# Figment Build Small Blog Drafts Draft status: working index for the Build Small writing set. ## 1. Building Figment For Build Small: What I Learned About Making Small Models Useful File: `docs/figment-build-small-lessons-draft.md` Audience: judges, builders, and public readers who want the high-level story. Core argument: useful small-model apps are systems of restraint, and that restraint turns failures into an iteration engine. Best current evidence to preserve in revisions: - hosted Omni split between app safety and model competence, - local v3 field-workflow holdout jump to `107/150`, - v5 false comfort: `150/150` final validation but only `2/150` model competence, - corrected scoring view with six changed cases, - v14p repair-union: `150/150` competence/final validation/expected labels, zero deterministic patches, zero fallback, with `146/150` raw success and `4/150` model-repair cases, - Field Kit Workbench UI as a clearer product surface without changing the harness contract, - public Hugging Face artifacts and trace receipts. ## 2. The Eval Loop That Made Figment Better File: `docs/figment-build-small-eval-loop-draft.md` Audience: builders who want the technical learning loop. Core argument: final app validation is not model competence; the later Figment loop worked because raw success, repair success, deterministic patches, and fallback were measured separately. Best current evidence to preserve in revisions: - v5 as the run that prevented a misleading success story, - v6/v7 targeted replay-and-delta curriculum, - corrected benchmark hygiene instead of training around scorer bugs, - prompt-policy probes that made results worse, - v14p repair-union as a narrow but defensible system claim. ## Likely Follow-Up Angles - A demo-focused post or submission section comparing Figment's evidence depth against clearer Backyard demos. - A short "what the trace shows" post with screenshots or annotated examples. - A public artifact guide that points readers to the model repo, dataset configs, and selected eval traces.