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0fc4ec3 f93ba31 c74d553 0fc4ec3 f93ba31 c74d553 0fc4ec3 c74d553 0fc4ec3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | # Build Small submission notes
## Project
- Name: Trace Field Notes
- Track: Backyard AI
- Space: https://huggingface.co/spaces/build-small-hackathon/trace-field-notes
- Runtime: https://build-small-hackathon-trace-field-notes.hf.space/
- GitHub: https://github.com/JacobLinCool/trace-field-notes
- Demo video: https://youtu.be/1QNZlqkl8zo
- Demo MP4 asset: https://huggingface.co/spaces/build-small-hackathon/trace-field-notes/resolve/main/assets/trace-field-notes-demo.mp4
- X post: https://x.com/JacobLinCool/status/2066160425952334155
## Official pre-flight checklist
- [x] Every model is under 32B total parameters:
- `openbmb/MiniCPM5-1B`
- `nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16`
- `openai/privacy-filter`
- [x] Gradio app deployed as a Space in `build-small-hackathon`.
- [x] Demo video produced and uploaded to YouTube.
- [x] Backup demo MP4 hosted as a public Space asset.
- [x] X post published and linked from README.
- [x] ZeroGPU usage is one Space for this app.
- [x] README frontmatter includes track / quest tags and model metadata.
## Quest / challenge eligibility
- Backyard AI: eligible. The app solves a concrete workflow problem for coding
agent users.
- Best Use of Codex: eligible. Codex helped build, package, document, demo, and
verify the project; GitHub commits include Codex co-author trailers.
- Best MiniCPM Build: eligible. Quick analysis uses `openbmb/MiniCPM5-1B`.
- Nemotron Hardware Prize: eligible. Deeper analysis uses
`nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16`.
- Off Brand: eligible. The UI is a custom React field-notebook/trail-map
experience served through `gradio.Server`, not stock Gradio components.
- Best Demo: eligible. The YouTube demo, backup MP4 asset, and public X post are
prepared.
- Tiny Titan: not eligible because the project offers an optional 30B Nemotron
path.
- Best Use of Modal: not eligible; the runtime is Hugging Face ZeroGPU / CPU.
- Best Agent: not targeted. The app is agent-callable, but the app itself is not
a multi-step autonomous tool-use agent.
## Submission-form summary
Trace Field Notes is a Build Small Backyard AI app for people using coding
agents. Upload a Codex, Claude Code, or Pi Agent session log and the app turns
the agent's visible narrative messages into a qualitative field report: where it
got stuck, how it detoured, how it recovered, and whether its final claim matched
its own evidence. It uses a custom React UI served by `gradio.Server`, a
deterministic codebook analyzer, optional MiniCPM5 1B quick analysis, optional
Nemotron 3 Nano 30B-A3B deeper analysis, and privacy redaction before analysis.
Codex helped build, debug, document, deploy-package, and produce the narrated
demo video, with Codex-attributed commits in the connected GitHub repository.
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