.md +15 -1
- docs/build-small-hackathon-article.md +27 -1
README.md
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- modal
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- text-to-image
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- llama.cpp
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- track:
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- sponsor:openbmb
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- sponsor:openai
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- sponsor:modal
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support. Crisis and acute-risk inputs stop before model generation and direct
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the visitor toward human help.
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## Try It
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- Hackathon Space:
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- modal
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- text-to-image
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- llama.cpp
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- track:backyard
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- sponsor:openbmb
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- sponsor:openai
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- sponsor:modal
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support. Crisis and acute-risk inputs stop before model generation and direct
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the visitor toward human help.
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## Backyard AI: The Real Problem
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The Compliment Forest is built for the **Backyard AI** track. It addresses an
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everyday problem in modern society: people carry worries about test results,
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changing jobs, belonging, comparison, and an uncertain future, but the support
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they receive is often vague or disconnected from what actually happened.
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The product gives a person a private place to explain one real concern in their
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own words. It asks what feels at stake, separates known facts from fearful
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predictions, and turns the conversation into understandable options and one
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small action. The illustrated forest makes that difficult reflection feel less
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clinical and easier to approach, while the practical content remains grounded
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in the person's situation.
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## Try It
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- Hackathon Space:
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docs/build-small-hackathon-article.md
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own pace. The words are kind, but they do not help the person understand the
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worry or decide what to do next.
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The Compliment Forest began with a different question:
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**Can a small
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The result is a Gradio application that turns a worry into a five-chapter,
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illustrated walk. It is whimsical on the surface, but its generation pipeline
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is deliberately strict underneath.
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## The Experience
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The visitor starts with a name and one sentence about what is troubling them.
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own pace. The words are kind, but they do not help the person understand the
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worry or decide what to do next.
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These are ordinary problems in modern society. Students can feel that one score
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defines their intelligence. Workers can feel trapped between an unhealthy job
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and fear of an uncertain search. Social comparison can turn one difficult
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moment into a judgment about an entire future.
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The Compliment Forest began with a different question:
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**Can a small model help someone understand one real worry and choose a useful
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next step without becoming generic or pretending to be a therapist?**
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The result is a Gradio application that turns a worry into a five-chapter,
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illustrated walk. It is whimsical on the surface, but its generation pipeline
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is deliberately strict underneath.
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## Why This Is Backyard AI
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We built The Compliment Forest for the **Backyard AI** track because it focuses
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on a common human problem close to home: people often need help making sense of
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school pressure, work uncertainty, belonging, comparison, or fear about what
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comes next. They may not need a grand solution. They need to feel understood,
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separate evidence from prediction, see realistic choices, and identify one
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manageable action.
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Generic reassurance does not solve that problem. Telling someone to believe in
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themselves may sound warm, but it does not help them decide whether to review a
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missed test question, identify a knowledge gap, ask for clearer expectations,
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or gather more information before making a job decision.
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The forest is designed to make that support easier to approach. The visual
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journey lowers the emotional barrier to reflection, while the model pipeline
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keeps the result tied to the person's own words. It does not promise that the
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worry will disappear. It helps the person leave with a clearer understanding
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and a small next move.
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## The Experience
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The visitor starts with a name and one sentence about what is troubling them.
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